Add research exploration notes (principles, challenges, implementation guidance, skills index, session log) and gap/conflict analysis against the current repo vision and roadmap. Sharpen the roadmap housekeeping item with the grill-me intent, central scope question, and expected output (ADR + updated chunk scope for 2, 3, and 4). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Roadmap
Chunk conventions
Content chunks (2–5) run in two phases, treated as separate sessions:
- Architecture + thin drafts — define the format, schema, and loading model; populate every category with a minimal first draft. Mark speculative entries with
<!-- draft -->so future sessions know what to trust. Architecture decisions must be stable before phase 2. - Focused refinement — work through each category properly, one at a time. Treated as ongoing rather than a hard deadline; refinement is triggered by real friction, not a schedule.
Phase 1 is the planned chunk. Phase 2 is ongoing.
Chunk 6 (tooling) is exempt — it is implementation-driven, not content-driven.
Governance workstream
A parallel workstream (not a numbered chunk) that runs alongside the chunk sequence. Cross-cutting concern — governance rules apply to all chunks.
Phase 1 — instruction and documentation layer ✅ complete (before Chunk 3)
core/instructions/governance.md— agent instruction file loaded via@importat every session startdocs/ai-constitution.md— full evidence base and governance principles (human-facing)docs/HUMANS.md— practitioner checklist (human-facing)CONTEXT.md— extended with governance domain language (HITL, HOTL, sycophancy, data classification tiers, symbolic oversight)docs/VISION.md,CLAUDE.md,docs/ROADMAP.md— updated to reflect governance layer existencetests/test-governance-layer.sh— manual test plan verifying governance rules take effect in a fresh session
Phase 2 — deterministic enforcement layer (Chunk 6)
- Pre-commit hooks, CI gates, secret scanning, licence scanning, audit logging infrastructure, human approval gates in CI/CD
- Specification:
docs/research/governance_principles/CONTROLS.md
Chunk table
| Chunk | Scope | Why this order |
|---|---|---|
| ✅ 1 | Repo skeleton + install.sh — structure in place, Claude Code wired up |
Nothing else can be built without the structure and install working |
| ⏳ 2 | Core instructions — coding.md, git.md (incl. conventional commits), testing.md; communication rules in providers/claude-code/CLAUDE.md always-on section; retire global.md; migrate docs/ to subdirectory-by-type naming |
Instructions are the foundation everything else references; commit convention and doc naming must be in place before history accumulates |
| ⏳ 3 | First skills — initial slash commands for day-to-day use; changelog tooling (follow-on to Chunk 2 conventional commits); catalogue existing skills incl. zoom-out which is installed but undocumented. Infrastructure complete: 12 skills deployed to ~/.agents/skills/ via install.sh; provider adapter pattern in place; remaining scope is content (changelog tooling, zoom-out docs, content index frontmatter) |
Skills are the most immediately useful output; validates the full pipeline |
| 4 | Workflows — formalize the workstream workflow (kick-off types → grill → artifact → issues → implement → QA → commit); feature, bug, architecture, improvement, feedback patterns | Higher-level patterns built on top of a working skills foundation; grill feedback intake design before starting |
| 5 | Agents — role definitions (reviewer, architect, developer) | More abstract definitions; benefits from workflow patterns being established first |
| 6 | Sync + project init tooling — sync.sh and init-project.sh |
Tooling only makes sense once there is content worth syncing and scaffolding |
| 7 | Copilot provider — adapter for GitHub Copilot. Provider adapter pattern established: install.sh auto-discovers providers/*/provider-manifest.sh; Copilot adapter is a new providers/copilot/provider-manifest.sh declaring a symlink if needed |
Second provider comes after the first is fully proven |
Development workflow
Every workstream follows this shape. Pick a kick-off type, grill it, then run the implementation loop per issue.
Kick-off (pick type)
├── Feature → /grill-with-docs → PRD → /to-issues
├── Bug → /grill-with-docs → Bug Brief → /to-issues → /diagnose
├── Architecture → /grill-with-docs → ARD (+ ADR later) → /to-issues
├── Improvement → /grill-with-docs → PRD or ARD → /to-issues
├── Feedback → /triage → PRD or Bug Brief → /to-issues
└── Ideation → /grill-me → Exploration Note → /to-issues (optional)
Per issue
└── /tdd → implement → automated QA → commit (conventional)
Manual QA — only for nuanced UI/UX or agent interaction behavior
/improve-codebase-architecture — ad hoc or at chunk/PR boundaries, not per issue
Ongoing (ad hoc, within any workstream)
├── /diagnose (unexpected breakage)
├── /prototype (design uncertainty)
└── /zoom-out (orientation)
Finalize (per workstream)
└── update docs → commit
This workflow is defined at convention level in Chunk 2. Chunk 4 formalizes it as a composable skill/workflow.
Open questions / deferred decisions
Items consciously not resolved — to be addressed in the relevant chunk PRD or grill.
| Question | Deferred to |
|---|---|
| How project-level overrides are structured and what they can override | Chunk 6 PRD |
install.sh embeds source→target mappings implicitly; sync.sh will need the same mapping. |
✅ Resolved in Chunk 2 architecture review — extracted to scripts/deploy-manifest.sh; sync.sh sources the same file in Chunk 6 |
| Feedback intake workflow — where does feedback arrive (GitHub issues, Slack, email)? | Grill before Chunk 4 (workflows) |
| QA agent design — what does automated agent testing look like in practice? | Grill before Chunk 5 (agents) |
| Automated deployment pipeline — CI/CD beyond gitops convention | Chunk 6 grill |
Formal CI gate for /improve-codebase-architecture |
Chunk 6 grill |
| Changelog tooling — which generator (git-cliff, conventional-changelog, etc.) and where it runs | Chunk 3 grill |
Content index frontmatter — replace inline when: hints in CLAUDE.md content index with a when: field in each instruction/skill file so the agent discovers load conditions from the file itself. Cover before implementing Chunk 3 skills. |
Chunk 3 grill |
| Agent behavior confirmation model — writes/edits/git currently require stating intent + approval before acting. Loosen to autonomy-first once skills and workflows are proven and automated agents replace direct interaction. | Phase 2 refinement (post Chunk 4) |
✅ Resolved — Governance workstream Phase 1. core/instructions/governance.md loaded via @import covers hard prohibitions, data classification, HITL, sycophancy resistance, and deterministic execution preference. Instruction quality principle documented in CONTEXT.md. |
Housekeeping reminders
-
AI coding factory research —
docs/research/ai-coding-factory/contains exploration notes (principles, challenges, implementation guidance, skills index, session log). Gap and conflict analysis complete:docs/notes/factory-research-gaps-conflicts.md. Next step:/grill-mesession with that note as input. Central question to resolve first: what is the boundary between this global config repo and the factory pattern — which factory features belong here, which belong in project repos? Once that's settled, the dependent decisions follow (skill taxonomy, LESSONS.md, convention placement). Output: decision record → ADR + updated chunk scope for 2, 3, and 4. -
.gitkeepfiles — placeholder files exist incore/agents/,core/workflows/,core/prompts/,docs/ard/,docs/bug/,docs/notes/. Remove each when the first real file is added to that directory. Each.gitkeepnames the chunk that will populate it. -
Skills pipeline verified —
install.shdeploys 12 skills to~/.agents/skills/and creates~/.claude/skills/ → ~/.agents/skills/symlink adapter. Tested idempotent.skills-lock.jsonremoved (was a manual artifact). If~/.claude/skills/exists as a real directory on a machine being migrated, remove it manually and re-run install. -
Chunk 2 behavioral tests — 8 manual scenarios in
tests/test-instructions-and-docs.sh(MANUAL TEST PLAN section) are pending verification. Must run in a fresh Claude session before Chunk 2 is fully verified. See instruction quality finding inCONTEXT.mdfor why these cannot be skipped. -
Governance Phase 1 behavioral tests — manual test plan in
tests/test-governance-layer.sh(MANUAL TEST PLAN section) is pending verification. Must run in a fresh Claude session before marking governance Phase 1 fully verified. -
AI ethics/security workstream —
docs/notes/ai-ethics-security-principles.mdexploration note is superseded. Governance Phase 1 (core/instructions/governance.md) covers all planned scope: credentials, data classification, HITL, scope discipline, agent autonomy, transparency, and security code review. Tier-placement architectural question resolved by the@importalways-on model. No separate workstream needed.