Files
holocron/docs/ROADMAP.md

8.9 KiB
Raw Blame History

Roadmap

Chunk conventions

Content chunks (2–5) run in two phases, treated as separate sessions:

  1. 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.
  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 @import at every session start
  • docs/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 existence
  • tests/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
Deployment manifest seam — 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)
CLAUDE.md always-on refinement — security floor (no credentials/auth URLs), scope discipline (no over-engineering), tool preference (Read/Edit over Bash); plus instruction quality: current rules are thin one-liners observed in practice to lose to RLHF-trained defaults (verbose responses, validating user positions); fix is specificity, counter-examples, and boundary framing — not accepting violations as expected. Needs its own grill session → PRD before implementation. ✅ 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

  • .gitkeep files — placeholder files exist in core/agents/, core/workflows/, core/prompts/, docs/ard/, docs/bug/, docs/notes/. Remove each when the first real file is added to that directory. Each .gitkeep names the chunk that will populate it.
  • Skills pipeline verified — install.sh deploys 12 skills to ~/.agents/skills/ and creates ~/.claude/skills/ → ~/.agents/skills/ symlink adapter. Tested idempotent. skills-lock.json removed (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 in CONTEXT.md for 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.md exploration 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 @import always-on model. No separate workstream needed.