e3d39c09e6
Phase 4: Semantic Intelligence & Scale
- 3 plans in 2 waves
- Wave 1: 04-01 SQLite graph layer (sql.js WASM)
- Wave 2: 04-02 Rich summary generation, 04-03 Semantic entity generation
Key additions:
- sql.js for zero-native-deps graph database
- @anthropic-ai/sdk for Claude API entity generation
- Recursive CTEs for dependency queries ("what uses X")
- Graph-backed summaries with hotspots
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
81 lines
2.7 KiB
Markdown
81 lines
2.7 KiB
Markdown
# Roadmap: v1.9.0 Codebase Intelligence System
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**Goal:** Make GSD feel intelligent and automagical in how it navigates and understands both greenfield and brownfield projects.
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**Phases:** 4 (3 complete, 1 remaining)
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---
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## Current Milestone: v1.9.0
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### Phase 1: Foundation & Learning ✓
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**Goal:** Establish index schema and incremental learning via PostToolUse hook
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**Status:** Complete
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**Plans:** 2/2
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### Phase 2: Context Injection ✓
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**Goal:** Inject codebase awareness into every session via SessionStart hook
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**Status:** Complete
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**Plans:** 2/2
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### Phase 3: Brownfield & Integration ✓
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**Goal:** Deep analysis command for existing codebases, workflow integration
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**Status:** Complete
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**Plans:** 3/3
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### Phase 4: Semantic Intelligence & Scale
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**Goal:** Transform syntax-only indexing into semantic understanding with graph-based relationships
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**Depends on:** Phase 3
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**Plans:** 3 plans
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Plans:
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- [ ] 04-01-PLAN.md — SQLite graph layer with sql.js (Wave 1)
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- [ ] 04-02-PLAN.md — Graph-backed rich summary generation (Wave 2)
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- [ ] 04-03-PLAN.md — Semantic entity generation via Claude API (Wave 2)
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**Wave Structure:**
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- Wave 1: 04-01 (SQLite foundation)
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- Wave 2: 04-02, 04-03 (parallel - both depend only on 04-01)
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**Why this phase:**
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- Current system provides "2-3 ls commands worth of information" (Claude's own assessment)
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- Missing: what files actually DO, who uses them, blast radius of changes
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- Senior engineers at top companies need real intelligence, not file counts
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**Delivers:**
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- SQLite graph layer (sql.js - zero native deps) for relationship queries
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- Entity-based semantic documentation (Claude writes understanding, not just syntax)
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- Semantic `/gsd:analyze-codebase` that creates initial entities
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- Rich summary generation from accumulated semantic knowledge
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**Requirements:**
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- INTEL-04: Entity files capture semantic understanding (purpose, what exports do)
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- INTEL-05: Relationships queryable ("what uses this file?", "blast radius")
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- INTEL-06: `/gsd:analyze-codebase` creates initial entity docs via Claude
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- INTEL-07: Summary reflects accumulated semantic knowledge
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**Success Criteria:**
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1. Claude can answer "what uses src/lib/db.ts?" from SessionStart context
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2. Summary includes file purposes, not just file counts
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3. Transitive dependency queries work (blast radius)
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4. Works at scale (500+ file codebases)
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---
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## Traceability
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| Requirement | Phase | Status |
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|-------------|-------|--------|
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| INTEL-01 | Phase 1 | ✓ Complete |
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| INTEL-02 | Phase 2 | ✓ Complete |
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| INTEL-03 | Phase 3 | ✓ Complete |
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| INTEL-04 | Phase 4 | Pending |
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| INTEL-05 | Phase 4 | Pending |
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| INTEL-06 | Phase 4 | Pending |
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| INTEL-07 | Phase 4 | Pending |
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---
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*Created: 2026-01-19*
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*Updated: 2026-01-20 — Phase 4 planned (3 plans in 2 waves)*
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