Research Engineering Field Notes

Practical notes on research engineering, scientific software, reproducibility, and AI-assisted technical work.

This repository grew out of a small collection of MATLAB utilities for psychology and behavioral-research workflows. The original material is preserved under legacy-matlab-tools/. New material focuses on reusable engineering lessons learned from real research and software work, rewritten so that it stands on its own without exposing private project details.

Current sections

• agentic-engineering/ — reviewing and governing AI-assisted implementation work.
• research-engineering/ — reproducibility, model-fitting, evidence, and scientific-software practice.
• legacy-matlab-tools/ — the original MATLAB scripts and demos kept for continuity.
• PUBLICATION_POLICY.md — privacy and provenance gate for all public notes.

Working principles

These notes favor methods that can be checked over claims that merely sound convincing. In particular:

• bind reviews to an exact revision;
• review evidence, not confidence;
• separate implementation success from scientific validity;
• distinguish PASS, FAIL, and UNVERIFIED;
• keep scope changes explicit;
• preserve provenance where it matters;
• publish only project-agnostic lessons.

The repository is intentionally incremental. Notes are added when a recurring lesson is useful enough to keep, not to satisfy a posting schedule.

License

See LICENSE. Legacy material retains its existing history and attribution context.