File Reference
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Appendix B: File Reference

Appendix

Every file Draft generates, organized by directory. For each file: name, purpose, typical size, audience, and lifecycle.

draft/ architecture.md .ai-context.md .ai-profile.md product.md tech-stack.md workflow.md guardrails.md .state/ freshness.json signals.json run-memory.json tracks/<name>/ spec.md plan.md metadata.json review-report.md Context (AI-facing) Config (human-editable) State (internal) Track (per-feature)
The draft/ directory structure, color-coded by file type: AI-facing context files, human-editable config, internal state tracking, and per-feature track files.

draft/ (Root)

File Purpose Size Audience Created Updated
architecture.md Graph-primary high-signal reference. Source of truth for project architecture. Graph Health Dashboard + 9 focused sections with fidelity declarations, provenance on claims, coverage gaps, and relationship to other docs. 1000-3000 lines Human & AI /draft:init /draft:init refresh, /draft:decompose
.ai-context.md Token-optimized AI context derived from architecture.md via Condensation Subroutine. Self-contained with 15+ mandatory sections: architecture, invariants, interface contracts, data flows, concurrency rules, error handling, implementation catalogs, testing strategy, glossary. 200-400 lines AI /draft:init Auto-refreshed when architecture.md changes
.ai-profile.md Ultra-compact always-injected project profile. Contains: language, framework, database, auth, API style, critical invariants, safety rules, active tracks, recent changes. 20-50 lines AI /draft:init Auto-refreshed on mutations
product.md Product vision, target users, success criteria, and guidelines. Defines what the product does and for whom. 50-150 lines Human & AI /draft:init Manual edits, /draft:init refresh
tech-stack.md Technology choices: languages, frameworks, databases, key dependencies, and accepted patterns. 30-100 lines Human & AI /draft:init Manual edits, /draft:adr (when tech changes)
workflow.md TDD preferences, commit conventions, review process, Jira project key. 20-60 lines Human & AI /draft:init Manual edits, /draft:jira create (adds Jira config)
guardrails.md Hard guardrails, learned conventions, and learned anti-patterns. Entries include dual-layer timestamps for temporal reasoning (discovered_at, established_at, last_verified, last_active). 30-200 lines AI /draft:init /draft:learn
tracks.md Registry of all tracks with their status, type, and phase progress. 10-100 lines Human & AI /draft:new-track /draft:new-track, /draft:implement, /draft:revert

draft/.state/

Internal state files for incremental refresh, signal classification, and cross-session continuity. Not intended for direct editing.

File Purpose Size Audience Created Updated
freshness.json SHA fingerprints of source files. Used to detect changes since last /draft:init run, enabling incremental refresh instead of full re-analysis. 1-5 KB AI (internal) /draft:init /draft:init refresh
signals.json Detected signal categories from codebase analysis. Classifies what types of patterns, frameworks, and conventions are present. 1-5 KB AI (internal) /draft:init /draft:init refresh
run-memory.json Cross-session continuity data. Records what happened in previous sessions to enable context persistence across agent invocations. 1-10 KB AI (internal) First agent invocation Each session
facts.json Atomic architectural facts with temporal metadata, source references, confidence scores, and relationship edges. Enables fact-level contradiction detection during refresh. 1-20 KB AI (internal) /draft:init /draft:init refresh

draft/tracks/<track-name>/

Each track (feature, fix, or refactor) gets its own directory with these files:

File Purpose Size Audience Created Updated
spec.md Requirements and acceptance criteria for this track. Defines what "done" looks like. Includes functional requirements, edge cases, error scenarios, and explicit non-goals. 50-200 lines Human & AI /draft:new-track /draft:change, manual edits
plan.md Phased implementation plan with ordered tasks, verification steps, and status markers ([ ] Pending, [~] In Progress, [x] Completed, [!] Blocked). Each phase has a goal and verification criteria. 50-300 lines Human & AI /draft:new-track /draft:implement, /draft:change, /draft:decompose, /draft:revert
metadata.json Track metadata: type (feature/bugfix/refactor), priority, timestamps (created, started, completed), branch name, phase and task counts, progress counters. 0.5-2 KB AI /draft:new-track /draft:implement (after each task), /draft:decompose

Optional Track Files

These files are created by specific commands when run against a track:

File Purpose Created By
architecture.md Track-scoped module decomposition with dependency mapping and implementation order /draft:decompose
review-report-<timestamp>.md Three-stage review findings (validation, spec compliance, code quality) /draft:review
bughunt-report-<timestamp>.md 14-dimension bug discovery results with evidence and fix recommendations /draft:bughunt
jira-export-<timestamp>.md Jira issue definitions (epic, stories, sub-tasks, bugs) for review and creation /draft:jira preview
jira-export-latest.md Symlink to the most recent Jira export file /draft:jira preview
review-report-latest.md Symlink to the most recent review report /draft:review
bughunt-report-latest.md Symlink to the most recent bughunt report /draft:bughunt
validation-report.md Track validation results when validation is enabled /draft:implement

draft/adrs/

File Purpose Created By
<NNN>-<kebab-case-title>.md Architecture Decision Record capturing context, decision, alternatives, and consequences. Numbered sequentially (001, 002, ...). Lifecycle: Proposed → Accepted → Deprecated/Superseded. /draft:adr

Monorepo Root Files (from /draft:index)

Generated at the monorepo root level when /draft:index aggregates service contexts:

File Purpose
draft/service-index.md Directory of all detected services with status, tech stack, dependencies, and team ownership
draft/dependency-graph.md Inter-service dependency mapping with Mermaid topology and topological ordering
draft/tech-matrix.md Technology distribution across services with organizational standards and variances
draft/config.yaml Index configuration: service detection patterns, exclusions, re-index triggers
draft/bughunt-summary.md Aggregate bughunt results across services (created by /draft:index bughunt)
<service>/draft/manifest.json Per-service metadata: name, type, summary, primary tech, dependencies, dependents, team, timestamps
Source of Truth Hierarchy

architecture.md is the source of truth. .ai-context.md is derived from it (token-optimized for AI). .ai-profile.md is derived from .ai-context.md (ultra-compact, always loaded). Edits flow downward: update architecture.md, then the derived files are regenerated automatically via the Condensation Subroutine.