🐙 Coding Tentacle v0.9.0

Safety-first guardian layer that controls LLM code-fixing agents.
OpenCode writes fixes. CT analyzes, reviews, blocks danger, requires human approval, and learns from every run.

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Why Coding Tentacle?

OpenCode, Codex, and Claude Code are brilliant at generating code. But they have zero safety guarantees. They can output DROP TABLE, eval(user_input), or rm -rf / — and nothing stops them.

Coding Tentacle sits in front of any LLM fix engine and acts as a guardian.

🛡️ Safety VETO	Blocks dangerous patterns (SQL injection, eval, shell commands) — before execution. Base64 and HTML-encoded payloads are decoded and caught.
🔍 SkepticBrain	Adversarial review of every fix. "Why could this be wrong?" Risk score, objections, recommendation.
🧠 Self-Learning	BLM stores every bug experience. EngineLearning calibrates trust per engine + bug type. Later runs get better context.
🔗 Engine Router	Routes bugs to the best engine. OpenCode primary. Ollama fallback. Codex (API key needed). Bug-type-specific trust routing.
👤 Human Approval	Every fix requires human APPROVE/REJECT/REQUEST_CHANGES. Safety VETO can NEVER be overridden — even by humans.
📊 Impact Analysis	Predicts which files, tests, skills, and procedures are affected by a change. Risk score before approval.

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Architecture

                    ┌─────────────────────────┐
                    │    Coding Tentacle       │
                    │    ┌───────────────────┐ │
  Bug Report ──────►│    │  Safety VETO 🛡️   │ │
                    │    │  SkepticBrain 🔍  │ │
                    │    │  Engine Router 🔗  │ │
                    │    │  Trust Calibration │ │
                    │    │  Learning Loop 🧠  │ │
                    │    └───────┬───────────┘ │
                    │            │             │
                    │    APPROVE / REJECT      │
                    │    / REQUEST_CHANGES     │
                    └────────────┬────────────┘
                                 │
                    ┌────────────▼────────────┐
                    │   Fix Engines            │
                    │   ┌──────┐ ┌──────────┐ │
                    │   │OpenCode│ │ Ollama  │ │
                    │   └──────┘ └──────────┘ │
                    └─────────────────────────┘

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Quick Start

git clone https://github.com/nessos666/coding-tentacle.git
cd coding-tentacle

# Verify everything works
python3 scripts/full_regression.py
# → ✅ RC2 ALL TESTS PASSED

# Analyze a bug with full pipeline
python3 -c "
from coding_tentacle.orchestrator.shadow_mode import ShadowModeRunner, GitHubIssueRun
from coding_tentacle.orchestrator.metabrain import MetaBrain, SafetyBrain
from coding_tentacle.safety.inhibitory_control import InhibitoryControl
from coding_tentacle.knowledge.security_store import create_seed_security_store
from coding_tentacle.orchestrator.engine_router import EngineRouter
from coding_tentacle.orchestrator.skeptic_brain import SkepticBrain
from coding_tentacle.safety.approval_gate import ApprovalGate

sec = create_seed_security_store()
ic = InhibitoryControl(security_store=sec)
safety = SafetyBrain(ic=ic, security_store=sec)
mb = MetaBrain(safety=safety)
er = EngineRouter(); er.check_health()
sb = SkepticBrain(); ag = ApprovalGate()

runner = ShadowModeRunner(meta_brain=mb, engine_router=er,
                          approval_gate=ag, skeptic_brain=sb,
                          safety_brain=safety)

r = runner.analyze_issue(GitHubIssueRun(
    'https://github.com/user/repo', '#1',
    'NullPointer in views.py',
    'NoneType has no attribute at line 42'))

print(f'Bug Type: {r.detected_bug_type}')
print(f'Engine:   {r.engine_used}')
print(f'Safety:   {\"BLOCKED\" if r.safety_events else \"OK\"}')
print(f'Skeptic:  risk={r.skeptic_risk:.2f} {r.skeptic_recommendation}')
print(f'Approval: {r.approval_status}')
print(f'BLM:      {\"Learned\" if r.blm_written else \"Error: \" + r.blm_error}')
"

Kombinationen

CT mit	Ergebnis
CT + OpenCode	✅ Empfohlen. OpenCode (deepseek-v4-pro) erzeugt Fix. CT prüft + lernt.
CT + Claude Code	✅ Top-tier. Claude Code (2.1.86) — alternativ zu OpenCode.
CT + Ollama	🔵 Fallback. granite3.2-vision lokal. Langsamer, offline-fähig.
CT + Codex	⚠️ Braucht OpenAI API-Key.
CT alleine	❌ Klassifiziert Bugs, erzeugt Template-Fixes (keine echte Reparatur).

Was passiert im Hintergrund?

1. Bug → CT klassifiziert (18 Typen)
2. Safety check: DROP TABLE? eval()? → BLOCK
3. EngineRouter wählt OpenCode/Ollama
4. Engine erzeugt echten Code-Diff
5. CT scannt Diff auf Gefahren (Base64/HTML-decodiert)
6. SkepticBrain: "Warum könnte das falsch sein?"
7. Sandbox testet isoliert (Originale UNVERÄNDERT)
8. HumanApprovalGate: APPROVE/REJECT/REQUEST_CHANGES
9. BLM speichert, EngineLearning kalibriert Vertrauen
10. Nächster Bug bekommt ähnliche Erfahrungen im Prompt

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Pipeline (Shadow Mode)

  GitHub Issue
      │
      ▼
  ┌─────────────┐
  │ Classifier   │  18 bug types, 100% accuracy
  └──────┬──────┘
         ▼
  ┌─────────────┐
  │ SafetyBrain  │  VETO: DROP TABLE, eval(), system() → BLOCKED
  └──────┬──────┘
         ▼
  ┌─────────────┐
  │ EngineRouter │  OpenCode primary, Ollama fallback
  └──────┬──────┘
         ▼
  ┌─────────────┐
  │ Fix Engine   │  Generates real code diff
  └──────┬──────┘
         ▼
  ┌─────────────┐
  │ Safety scan  │  Scans engine output for dangerous patterns
  └──────┬──────┘
         ▼
  ┌─────────────┐
  │ SkepticBrain │  "Why could this fix be WRONG?"
  └──────┬──────┘
         ▼
  ┌─────────────┐
  │ Sandbox      │  Isolated test. Original files NEVER touched.
  └──────┬──────┘
         ▼
  ┌─────────────┐
  │ ApprovalGate │  APPROVE / REJECT / REQUEST_CHANGES
  └──────┬──────┘
         ▼
  ┌─────────────┐
  │ BLM + Trust  │  Store experience + update engine trust
  └─────────────┘

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CT vs The World

Feature	CT	Codex	Devin	Claude Code	OpenHands
Safety VETO	✅	❌	❌	❌	❌
SkepticBrain	✅	❌	❌	❌	❌
Bayesian Trust	✅	❌	❌	❌	❌
Human Approval	✅	⚠️	⚠️	⚠️	❌
Self-Learning	✅	❌	❌	❌	❌
Bug Classification	✅	❌	❌	❌	❌
Engine Router	✅	❌	❌	❌	⚠️
Impact Analysis	✅	❌	❌	❌	❌
Open Source	✅	❌	❌	❌	✅
Cost/Task	$0	$12	$500/mo	$20	$0
SWE-bench	N/A	88.7%	87%	95.5%	65%

CT is not a competitor. CT is the safety layer that controls them.

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What CT Is NOT

• ❌ Not a replacement for Codex, Devin, or Claude Code
• ❌ Not an autonomous bug fixer (requires OpenCode/Ollama for code generation)
• ❌ Not production-ready (Research / Shadow Release)

What CT IS

• ✅ Safety-first guardian that controls LLM fix engines
• ✅ Self-learning bug analysis system
• ✅ The only agent with Safety VETO + SkepticBrain + Bayesian Trust
• ✅ 100% open source, zero API costs

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Requirements

• Python 3.10+
• OpenCode CLI (opencode) — for actual code fixing
• Ollama + granite3.2-vision — for local fallback
• No API keys required

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Community

• Found a bug? Open an issue
• Want to contribute? CONTRIBUTING.md
• Security concern? SECURITY.md

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License

MIT — free, open source, no restrictions.

_{Built by David + Hermes. June 2026. 🦑}