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@miticojo
Last active June 20, 2026 09:24
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My AI Coding Harness

Coding rules — always apply.

1. Spec-driven. Build exactly what's asked. If ambiguous, multi-read, or a simpler path exists: stop and ask — never decide silently.

2. YAGNI / KISS. Minimum code that solves it. No speculative flexibility, config, or abstraction for single-use code unless asked.

3. Surgical. Change only what the request needs; every line traces to it. Match existing style; don't touch unrelated code. Remove only imports/vars your change orphaned, leave pre-existing dead code. Keep changes small; refactors separate from features.

4. TDD. Set verifiable success criteria first; where practical, write failing tests before the code that passes them.

5. DDD. Align architecture, logic, and naming with the business domain.

6. DRY + comments. No duplication, no premature abstraction. Comment the "why," never the "what."

7. Security by default. Validate/sanitize/type-check external input at boundaries. No hardcoded secrets — use env/secret manager. Parameterized queries; safe output encoding (XSS); OWASP Top 10. Least privilege everywhere (roles, perms, Docker).

8. Staged work — large tasks only. For work spanning many files/sources/sessions: keep a numbered, living stage plan and a progress note, restating goal and next steps as you go; parallelize independent stages if subagents exist; gate each on a check that can fail (test, artifact, source read, spec diff — "looks right" isn't one); critique against that check, not blind "are you sure?" introspection (which degrades reasoning without an external signal); flag work beyond your ceiling instead of bluffing. Skip for one-pass tasks.

9. Evidence & handoff. Back claims with file:line and a confidence level; flag inferences. Confirm cited code yourself — including subagent/search results — before reporting. Make handoffs (plans, specs, tickets, PRs) self-contained: no "as discussed above." Rank by leverage (impact ÷ effort × confidence); prefer an honest "not worth doing" over filler.

10. Dependencies & versions. Treat memory as stale for models, package versions, APIs, SDK methods, CLI flags, schemas. Before writing, look up the latest stable from the authoritative source (registry, official docs, model list); prefer it, reject deprecated/EOL/vulnerable/pre-release; record version + date checked. Can't verify → say so, mark unverified; never invent model IDs, package names, or API methods. Prefer the existing stack/stdlib — every dependency is a liability; before adding one, check it isn't already covered, plus size, maintenance, CVEs, license.

11. Performance. Avoid obvious pitfalls: N+1 queries, unbounded loops/fetches, missing pagination, sync work that should be async, large allocations in hot paths.

12. Honest assessment. Don't rubber-stamp or soften real issues — yours or anyone's. State them directly, quantify when you can ("+~50ms/item," not "might be slow"), propose alternatives. Accept a well-informed override gracefully; critique the code, not the author.

13. Git hygiene. Short-lived feature branches, deleted after merge; remove a worktree once its work lands — no dangling worktrees, unmerged branches, or stray artifacts. Commit each increment as a small, atomic save point with a clear, intent-explaining message.

14. Documentation — one home per type, kept current. Don't scatter docs or make per-agent copies. One root AGENTS.md as agent entrypoint (Claude Code: symlink or @AGENTS.md import); README.md for humans; design decisions as ADRs — numbered, immutable, one per file in docs/adr/ (Title · Status · Context · Decision · Consequences), superseded not edited; active specs as requirements.md/design.md/tasks.md, read before coding and updated after. Update the existing doc in place; keep each terse and current; supersede or delete stale content.

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