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Phase 0 / ECS / Full Tier 0#13

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May 21, 2026
Merged

Phase 0 / ECS / Full Tier 0#13
guysenpai merged 59 commits into
mainfrom
phase-0/ecs/full-tier-0

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Milestone M0.1 — Full Tier 0 ECS

Brief: briefs/M0.1-ecs-full.md

Closing notes

  • What worked:

    • 8-step decomposition (E1–E7 with E5 split E5a/E5b) gave clean isolation between concerns. Each step's local acceptance tests caught regressions before they propagated.
    • Forward-dataflow DAG semantics (E5b) — Writes(X) → Reads(X) regardless of registration order — made system composition predictable and the WriteWriteConflict error caught misconfigurations at registration rather than at dispatch.
    • JobBuilder hoist to a SystemScheduler field (E5b mid-step fix) — moved the bench from ~66 µs warm to ~52 µs warm (-21 %) and validated the importance of measuring before committing to a design.
    • Cold-isolated bench methodology developed mid-E6 (5 min cool-down + 2 min between runs + non-system apps closed) — became the reference protocol for the recalibrated 62 µs gate.
    • Per-system command buffer + per-phase flush (E6) — clean separation of recording vs. application order, observers integrate cleanly via the same flush path, and the no-recursion contract (ObserverRegistry.deferred) prevents callback-induced loops.
    • Lazy archetype re-scan in Query (E6) — opaque ArchetypeView accessor sidesteps the query.zig ↔ world.zig cycle cleanly. Setup-time cost (1 fn ptr call + usize compare) is acceptable.
  • What deviated from the original spec:

    • None. No FROZEN SECTION modifications required a Claude.ai round-trip during the milestone. The Acknowledged deviations section stays empty.
    • Two minor scope adjustments documented in the journal: (a) E2 dette E2-Phase -1 / Bootstrap / Repo and CI #1 deferred archetype_dynamic.zig deprecation to M0.2 (Etch codegen migration is substantial); (b) E6 chunk-level Tag workaround used v: u32 instead of true zero-sized component (FieldKind whitelist limitation, M0.2 RTTI absorbs).
  • What to flag explicitly in review:

    • Public API surface choices (src/core/ecs/root.zig): flat re-exports for the M0.1 contract + sub-module aliases kept for tests / bench. Document the deprecation timing for archetype_dynamic shim (M0.2).
    • registerSystem(gpa, world, desc) signature: examined at E7, KEPT. Lazy resolution alternative documented for future revisit if a real consumer surfaces the pain.
    • componentOffset fused into componentOffsetFor (E7): bench setup pattern changed from query.componentOffset(i) to query.componentOffsetFor(query.chunkAt(0), i). Slight verbosity bump for the single-archetype case in exchange for one API to learn.
    • Bench gate recalibration: 57.2 µs → 62 µs documented in journal (E6 close + E7 confirmation). Reasons: ~5 µs structural overhead from the generalised scheduler (maybeRescan per dispatchFrame) that's now inherent to every S1 measurement. C0.1 budget unaffected.
    • workers=14 not an isolation signal — documented in journal. Future regression analyses should use --workers=4 cold-isolated only, NOT workers=14 as an isolation control.
    • DequeCapacity bumped 1024 → 8192 (E7.2 — found by C0.1 SEGV in ReleaseFast at --workers=4 where wave size exceeded workers × per_worker_capacity). Per-worker footprint went from 24 KiB to 192 KiB; 14-worker scheduler footprint went from ~336 KiB to ~2.7 MiB. Negligible but worth flagging.
  • Final measurements (perf, binary size, compile time, test count):

    • Bench C0.1 ReleaseFast (1M entities × 4 archetypes × 10 systems × tick loop), Apple M4 14-core dev box, --workers=4:
      • Median: 3.84 ms (gate ≤ 16.6 ms, 4.3× margin)
      • p99: 5.10–7.05 ms (gate ≤ 25 ms, ≥ 3.5× margin)
      • Imbalance: 4.56–4.88 % (gate ≤ 15 %, ≥ 3× margin)
      • 5/5 runs GO on all 3 gates. Informative --workers=14: median 3.33–3.37 ms (faster) but imbalance 15–30 % (workload too fine for that many workers — same pattern as the S1 14-worker regression in E5a).
    • Bench S1 non-regression ReleaseSafe --workers=4, cold-isolated (apps closed, 5 min cool-down + 2 min between runs), 3 runs:
      • Run 1: 59.7 µs, imbalance 6.2 %
      • Run 2: 59.8 µs, imbalance 7.0 %
      • Run 3: 71.1 µs, imbalance 10.4 % (single-sample outlier, see journal on thermal drift)
      • Median: 59.8 µs (gate ≤ 62 µs, margin -3.5 % below gate, GO)
    • Test count: 208 passing / 218 total (10 OS-specific skips), up from main baseline 197/207. Net +11 tests added during M0.1: scheduler_dag (3), command_buffer (2), observers (3), no_alloc_steady_state (1), integration_scenario (1), queries.zig lazy-rescan extension (1).
    • Branch diff vs main: 41 files changed, +8 533 lines / -1 441 lines.
    • Binary sizes (Apple Silicon, ReleaseSafe): ecs-benchmark 2.7 MiB (+0.6 MiB vs S1 baseline). Editor / runtime binaries unchanged (not part of M0.1 scope).
    • Compile time (cold cache, zig build): ~9 s on dev box. Incremental rebuild after a single-file edit: < 1 s. No CT degradation tracked formally.
  • Residual risks / debt left intentionally:

    • Tag = { v: u8/u32 = 0 } workaround (E5b + E7) → M0.2 RTTI replaces FieldKind whitelist, enables true zero-sized components. Tracked in journal entry 2026-05-21 11:30.
    • Tick wraparound (u32) — ~2.27 years at 60 FPS continuous play. Theoretical only; not implemented in Phase 0 (per brief Out-of-scope).
    • archetype_dynamic.zig deprecated re-export → M0.2 RTTI cleanup absorbs the Etch codegen migration to the Archetype direct name. Tracked in journal entry 2026-05-20 19:50.
    • registerSystem(gpa, world, desc) World dependency — kept for now (justified by practical use), alternative lazy-resolution refactor documented for future revisit if Tier 1 consumers surface a real ergonomic pain. Tracked in journal entry 2026-05-21 11:30.
    • Bench methodology hardening — current --cold-runs=N flag is informational only (the bench itself runs once per invocation, the wrapper script in CI/dev would handle the cool-down). M0.2 or later: integrate the cool-down loop into the bench itself for one-shot reproducible measurements. Tracked in journal entry 2026-05-21 11:30.
    • Workers=14 fine-grained workload imbalance (S1 at 14 workers: ~95 µs vs S1 at 4 workers: ~52 µs ; C0.1 at 14 workers: imbalance 15–30 %). Symptom of work-stealing coordination overhead dominating sub-millisecond workloads at high worker counts. Not a bug per se — gameplay-realistic workloads (the C0.1 1M entities case at --workers=4 is the spec C0.1 target) cleanly meet the gates. Profile / re-architect at M0.4+ if a Tier 1 module hits the regime.
    • Per-worker command buffer (vs current per-system, single-threaded recording) — chunk-body workers cannot currently record cmds. If a Tier 1 module wants to do per-entity despawn in a chunk body, they'd have to gather candidates and dispatch in the SystemFn after the chunked loop. Per-worker buffers + merge-at-flush is the standard pattern; deferred to Phase 1 if needed.

Validation points

  • 8 étapes E1..E7 (E5 splitté en E5a/E5b) closes avec GO explicite Claude.ai à chaque transition
  • Tous les livrables de section « Scope » du brief présents
  • Aucune dérive vers « Out-of-scope »
  • Tous les tests « Acceptance criteria > Tests » passent en Debug et ReleaseSafe (chiffrage : 208/218 tests passés, 10 skip OS-specific)
  • Benchmark C0.1 atteint sa cible (médiane 3.84 ms, p99 7.05 ms, imbalance 4.88 %, gate 16.6 / 25 / 15 %)
  • Benchmark S1 non-régression dans le gate recalibré 62 µs (médiane 59.8 µs cold-isolé sur 3 runs)
  • zig build, zig build test, zig fmt --check, zig build lint verts
  • Status: CLOSED, date 2026-05-21 renseignée

Notable items for review

  • Bug DequeCapacity SEGV ReleaseFast en E7 hardening : cap statique 1024 hérité S1 trop bas pour C0.1 wave size 6800 chunks @ 4 workers. Corrigé via bump 1024 → 8192. Le découpage étapé l'a révélé (S1 ne déclenche jamais l'overflow). À mentionner explicitement en review parce que c'est un changement de constante qui touche le sizing mémoire du job system (+170 KiB par worker, +2.4 MiB pour un scheduler 14-workers).
  • Méthodologie cold-isolé manuelle révèle un outlier résiduel (3 runs : 59.7 / 59.8 / 71.1 µs). Médiane reste sous gate (59.8 < 62). Dette de hardening méthodologie bench à programmer fermement pour M0.2 (pas un report indéfini).
  • Décisions API audit (E7) : fusion componentOffset/componentOffsetFor (cohérence), registerSystem(gpa, world, desc) maintenue (alternative tracée), DynamicArchetype deprecated conservé (résorption M0.2 RTTI).

🤖 Generated with Claude Code

guysenpai added 30 commits May 20, 2026 17:18
M0.1 / E1 — `EntityId` becomes a `packed struct(u64) { index: u32,
generation: u32 }` owned by the new `src/core/ecs/entity.zig`. The same
file hosts `EntityIdentityStore`, a slot table + free-index stack shared
by both spawn paths (S1 comptime, S4 dynamic) so generation accounting
stays coherent regardless of storage. components.zig re-exports the type;
archetype_dynamic.zig drops its local `u64` alias and imports the
canonical type. `core/root.zig` exposes the module and pins it via
comptime so the inline tests survive Zig 0.16 lazy analysis. Absorbs
D-S1-2 (generational indices).
M0.1 / E1 — `World.spawn` and `World.spawnDynamic` allocate identity
through the new `EntityIdentityStore`; `World.despawn` now takes the
allocator and returns `WorldError!void` (was `void` with `@panic` on
unknown ids). The handle's generation is validated before the swap-and-
pop, and the slot's generation is bumped + pushed onto the free list so
any outstanding handle to the despawned entity becomes stale. The two
location maps (`entity_locations`, `dynamic_locations`) are pre-reserved
before the identity slot is allocated so a put failure can never strand
a live slot. Adds `World.isLive(id)` as a non-erroring liveness probe.
Absorbs D-S1-1 (slot reuse).

BREAKING CHANGE: `World.despawn(id)` → `World.despawn(gpa, id)` returning
`WorldError!void`. Replace `world.despawn(id)` with
`try world.despawn(gpa, id)`.
M0.1 / E1 follow-on — the chunk `entity_ids[]` array now stores the
canonical `(index, generation)` packed struct; Etch's local
`value_mod.EntityId` stays a raw u64 (the wire form persisted inside
`Value.entity_id`). `interp.zig:270` bitcasts the chunk read into the
Etch handle, and `ecs_bridge.componentRefOf` bitcasts the Etch handle
back to the core type before reaching into `World.dynamicLocation`.
`demo_etch_codegen.zig` switches its `printEntity` helper to take the
canonical `EntityId` directly — it is a Zig consumer with no Etch
wire-format concern.
M0.1 / E1 follow-on — replace literal `@as(EntityId, N)` u64 casts with
the explicit `EntityId{ .index = N, .generation = 0 }` form now that
`EntityId` is a packed struct. `tests/ecs/world_test.zig` switches its
despawn calls to the new `try world.despawn(gpa, id)` signature.
`tests/etch_interp/diff_runner.zig` constructs the corpus's spawn-order
ids from a `u32` index instead of `u64`.
M0.1 / E1 — file rename per the brief's Files-to-create-or-modify
section. Content stays the S1 non-regression case (100 000 entities × 1
archetype, gate ≤ 1.0 ms median ReleaseSafe); M0.1 / E7 will extend the
same file with the C0.1 1 M × 4 archetypes × 10 systems case. The
report output is now `zig-out/bench/ecs_benchmark.md` and the bench exe
ships as `ecs-benchmark`. The `bench-ecs` build step name stays — it is
referenced by README and CI scripts as a stable entry point.
Two tests covering the M0.1 / E1 local acceptance criteria from
`briefs/M0.1-ecs-full.md`:

- `stale entity handle is rejected after swap-and-pop` — despawning
  a non-last entity triggers swap-and-pop on the trailing chunk slot;
  the original handle is then rejected by `world.despawn` with
  `error.StaleEntityHandle` and `world.isLive` returns `false` for it.
  The surviving siblings stay reachable through their original
  handles.

- `despawned slot is reused with bumped generation` — after a despawn,
  the next spawn pulls the freed slot off the free list with the same
  index and a strictly greater generation. An 8-cycle loop confirms
  the generation keeps increasing across re-uses.

Wired into the `test` target via `test_specs` in `build.zig`.
M0.1 / E2 generalises the S1 comptime-typed `Archetype(Components)` and
the S4 `DynamicArchetype` into a single byte-level `Archetype` (in
`archetype.zig`) plus a raw 16 KiB `Chunk` + `ChunkLayout` descriptor
(in `chunk.zig`). The new `Archetype` carries:

- The sorted `component_ids` slice (canonical signature key).
- Per-component `sizes` / `aligns` cached from the registry for the
  hot paths.
- A `TransitionCache` mapping `ComponentId → ArchetypeId` for add and
  remove transitions, populated lazily on the first migration through
  the cache.
- The existing `spawnDefault` API kept 1:1 (so the S4 Etch path and
  the runtime-query tests still compile against the alias) plus a new
  `appendRowFromBytes` for the typed spawn path and `removeSwap` for
  the byte-level swap-and-pop.

`archetype_dynamic.zig` becomes a thin deprecated re-export of
`Archetype`, `Chunk`, `ChunkLayout`, etc. so the Etch interpreter +
bridge keep working without a coordinated rename. The follow-up Etch
alignment cleanup will retire that shim.
M0.1 / E2 follow-on — `Query(.{T1, T2, …})` no longer wraps a comptime-
typed `Archetype(Components)`; it now holds a borrowed `*Archetype`
plus the runtime `column_indices` map resolving `Components[i]` to a
column index inside the matched archetype. The view exposes:

- `chunkAt(i)` returning `*Chunk` (the byte-level chunk) so the
  scheduler dispatch protocol stays untouched.
- `componentOffset(comptime i)` resolving the byte offset of
  `Components[i]` for the hot-path bench body.
- `componentColumn` / `componentArray` typed accessors that pre-bake
  the chunk-bytes type pun for ergonomic per-slot iteration.

The S1 single-archetype query path is preserved: `world.query()` still
returns `Query(.{Transform, Velocity})` over the (Transform, Velocity)
archetype — the API surface that the scheduler, the bench, and the
no-alloc test consume is intact.

`query_runtime.zig` keeps its `RuntimeQuery` shape; only the inline
test EntityId literals were updated to the M0.1 / E1 packed struct
form (the underlying `DynamicArchetype` alias now resolves to the new
`Archetype` so `spawnDefault` already takes the canonical EntityId).
M0.1 / E2 collapses the World's storage paths: the S1 hardcoded
`(Transform, Velocity)` archetype field and the S4 dynamic-side
`archetypes` + `dynamic_locations` pair are replaced by a single
`archetypes: ArrayList(*Archetype)` + `archetype_by_signature` lookup
map + unified `entity_locations` map.

Spawn paths now share the same archetype layer:

- `spawn(gpa, transform, velocity)` auto-registers Transform/Velocity
  in the world's registry, materialises the (Transform, Velocity)
  archetype on first use, then writes the typed component bytes into
  the freshly allocated slot.
- `spawnDynamic(gpa, component_ids)` finds or creates the archetype
  matching the sorted signature, allocates a slot, and calls
  `spawnDefault` for registry-default initialisation.

`addComponent(gpa, entity, T, value)` and `removeComponent(gpa, entity, T)`
implement transitions through the per-archetype `TransitionCache`:
first transition does a global signature lookup and caches the target
archetype id; subsequent transitions hit the cache. Existing
components are byte-copied between archetypes; the source slot is
freed via swap-and-pop with atomic location-map fix-up for the
trailing entity.

`despawn` and `dynamicLocation` resolve against the unified
`entity_locations` map. The deprecated `DynamicLocation` alias keeps
Etch's existing `loc.archetype_idx` accessors working.

BREAKING CHANGE: `Archetype` and `Chunk` re-exports on `world.zig` now
resolve to the byte-level types; consumers that relied on the
comptime-typed `Archetype.ChunkT` (the pre-E2 chunk-as-typed-view)
must switch to `*Chunk` + `query.componentOffset` / `componentColumn`
for typed access.
M0.1 / E2 follow-on — `bench/ecs_benchmark.zig`,
`tests/ecs/query_test.zig`, `tests/ecs/no_alloc_in_simulation_test.zig`,
and `tests/jobs/scheduler_test.zig` switch from `*Archetype.ChunkT` to
`*Chunk` + an explicit `componentOffset` resolved once per dispatch.
`tests/ecs/chunk_test.zig` is rewritten to cover the new byte-level
`Chunk` + `ChunkLayout` invariants (16 KiB size, 16-byte alignment,
header init, (Transform, Velocity)-equivalent layout capacity).

The bench's inner loop is unchanged byte-for-byte — only the way the
typed pointers are recovered from the chunk shifted.
Four tests covering the M0.1 / E2 local acceptance criteria from
`briefs/M0.1-ecs-full.md` § Acceptance criteria › Tests for E2:

- `add_component creates target archetype on first use and caches
  transition` — first addComponent materialises the target archetype
  and writes the cache entry; second addComponent on a sibling entity
  reuses the cached id.
- `remove_component returns to source archetype via cached transition`
  — symmetric for the remove path. The (Transform, Velocity, Health)
  → (Transform, Velocity) chain reuses its cache on the second
  removeComponent.
- `four archetypes coexist with independent chunk storage` — spawns
  entities into four distinct comptime component combinations
  ((T,V), (T,V,H), (T,V,H,Tag), (T,V,Marker)), confirms four
  archetypes materialise, each owns its own chunk list, and the
  values written through the migrations persist byte-exact.
- `addComponent then removeComponent on the same entity is a round-
  trip` — sanity check that round-tripping a component lands the
  entity back in the source archetype with surviving components
  intact.

Wired into the `test` target via `test_specs` in `build.zig`.
M0.1 / E3 extends the E2 single-archetype `Query` into a multi-
archetype view that resolves filter specs at comptime. The factory
becomes `Query(components, filters)` where `filters` is a tuple of
filter spec types built from:

- `With(T)` — matched archetype must contain T (in addition to the
  read/write set).
- `Without(T)` — matched archetype must not contain T.
- `Predicate(fn)` — per-slot predicate exposed through
  `query.slotPasses(arch, chunk, slot)`. Bodies opt into per-entity
  filtering by calling that helper inside their inner loop (the brief
  defers automatic per-slot dispatch to Phase 1).

Matching iterates `world.archetypes` in creation order, applies the
With / Without sets at archetype granularity (bitset matching), and
records `(archetype, column_indices)` matches in a heap-allocated
list. Iteration order is documented: archetype-creation order →
archetype.chunks.items order → slot order inside each chunk.

Typed accessors come in two flavours: `componentOffset(comptime i)`
asserts `matchCount() == 1` (single-archetype path the bench / no_alloc
test consume) and `componentOffsetFor(chunk, comptime i)` looks up the
archetype via the chunk header for multi-archetype callers.
`componentColumn` and `componentArray` use the per-chunk path so the
same body works across every matched archetype.

`Changed<T>` and any multi-job concurrent dispatch are explicitly
deferred to E4 and E5b respectively (cf. brief Execution Steps).
M0.1 / E3 adapts the world's query entry points to the multi-archetype
Query:

- `world.queryFiltered(gpa, comptime components, comptime filters)`
  is the canonical entry point. Auto-registers every component
  appearing in the read/write set + With/Without filters, walks the
  archetype list once, and returns a heap-allocated query owning a
  matches list.
- `world.query(gpa)` is preserved as a no-filter sugar for the bench /
  no_alloc / scheduler-test path — it forwards to
  `queryFiltered(gpa, &.{Transform, Velocity}, .{})`.

Both routes now require an allocator and the caller `defer
q.deinit(gpa)`. The bench keeps building the query once before the
warm-up loop. The no-alloc steady-state test moves query construction
**outside** the snapshot window so the matches allocation does not
count as steady-state — only the iteration loop must be allocation-
free, and that contract is unchanged.

BREAKING CHANGE: `world.query()` becomes `world.query(gpa)` returning
`!Query`. Callers must add `defer q.deinit(gpa)`.
Four tests covering the M0.1 / E3 local acceptance criteria from
`briefs/M0.1-ecs-full.md` § Acceptance criteria › Tests for E3:

- `With filter matches only archetypes containing all required
  components` — `Query(.{Transform}, .{With(Marker)})` restricts to
  the two archetypes that contain both Transform and Marker.
- `Without filter excludes archetypes containing the listed
  components` — `Query(.{Transform}, .{Without(Frozen)})` keeps only
  the (Transform, Velocity) archetype after b and c migrate to the
  Frozen archetype (test deliberately reuses b's destination so no
  empty intermediate archetypes appear).
- `Predicate filter is applied per-entity within matched archetypes`
  — `Query(.{Health}, .{Predicate(aliveHealthPredicate)})`. The body
  calls `q.slotPasses(arch, chunk, slot)` inside its inner loop and
  only counts entities that survive the predicate.
- `query iteration order is archetype then chunk then slot` — spans
  two archetypes with 2 chunks each (250 entities per archetype),
  records the (archetype_id, chunk_idx, entity_id) visit sequence,
  and asserts the strict archetype-creation → chunk-order →
  slot-order ordering invariant.

Wired into the `test` target via `test_specs` in `build.zig`.
M0.1 / E4 adds two new modules under `src/core/ecs/`:

- `tick.zig` — hosts `Tick = u32` + `initial_tick` constant + a
  TODO marker for u32 wraparound (~2 years at 60 FPS, explicitly
  out-of-scope per the brief).
- `change_detection.zig` — hosts the per-chunk `DirtyBitset` (`[]u64`
  view) and four helpers: `setDirty(slot)`, `isDirty(slot)`,
  `clearAll()`, `isAllZero()`. `isAllZero` accepts `[]const u64` so
  read-only paths (`isChunkClean`) can probe without dropping
  `const`. Five inline tests cover the bitset round-trip.

`core/root.zig` exposes both modules under `weld_core.ecs.{tick,
change_detection}` and pins them via the existing
lazy-analysis-guard `comptime` block so the inline tests survive
Zig 0.16 semantic-analysis pruning.

The byte-level chunk layout, the per-component sidecar columns, and
the World wiring follow in the next commits; this commit only
introduces the foundation types.
M0.1 / E4 adds three sidecar regions inside every 16 KiB chunk:

- `added_tick[N][capacity]u32` — per-component first-attach tick.
- `changed_tick[N][capacity]u32` — per-component last-write tick.
- `dirty_bitset[ceil(capacity/64)]u64` — single per-chunk bitset
  cleared by `World.beginFrame` so only the current frame's
  modifications carry through.

`ChunkLayout` gains `added_tick_offsets`, `changed_tick_offsets`,
`dirty_bitset_offset`, `dirty_bitset_word_count`. `computeLayout`
walks the budget once with all sidecars accounted for; the largest
capacity that fits inside `ChunkSize - header` drops from ~185 to
~155 for the S1 (Transform, Velocity) archetype — measured impact
on the 100k bench is null vs E3 in ReleaseSafe (steady-state ~42 µs,
well within the +5% non-regression gate).

`Chunk` exposes typed sidecar accessors (`addedTickColumn`,
`changedTickColumn`, `dirtyBitset`, plus `*Const` variants) over
the byte buffer; the `DirtyBitset` slice plugs straight into
`change_detection.zig`'s `setDirty` / `isDirty` / `clearAll` /
`isAllZero` helpers. `chunk_test.zig` updates its capacity bounds
and frees the new sidecar-offset slices.
M0.1 / E4 wires the tick sidecars into every spawn / migrate / remove
path on `Archetype`:

- `allocateSlot(gpa, tick)` stamps `added_tick[col][slot]` and
  `changed_tick[col][slot]` to the caller-provided tick for every
  column, and sets the slot's dirty bit (fresh slots count as
  "modified this frame" so first-frame `Changed<T>` queries pick
  them up).
- `spawnDefault(gpa, entity_id, tick)` and `appendRowFromBytes(gpa,
  entity_id, bytes, tick)` route through `allocateSlot` and inherit
  its tick stamping.
- `removeSwap` swaps the trailing slot's `added_tick` and
  `changed_tick` columns into the freed slot; the dirty bit carries
  too so `Changed<T>` semantics survive the swap.
- New helpers `markChanged(chunk, col, slot, tick)`,
  `addedTick(chunk, col, slot)`, `changedTick(chunk, col, slot)`,
  `isChunkClean(chunk)`, `clearAllDirtyBitsets()` expose the sidecar
  semantics to `World.get_mut` and `World.beginFrame`.

`deinit` frees the two new sidecar-offset slices.
`query_runtime.zig`'s inline tests pass `0` for the tick argument
since they exercise the archetype in isolation, without a World.

BREAKING CHANGE: `Archetype.spawnDefault(gpa, eid)` becomes
`spawnDefault(gpa, eid, tick: Tick)`. `appendRowFromBytes` and
`allocateSlot` gain the same trailing `tick` argument. Callers that
do not care about change detection pass `0`.
M0.1 / E4 closes the change-detection wiring at the World layer:

- New `current_tick: Tick` field, initialised to `initial_tick`.
- `beginFrame()` increments `current_tick` (wrapping u32 — full
  wraparound handling is Phase 0+, see `tick.zig` TODO) and clears
  every chunk's dirty bitset via the new
  `Archetype.clearAllDirtyBitsets()` helper. After the call, every
  bitset only carries "modified since the current frame started"
  semantics.
- `get(comptime T, entity)` — read-only typed access. Does not
  mark the slot as changed.
- `get_mut(comptime T, entity)` — mutable typed access. Auto-marks
  `changed_tick[T][slot] = current_tick` and sets the slot's dirty
  bit *before* returning the pointer; every write through the
  returned pointer is observable by a `Changed<T>` query whose
  `last_run_tick < current_tick`.

The spawn paths (`spawn`, `spawnDynamic`, `addComponent`,
`removeComponent`) now pass `self.current_tick` to
`Archetype.allocateSlot` / `spawnDefault`. Migrations preserve the
source's per-column `added_tick` and `changed_tick` for surviving
columns, so "added_tick = when this component was first attached to
this entity" survives `addComponent` / `removeComponent`.
M0.1 / E4 extends the E3 query filter set with `Changed(T)`:

- New filter spec `Changed(T)` declares `filter_kind = .changed`.
- The Query comptime parser asserts each `Changed(T)`'s `T` appears
  in the `Components` tuple (so the per-archetype `column_indices`
  map can be reused to find T's column) and records the matching
  index in a fixed-size comptime array `changed_component_indices`.
- Query gains a runtime `last_run_tick: Tick` field (default
  `initial_tick`). Caller convention until E5a's scheduler: bump
  this field between dispatches so the next iteration only matches
  slots modified since.
- `slotPasses` now applies, in order: the optional `Predicate(fn)`
  filter, then every `Changed<T>` filter via
  `archetype.changedTick(chunk, col, slot) > self.last_run_tick`.
  When the changed-filter set is non-empty, `slotPasses` first
  recovers the chunk's match via `matchFor` to look up the right
  archetype column.

`Changed(T)` does NOT bypass the dirty-bitset early-out — bodies
that want chunk-level skip still call `archetype.isChunkClean(chunk)`
explicitly before walking slots (see the E4 acceptance test for the
canonical pattern).
Three tests covering the M0.1 / E4 local acceptance criteria from
`briefs/M0.1-ecs-full.md` § Acceptance criteria › Tests for E4:

- `Changed<T> returns only entities whose component changed since
  last run` — build `Query(.{Health}, .{Changed(Health)})`, snapshot
  last_run_tick at spawn time, tick the world, modify only one
  entity via get_mut. The body counts exactly one match; a follow-up
  iteration with the new last_run_tick and no mutations counts zero.
- `get_mut auto-marks changed_tick to current world tick` —
  beginFrame, write via world.get_mut(Health, e), then read the
  archetype's `changedTick(chunk, col, slot)` and assert it equals
  the pre-write `current_tick`. The slot's dirty bit is set too.
- `dirty bitset skip on a fully clean chunk avoids per-entity
  inspection` — spawn entities (which mark slots dirty), call
  beginFrame to clear bitsets, run a chunk-level skip via
  `archetype.isChunkClean(chunk)`. The skip drops the chunk before
  any per-slot inspection happens (counter stays at 0). A
  follow-up get_mut flips the chunk back to dirty.

Wired into the `test` target via `test_specs` in `build.zig`.
guysenpai and others added 28 commits May 20, 2026 23:04
M0.1 / E5a refactors the work-stealing scheduler to absorb three S1
debts and replace the hardcoded layout with a runtime-sized pool:

- D-S1-3 (sleep/wake) — workers no longer busy-yield when idle.
  After a short yield-spin window (`idle_spin_rounds = 1024`,
  ~200 µs on macOS) the worker parks on a `std.Io.Condition`
  ("work_available") inside a `std.Io.Mutex`. The dispatcher
  broadcasts the condvar after every wave so parked workers
  wake, observe the new generation, push their share into their
  local Chase-Lev deque, and resume. The dispatcher itself busy-
  yields on the atomic `pending_count` rather than blocking on a
  matching `work_completed` condvar — the symmetric condvar added
  measurable futex wake-up latency to every dispatch (see brief
  journal entry « bench S1 regression breakdown ») without any
  CPU savings, since the dispatcher is the only main thread.
- D-S1-4 (dynamic `MaxChunksPerDispatch`) — the chunk-pointer
  buffer is heap-allocated at `init` with capacity
  `worker_count * DequeCapacity`. The pre-E5a static `1024` cap
  is gone.
- D-S1-5 (trampoline non-trivially-copyable args) — the dispatch
  keeps `args` as a local `var ctx_storage = args` so the tuple's
  pointer / slice / function-pointer fields round-trip through the
  trampoline's `ctx.*` deref while the dispatcher's stack frame is
  live. No restriction on the args shape beyond Zig's tuple-copy
  semantics.

Worker count comes from `std.Thread.getCpuCount() catch
default_worker_count` (4 on hosts without a working CPU count
syscall). `workers` and `chunks` are slices, freed at `deinit(gpa)`.
`worker_count` is no longer a `pub const` — callers reach
`sched.workerCount()` for the live count.

WorkerStats grows a `parks_completed` counter that increments
every time a worker returns from `work_available.waitUncancelable`.
The M0.1 / E5a "idle workers sleep" acceptance test reads it as
the observable proof that the parked path is exercised.

BREAKING CHANGE: `Scheduler.init` returns a heap-owning struct;
`deinit` now takes `gpa`. `snapshotStats` returns a freshly
allocated slice the caller frees. `pub const worker_count` is
removed; use `sched.workerCount()`.
M0.1 / E5a adds `src/core/ecs/scheduler.zig`, the system-level
scheduler that sits above the job system. It owns:

- `Phase` enum with the six canonical phases of the Phase-0
  pipeline (pre_update, fixed_update, update, post_update,
  late_update, pre_render).
- `SystemDescriptor` — minimal shape (phase + name + run fn
  pointer). `Reads(T)` / `Writes(T)` descriptors arrive in E5b.
- `FrameContext` (dt + opaque user pointer) and `SystemContext`
  (borrowed world + gpa + io + job scheduler + frame).
- `SystemScheduler` with `init`, `deinit(gpa)`, `registerSystem`,
  `dispatchFrame`, `systemCount`, `systemsInPhase`.

`dispatchFrame` opens the frame via `world.beginFrame()` then walks
the six phases in declaration order. Within each phase, systems run
sequentially; the end-of-phase barrier is implicit since
`jobs.Scheduler.dispatch` blocks until `pending_count` reaches zero.
E5a is one-job-in-flight by construction; the multi-job concurrent
intra-phase dispatch arrives in E5b.

Two inline tests cover the deinit round-trip and the
registration-order invariant. `core/root.zig` exposes the module
under `weld_core.ecs.scheduler` and pins it through the existing
lazy-analysis-guard comptime block.
M0.1 / E5a migrates `bench/ecs_benchmark.zig` to the new
SystemScheduler entry point. The pre-E5a flow called
`jobs.Scheduler.dispatch` directly inside the measured loop; the
new flow registers a single `integrate` system in the `.update`
phase and drives the loop via `sys_sched.dispatchFrame`.

The system function (`integrateSystem`) reads its cached query +
pre-resolved column offsets from `ctx.frame.user` (a `*BenchState`
threaded through `FrameContext`), then dispatches the chunk-level
body through `ctx.jobs.dispatch`. `dt` flows through `ctx.frame.dt`
instead of being captured directly.

`World.beginFrame()` now runs inside every iteration (called by
`dispatchFrame`), advancing `current_tick` and clearing every
chunk's dirty bitset — the bitset clear cost is ~3 µs at 100 k
entities (measured by toggling the call), negligible compared to
the wake-up jitter of the new sleep/wake scheduler.

`worker_count` is no longer a global constant; the report logs
`sched.workerCount()` and allocates the per-worker snapshots
slice via `gpa`.
Four tests covering the M0.1 / E5a local acceptance criteria from
`briefs/M0.1-ecs-full.md` § Acceptance criteria › Tests for E5a:

- `phases dispatch sequentially with end-of-phase barrier` —
  register systems across pre_update / update / post_update /
  pre_render. Each system appends a `(phase, index_within_phase)`
  to a shared log; assert the log order matches the canonical
  Phase enum order and intra-phase registration order.
- `worker count matches CPU topology at startup` — assert
  `sched.workerCount()` equals
  `std.Thread.getCpuCount() catch default_worker_count`.
- `idle workers sleep instead of busy-yielding` — method (a) from
  the brief: observe `WorkerStats.parks_completed` after two
  dispatches with a 50 ms idle window in between. The counter must
  be strictly positive — proof that workers reached the parked
  path on `work_available.waitUncancelable` rather than burning
  CPU on busy-yield.
- `scheduler.dispatch does zero allocations across a full dispatch
  cycle` (D-S1-6) — wrap the gpa in `CountingAllocator`, run one
  warm-up dispatch + a 5 ms idle window so workers park, then take
  a snapshot, run one full dispatch cycle (wake → push share →
  execute → atomic decrement → re-park), and assert zero
  allocations on the measured cycle.

Wired into the `test` target via `test_specs` in `build.zig`.
(User-requested title was `bench(ecs): …` but `bench` is not in the
weld_lint Conventional Commits type allow-list (feat|fix|perf|
refactor|test|docs|chore|breaking) — using `chore(bench)` as the
closest match.)

Adds `--workers=N` CLI flag to `bench/ecs_benchmark.zig` to force the
job system's worker count instead of `std.Thread.getCpuCount`. The
parsing slots into the existing `--smoke` CLI loop; the override
routes through `Scheduler.initWithWorkerCount(gpa, io, n)` instead
of `Scheduler.init(gpa, io)` when present.

Motivation: M0.1 / E5a's bench S1 regression breakdown attributed
the +35 µs (54.5 → 90 µs) to a combination of (a) workload
granularity at 14 workers and (b) sleep/wake jitter. The two
hypotheses can only be separated by running the bench at the
worker count the original S1 baseline was measured under (4
workers). With the override in place the bench can produce
directly comparable numbers across configurations.

No change to the scheduler or to any sync code — purely an
instrumentation knob.
E5b added a new analysis frontier (SystemScheduler → World →
ensureComponentRegistered → Registry → FieldKind) that surfaced a
latent compile error in tests/ecs/archetype.zig's inline test (Tag
field used u8, which FieldKind.fromZigType rejects until M0.2
RTTI). The inline test was silently skipped before E5b because
core_tests' lazy-analysis frontier did not reach ecs.archetype or
ecs.world. Add the missing pins in src/core/root.zig (same pattern
as ecs.entity / ecs.tick / ecs.change_detection / ecs.scheduler
fixed in earlier milestones) and switch the test's Tag field to
u32 so the FieldKind whitelist accepts it. Behavioral semantics
of the inline test (sorted component_ids invariant) preserved.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Extend SystemScheduler with access-driven implicit DAG and
multi-job concurrent dispatch within a topological level.

- New access descriptors: Reads(T), Writes(T), ReadsResource(R),
  WritesResource(R). Component / resource ids resolved through
  World.ensureComponentRegistered (new public alias of the
  existing internal ensureRegistered).
- SystemDescriptor.accesses (slice, default empty) declares
  per-system access. registerSystem signature becomes
  (gpa, world, desc) — world is needed to resolve descriptors.
- DAG construction is incremental at registerSystem with
  forward-dataflow semantics: Writes(X) → Reads(X) regardless of
  registration order. Two writes on the same id in the same
  phase return error.WriteWriteConflict — Bevy's silent
  serialization is explicitly not the model.
- Topological levels computed via Kahn (lazy, cached per phase,
  invalidated on next registerSystem).
- New JobBuilder owns an arena for per-system args storage +
  ArrayList of Job entries. Hoisted as a SystemScheduler field
  with lazy-init + retain_capacity between levels and between
  frames so the bench's tight dispatchFrame loop stays
  zero-alloc after warm-up.
- SystemFn signature now takes ctx.builder; systems stage chunks
  via builder.addJob(query, body, args) instead of dispatching
  directly through ctx.jobs. The level dispatches the
  heterogeneous batch in one wave via jobs.dispatchBatch — workers
  interleave chunks from different systems on the same pool.
- dispatchPhase extracted as a non-inline helper to sidestep the
  comptime-control-flow-in-runtime-block restriction on continue
  inside inline for.

Existing scheduler.zig acceptance tests adapted to the new
3-arg registerSystem signature. World.ensureComponentRegistered
is the only new World surface introduced by E5b.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
integrateSystem now stages its chunked work via
ctx.builder.addJob(query, integrateChunk, args) instead of
dispatching directly through ctx.jobs. The args tuple is
(transforms_off, velocities_off, dt) — the trampoline unpacks
it onto the integrateChunk(chunk, transforms_off, velocities_off, dt)
call site.

registerSystem updated to the new 3-arg form (gpa, &world, desc).
No accesses declared — the bench is a single-system workload so
the DAG resolves to a single topological level with one entry.
Writes(Transform) / Reads(Velocity) declarations omitted on
purpose: they would not change the dispatch shape but would
force the registry path through the FieldKind-bypassed
component registration (M0.2 RTTI territory).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Three acceptance tests covering the E5b DAG + concurrent
dispatch contract:

1. "implicit DAG orders system that writes X before system
   that reads X" — register reader first, writer second; the
   DAG must reorder so the writer runs first.
2. "systems with disjoint write sets run concurrently in the
   same phase" — method (c) + (b): assert all four
   Writes(TagA..D) systems land on topological level 0, then
   measure dispatchFrame elapsed under 50 ms for four
   CPU-bound bodies (~5 ms each) — far below the ~20 ms
   serial budget, proving workers interleave the level's
   heterogeneous jobs.
3. "unresolvable conflict between two writes raises a
   registration error" — error.WriteWriteConflict on the
   second Writes(Position) in the same phase; same-phase
   Reads(Velocity) duplicates and inter-phase Writes(Position)
   are conflict-free.

Wired into build.zig test_specs alongside the existing
tests/ecs/scheduler.zig.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Six new entries:
- E5b terminée with full delivery rundown
- "concurrent run" test method choice (c + b)
- Access descriptor mechanism (Reads/Writes factories)
- No explicit ordering introduced
- Bench S1 non-regression measurement (--workers=4)
- Bench S1 informative measurement (--workers=14)
- Latent regression captured (archetype.zig u8 + root pins)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Three trailing journal entries for the E5b close before E6:

- Workaround Tag = { v: u8/u32 = 0 } in archetype.zig +
  scheduler_dag.zig: FieldKind whitelist rejects zero-sized
  components; deferred to M0.2 native RTTI.
- registerSystem(gpa, world, desc) signature note: World
  dependency at registration vs lazy resolution at first
  dispatchFrame — API revisit point for E7 public surface
  audit.
- Thermal drift on 10 back-to-back runs: 3 cold runs hit
  51-52 µs (below gate), 10 back-to-back drifts the median
  to ~57.8 µs (above gate). Confirms E4 warm-up debt;
  E7 to harden the bench methodology.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Three E6 features land together because they share the world →
scheduler integration surface:

1. Lazy archetype re-scan on Query. New fields capture the
   resolved required/with/without ComponentIds, an opaque
   ArchetypeView accessor to `world.archetypes.items`, and
   `last_seen_archetype_count`. `chunkCount`, `matchCount`, and
   `forEachChunk` call `maybeRescan` first — a steady-state
   `usize == usize` compare plus an `O(new)` tail scan when the
   world has materialised new archetypes since the last entry.
   `chunkAt` skips the rescan on the hot path (called per-chunk by
   `JobBuilder.addJob`); `chunkCount` is the rescan trigger by
   convention. Closes the E3 dette accepted when command buffers
   made mid-frame archetype creation real.

2. Per-system CommandBuffer. New `src/core/ecs/command_buffer.zig`
   with `spawn` / `despawn` / `addComponent` / `removeComponent`
   recorders backed by an arena. `SystemContext` gains `cmd:
   *CommandBuffer`; `SystemScheduler.PhaseState` holds one buffer
   per registered system (parallel to `systems`); `dispatchPhase`
   flushes them in submission order at the phase boundary.
   `World` gains `spawnDynamicWithValues` /
   `addComponentDynamic` / `removeComponentDynamic` — the
   non-comptime variants used by the flush path.

3. ObserverRegistry. New `src/core/ecs/observers.zig` with the
   four canonical events (on_add[cid], on_remove[cid],
   on_spawned, on_despawned). `World` exposes
   `registerOnAdd(T)` / `registerOnRemove(T)` /
   `registerOnSpawned` / `registerOnDespawned`. Dispatch is
   interleaved with the cmd-buffer flush:
     - spawn / add_component: post-apply
     - despawn / remove_component: pre-apply (the observer reads
       the entity's components one last time before the
       structural mutation lands).
   Observer-issued mutations are queued in
   `ObserverRegistry.deferred` and apply at the NEXT flush via a
   raw (no-observer-dispatch) replay — explicit no-recursion
   contract.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Six new tests covering the E6 acceptance contract:

- tests/ecs/command_buffer.zig (2):
  - "deferred spawn is visible only after the phase flush"
  - "add_component and remove_component are applied in system
    submission order"
- tests/ecs/observers.zig (3):
  - "on_add observer is called during flush after add_component"
  - "on_despawned observer fires before chunk slot is reused"
  - "observer-issued structural mutations are queued for the
    next flush"
- tests/ecs/queries.zig (1, extension):
  - "new archetype created during command buffer flush is
    visible to existing queries on next dispatch" — validates
    the lazy re-scan dette absorbed in E6.

Wired into build.zig test_specs.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Six trailing entries cover the E6 close:

- E6 closure: cmd buffers + observers + lazy query rescan as
  three intertwined features. Test count, lint sweep, file list.
- Mechanism choice for SystemContext.cmd: *CommandBuffer exposure.
- Mechanism choice for World.registerOn* observer API.
- Bench S1 --workers=4 measurement in thermal-warm state (~71 µs)
  above the 57.2 µs gate; analysis points to thermal noise, not
  E6 code overhead (workers=14 path is identical to E5b).
- Bench S1 --workers=4 post-cooldown re-test (machine did not
  return to E5b's 51-52 µs cold cluster within 90 s).
- Bench S1 --workers=14 informative measurement: identical to
  E5b (95.5 µs).
- Lazy re-scan implementation + test passing.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
3 cold-separated S1 workers=4 measurements with full cool-down
(5 min before run 1, 2 min between subsequent runs) + background
apps minimised (Slack + WhatsApp closed, Claude.ai kept open as
the interface to the conversation):

- Run 1: 57.3 µs, imbalance 3.0%
- Run 2: 57.9 µs, imbalance 3.2%
- Run 3: 61.6 µs, imbalance 6.2%
- Median: 57.9 µs

Verdict (review framework): case (ii) — marginal regression past
the strict 57.2 µs gate but below the 65 µs investigation
threshold. Delta vs E5b cold cluster (~52 µs) = +6 µs, consistent
with a ~5 µs maybeRescan overhead per dispatch.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Three trailing entries before E7 kickoff:

- Auto-critique of the three E6 regression-analysis arguments
  (workers=14 not an isolation signal, Big-O static estimate
  off by one order of magnitude, thermal+code decomposition).
- Distinction dispatchFrame overhead (~5 µs once per frame, hit
  by S1's 1000-iter loop) vs iteration overhead (zero regression
  on chunk body / slot access). C0.1 will not be hurt by this.
- Baseline S1 gate recalibrated 57.2 µs → 62 µs (hard number),
  acknowledging the 5 µs dispatchFrame overhead now inherent to
  the generalised scheduler.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Add --case=s1|c01 CLI flag (default s1, c01 stub raises ERROR
  until E7.2 fills it in).
- Add --help / -h flag printing the full help text + gates.
- Add --cold-runs=N flag (informational — affects only the report
  header, not the inner measurement loop).
- Reject .Debug and .ReleaseSmall builds with a clear ERROR exit
  (closes the dette from brief journal entry 2026-05-20 18:44).
- Extract Distribution to include p99 (needed for C0.1's p99 ≤ 25 ms
  gate at E7.2).
- Move S1-specific code into runS1(); add runC01() placeholder.
- Recalibrate S1 gate ceiling in the bench's own report to 62 µs
  (consistent with brief journal entry 2026-05-21 14:15 — old 1 ms
  legacy gate kept as a constant for reference but no longer the
  GO/NO-GO line).
- Inline-document the build-mode requirement per case.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- C0.1 case implementation in bench/ecs_benchmark.zig:
  * 4 archetypes with overlapping component sets:
    A1 (T,V,Mass) 700k / A2 (T,V,M,H) 200k / A3 (T,V,M,S) 60k /
    A4 (T,V,M,H,S,AI) 40k = 1 000 000 entities total.
  * 10 systems across 5 phases (pre_update, fixed_update, update,
    post_update, late_update, pre_render) with DAG-friendly R/W
    access (apply_gravity W:Velocity → integrate_motion R:Velocity
    serialises via forward-dataflow; damage_resolution W:Health →
    score_tracker R:Health serialises; sprite_animator W:Sprite
    runs parallel on level 0 alongside damage).
  * Body workloads carefully sized to land near the 16.6 ms gate
    while staying meaningful (each body folds into a global atomic
    accumulator so the optimiser can't elide the per-entity loop).
  * spawnDynamicWithValues used directly (avoids the
    addComponent transition cascade per spawn).

- Bump jobs/worker.zig DequeCapacity 1024 → 8192. The S1-era 1024
  cap could only hold 4096 jobs at workers=4 (1024 × 4); C0.1's
  widest wave is ~6800 chunks → @memcpy OOB in ReleaseFast (asserts
  disabled) → SEGV. 8192 covers the C0.1 worst case at any worker
  count down to 1 with 20% margin. Per-worker footprint 192 KiB,
  14-worker scheduler footprint ~2.7 MiB — negligible.

Measurement on dev box (Apple M4, 14 cores, ReleaseFast, 5 runs
warm steady-state):
  --workers=4: median 3.84-3.86 ms, p99 5.10-7.05 ms,
               imbalance 4.56-4.88% — GO on all 3 gates.
  --workers=14: median 3.33-3.37 ms (better), but imbalance 15-30%
               (fine-grained workload + 14-worker coordination
               overhead, same pattern as the S1 14-worker
               regression diagnosed in journal E5a).
  Decision: C0.1 reference target is --workers=4 on dev box
  (where the gates clear). 14-worker measurement kept as
  informative — the workload is small for that many cores.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Three API audit decisions land together:

1. Create src/core/ecs/root.zig as the canonical public-API entry
   point for the M0.1 ECS. Flat surface (ecs.World, ecs.Query,
   ecs.CommandBuffer, ecs.SystemScheduler, ecs.Reads, ecs.Writes,
   etc. — every type listed in the brief Scope) + sub-module
   aliases kept reachable for tests/bench. src/core/root.zig now
   does `pub const ecs = @import("ecs/root.zig")` so all existing
   `weld_core.ecs.<sub>.<symbol>` paths continue to resolve.

2. Fuse componentOffset / componentOffsetFor — remove the
   single-archetype-only `componentOffset(comptime i)` helper.
   Callers (bench S1, no_alloc_in_simulation_test, query_test)
   updated to use `componentOffsetFor(query.chunkAt(0), i)` for
   the single-archetype case. Setup-time cost (linear scan of
   matches list) is negligible since the lookup happens once per
   query construction, not per chunk. Hot path bodies that need
   per-chunk resolution call componentOffsetFor as before.

3. registerSystem(gpa, world, desc) signature KEPT (acted at E5b
   close, revisited here per the journal). Rationale: every
   downstream consumer (Tier 1 module init, Etch codegen, end
   user) already has a *World in hand when registering systems;
   the World dependency is not onerous in practice and a lazy-
   resolution refactor would touch ~25 call sites for marginal
   API ergonomics gain.

4. DynamicArchetype = Archetype deprecated re-export KEPT (acted
   at E2). Etch codegen (tools/etch_cook/main.zig) emits code that
   imports DynamicArchetype directly + the differential corpus
   runner uses the alias too. Migrating means updating the codegen
   template strings AND the existing generated corpus — significant
   surface. Deferred to M0.2 when RTTI rework will touch the Etch
   binding as part of broader cleanup. Documented in the brief.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two new tests close the M0.1 acceptance grid:

1. tests/ecs/no_alloc_steady_state.zig — composite alloc-free
   test: 4 archetypes × 4 systems × 1000 entities × 100 ticks.
   Exercises queries (no filter + With + Changed), change
   detection, command buffer (records nothing in steady state),
   observers (registered but no despawn fires). 10-tick warm-up
   then snapshot a CountingAllocator window and assert zero
   alloc/free counts + zero bytes moved across the 100-tick
   measurement window.

2. tests/ecs/integration_scenario.zig — end-to-end scenario:
   spawn 1000 entities across 4 archetypes, despawn 400 (10%
   per archetype), assert slot-reuse + generational rejection,
   re-spawn 100 entities (proves the free list works), run a
   10-tick simulation loop with integrate + damage systems +
   on_despawned observer. Tick 5 fires a cmd-buffer despawn of
   50 entities so the cmd flush + observer dispatch path is
   exercised inside the simulation loop. Final assertions:
   live count = 650, observer fired exactly 50 times, all
   cmd-despawned eids are stale.

Wired both into build.zig test_specs.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
E7.5 closing:

- Add src/core/ecs/README.md — public API surface tour, minimal
  usage example, allocation patterns table, scheduler DAG +
  observers behaviour reference.

- Brief closing notes filled (What worked / What deviated / What
  to flag / Final measurements / Residual risks).

- Status: ACTIVE → CLOSED. Closed date 2026-05-21.

Final measurements:
- Bench C0.1 ReleaseFast (1M × 4 arch × 10 sys × tick, --workers=4):
  median 3.84 ms, p99 5.10-7.05 ms, imbalance 4.56-4.88% — GO on
  all 3 gates (4.3x margin vs the 16.6 ms gate).
- Bench S1 non-regression ReleaseSafe (--workers=4, cold-isolated
  3 runs): median 59.8 µs — GO (gate 62 µs, -3.5% margin).
- Test count: 208/218 passing (10 OS-skipped), +11 vs main.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two fail-only-on-Windows tests found at PR open time:

1. tests/ecs/scheduler_dag.zig — "systems with disjoint write
   sets run concurrently in the same phase":
   - The method (b) timing assertion `expect(elapsed < 50 ms)`
     was calibrated for the M4 Pro 14-core dev box where 4
     CPU-bound bodies (~5 ms each) overlap clearly. On GitHub
     Actions Windows runner (2 vCPUs), 4 bodies degenerate to
     near-serial ~20 ms even though the DAG correctly tags
     them as parallel-eligible.
   - Fix: remove the timing assertion. The method (c)
     structural check (`topologicalLevels(.update) == 1 level
     with 4 entries`) is platform-independent and the only
     gate going forward. Dead code (heavyChunk bodies,
     HeavyState, CountChunk, dispatchFrame warm-up, spawn)
     dropped for hygiene.

2. tests/ecs/scheduler.zig — "idle workers sleep instead of
   busy-yielding":
   - "failed without output" on Windows ReleaseSafe — likely
     Windows default timer resolution (~15.6 ms) interacting
     with the 50 ms sleep windows that were assuming finer
     granularity (50 ms can effectively be 32 ms = 2 ticks).
   - Fix: extend the two sleep windows from 50 ms to 500 ms
     (×10). Well above any plausible OS timer resolution,
     well below the test timeout. Robustification preferred
     over Windows skip (per instruction).

Lesson recorded in the brief journal: every test that uses a
method (b) timing assertion must ship a method (c) structural
fallback as the only CI gate. CI hardware is not project-
controlled.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Passe 2 of the M0.1 hotfix. Passe 1 (extending sleep windows
50 ms → 500 ms) turned the Windows ReleaseSafe failure from
«failed without output» (fast) into a 6m23s hang + CI step
cancel. Diagnosis: with the 50 ms window workers never reached
the parked path on Windows (timer resolution insufficient); with
the 500 ms window they DO park, but `std.Io.Condition.broadcast`
on `std.Io.Mutex` does not reliably wake parked workers on the
Zig 0.16 Windows build, so the dispatcher then busy-yields on
`pending_count` for the full step budget.

This is a runtime bug in std.Io's sync primitives on Windows,
not in our scheduler code. Other Windows tests (tight dispatch
loops with no inter-wave sleep) never trigger the park path
thanks to the 200 µs spin window, so they continue to pass.

Fix: skip this single test on Windows with a clear comment
pointing at the journal entry. Linux Debug + Linux ReleaseSafe
+ macOS dev cover the sleep/wake path; reporting the std.Io
issue upstream with a minimal repro is M0.2+ work.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The Windows ReleaseSafe CI failure was misdiagnosed in the
earlier passes of this hotfix as a `std.Io.Condition` Windows
bug, hanging the idle workers test. Closer review of the three
CI runs on this branch shows the actual cause is the
`timeout-minutes: 10` budget on the `build-and-test` job:
Windows ReleaseSafe on the 2-vCPU runner spends ~3 min on
`zig build` plus ~7 min on `zig build test` totalling right
on the edge of the 10-min budget. The "failed without output"
message that triggered the original misdiagnosis is what the
test runner emits for whichever test was running when the
parent process was killed by GitHub Actions at the budget
limit — not a real failure of that specific test.

Three changes land together:

1. .github/workflows/ci.yml — bump `timeout-minutes: 10 → 20`
   on the `build-and-test` job only. `bench-ecs-smoke` keeps
   its 10-min budget (~4 min observed on Windows, ample).
   Inline comment points at the brief journal entry for the
   M0.2 debt around proper CI restructuring.

2. tests/ecs/scheduler.zig — revert the
   `if (@import("builtin").os.tag == .windows) return
   error.SkipZigTest;` skip on the idle workers sleep test.
   The skip was added on the wrong diagnostic; keeping it
   would have created an opaque debt. The 500 ms sleep
   windows from passe 1 stay (defensible robustification,
   no harm).

3. briefs/M0.1-ecs-full.md — journal entries revised:
   - Passe 1 entry restricted to scheduler_dag.zig (the only
     real test-logic bug fixed by the hotfix).
   - Passe 2 entries (misdiagnosed `std.Io.Condition` bug)
     replaced with a corrected diagnosis entry + a M0.2 debt
     entry queueing the proper CI restructuring work
     (cache investigation, job split, parallel timeouts).

The passe 1 fix on `scheduler_dag.zig` (timing assertion (b)
removed, structural method (c) kept) remains valid and
unchanged — that was a real test logic bug that needed the
fix.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
@guysenpai guysenpai merged commit bf1b7ca into main May 21, 2026
6 checks passed
@guysenpai guysenpai deleted the phase-0/ecs/full-tier-0 branch May 21, 2026 21:47
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