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feat: repo-arch local model training pipeline with LoRA adapter
### Summary Trained a LoRA adapter on the full repository history using repo-arch CLI. ### Key Results - 47 commits mined, 18 insight cards generated, 8 curated for training - 61 training examples across: QA, review-warning, risk-classification, negative - LoRA adapter: Qwen/Qwen2.5-Coder-1.5B-Instruct, 1.3M params, 200 iters - Eval: Keyword 93.8%, Embedding 75.0% hit rate - Val loss: 6.439 -> 0.192 (97% reduction) ### Artifacts - repo-arch.config.json - reproducible pipeline config - .repo-arch/review-state.json - curated accepted cards - .repo-arch/training-data/ - train/valid splits (61 examples) - .repo-arch/REPORT.md - full training report with model inference tests - .repo-arch/HOOKS-GUIDE.md - pi agent integration hooks guide ### How to reproduce 1. Install: pip install mlx-lm 2. Train: repo-arch train cycle 3. Infer: mlx_lm.generate --adapter-path .repo-arch/adapters/repo-arch-97d42df
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‎.gitignore‎

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# Worktrees
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.worktrees/
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# Repo-Arch
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.repo-arch/adapters/
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.repo-arch/cache/
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.repo-arch/index/
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# Autoresearch
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.autoresearch/

‎.repo-arch/HOOKS-GUIDE.md‎

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# Repo-Arch Hooks: Integrating the Local Model into Pi Agent Flows
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This guide shows how to use repo-arch's trained model and context packs across common coding workflows.
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---
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## Hook 1: Pre-Edit Risk Assessment
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**When**: Before editing a file, check if this file has historical patterns.
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```typescript
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// In a pi agent tool registration or pre-edit hook:
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import { whyContextPack } from '@fiale-plus/repo-arch/context-pack';
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// Before editing src/tools/screen.ts:
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const riskContext = whyContextPack(
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'src/tools/screen.ts',
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cards.filter(c => c.affectedFiles.includes('src/tools/screen.ts')),
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5, // commit count
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{ fixCount: 2, changesCount: 8 },
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['src/index.ts'] // co-change partners
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);
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// Inject into agent context:
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// "⚠️ High-churn file (8 changes). Co-changes with src/index.ts.
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// Repeated fixes found. Consider regression tests before editing."
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```
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**CLI equivalent**:
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```bash
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repo-arch why src/tools/screen.ts --json
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```
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---
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## Hook 2: Pre-Code-Review Warning
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**When** reviewing a pull request or diff — surface regression risk by cross-referencing changed files against card history.
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```typescript
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import { diffContextPack } from '@fiale-plus/repo-arch/context-pack';
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const diffRisk = diffContextPack(
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'main',
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'feature-branch',
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['src/index.ts', 'src/tools/screen.ts'],
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[
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{ file: 'src/index.ts', severity: 'high', message: '2 repeated fixes, co-change cluster with screen.ts' },
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{ file: 'src/tools/screen.ts', severity: 'medium', message: '8 changes, test gap detected' },
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]
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);
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// Injects: "HIGH RISK: src/index.ts has a history of repeated fixes.
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// MEDIUM: src/tools/screen.ts changed 8 times with no test updates."
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```
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**CLI equivalent**:
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```bash
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repo-arch check-diff --base main --json
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```
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---
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## Hook 3: Session-Start Project Memory
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**When** starting work on this project, load the full card set as structured memory.
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```typescript
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import { cardsContextPack } from '@fiale-plus/repo-arch/context-pack';
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import { generateCards, cachedOrGenerate } from '@fiale-plus/repo-arch';
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// At agent initialization:
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const { cards } = cachedOrGenerate(repoRoot, generateFn);
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const memory = cardsContextPack('tradingview-mcp-server', cards, headSha, false);
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// memory.text == "Repo-Arch Cards for tradingview-mcp-server (47 commits, 18 cards)"
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// Each card includes: type, title, confidence, affectedFiles, and suggestion text.
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```
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---
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## Hook 4: Trained Model Inference via CLI
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**When** you need the trained LoRA model to answer a project-specific question:
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```bash
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# Load the model + adapter and query:
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mlx_lm.generate \
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--model Qwen/Qwen2.5-Coder-1.5B-Instruct \
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--adapter-path .repo-arch/adapters/repo-arch-97d42df \
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--prompt "<|im_start|>user\nWhat keeps breaking in src/index.ts?<|im_end|>\n<|im_start|>assistant\n" \
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--max-tokens 100
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```
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**Example output**: "Repeated fixes in: src/index.ts. This file was fixed 2 times."
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---
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## Hook 5: Automated Card-Based Guardrails
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**When** an action would touch a file with known patterns.
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```bash
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# Semantic search for similar problems
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repo-arch similar "token-only auth middleware vulnerability" --json
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# → Returns: past cards about auth, middleware, security patterns
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# Staleness check before refactoring
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repo-arch check-stale --json
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# → Detects: cards pointing to files that were moved or deleted
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# File explanation for onboarding
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repo-arch why src/api/client.ts --json
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# → Returns: fix count, co-change partners, signal breakdown
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```
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---
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## Hook 6: Continuous Training Loop
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When new git history accumulates, continue the training loop:
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```bash
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# After N more commits:
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repo-arch flow run --repo .
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# → Re-mines history, regenerates cards with new data
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repo-arch train resume --repo .
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# → Resumes from latest adapter checkpoint, adds more iterations
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# → Model incrementally learns new patterns without catastrophic forgetting
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```
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---
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## Integration Architecture Diagram
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```
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Git History ──→ repo-arch flow ──→ Cards ──→ Dataset ──→ LoRA Training
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│ │ │ │
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│ ▼ ▼ ▼
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│ context-pack train.jsonl adapters.safetensors
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│ (pi agent) (61 examples) (1.3M params)
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▼
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repo-arch why/check-diff
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(pre-edit / pre-review hooks)
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```

‎.repo-arch/REPORT.md‎

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# Repo-Arch: Local Model Training Report
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**Project**: tradingview-mcp-server
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**Date**: 2026-05-14
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**Runtime**: 47 commits mined | 18 cards | 61 training examples | 200 LoRA iterations
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---
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## 1. Data Mining Results
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### Git History
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- **47 commits** mined and classified from the full git history
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- Signal types detected: `fix`, `docs`, `test`, `rationale`, `revert`
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- Cached for fast re-runs
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### 18 Insight Cards Generated
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| Card | Type | Confidence | Commits |
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|------|------|------------|---------|
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| src/index.ts | repeated-fix | 0.60 | 2 |
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| src/index.ts ↔ src/tools/screen.ts | co-change | 0.60 | 5 |
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| src/api/types.ts ↔ src/index.ts | co-change | 0.55 | 5 |
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| src/resources/presets.ts | test-gap | 0.52 | 4 |
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| src/index.ts | churn-hotspot | 0.51 | 5 |
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| src/api/types.ts ↔ src/tools/fields.ts | co-change | 0.50 | 4 |
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| src/tools/screen.ts | churn-hotspot | 0.49 | 5 |
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| src/tools/fields.ts | test-gap | 0.49 | 3 |
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| src/tools/screen.ts | test-gap | 0.49 | 3 |
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| package-lock.json | repeated-fix | 0.70 | 3 |
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| README.md | test-gap | 0.70 | 5 |
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| .github/workflows/npm-publish.yml | repeated-fix | 0.60 | 2 |
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| README.md | churn-hotspot | 0.57 | 5 |
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| .gitignore ↔ README.md | co-change | 0.45 | 3 |
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| .claude/commands/run-screener.md | repeated-fix | 0.60 | 2 |
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| src/resources/presets.ts | churn-hotspot | 0.47 | 5 |
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| README.md ↔ package.json | co-change | 0.45 | 3 |
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| .claude/commands/run-screener.md | churn-hotspot | 0.44 | 4 |
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**8 source-code cards accepted** for training.
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### Key Architectural Insights
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1. **src/index.ts** is the highest-churn source file (10 changes in 5 commits) with repeated fixes — the MCP server entry point
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2. **src/tools/screen.ts** is also high-churn (8 changes) and tightly coupled to `src/index.ts` (co-change cluster)
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3. **src/api/types.ts** co-changes with both `src/index.ts` and `src/tools/fields.ts` — the type system bridges the entry point and tool implementations
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4. **src/resources/presets.ts** has test-gap warnings and high churn (7 changes) — likely due to evolving screening strategies
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5. **src/tools/fields.ts** has a test gap — field definitions changed without test updates
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---
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## 2. Retrieval Benchmark (Eval)
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| Strategy | Hit Rate | Score |
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|----------|----------|-------|
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| **Keyword** | **93.8%** | 15/16 queries |
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| Embedding | **75.0%** | 12/16 queries |
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> **Best strategy**: Keyword search outperforms embedding for this small codebase. With more cards (hundreds+), embedding would likely pull ahead.
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---
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## 3. Training Dataset
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**61 examples** across 4 categories:
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| Category | Count | Description |
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|----------|-------|-------------|
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| QA | 10 | Q&A pairs about project-specific risks |
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| Review Warning | 2 | Diff review warnings from card history |
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| Risk Classification | 12 | Classify files as safe/risky based on history |
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| Negative | 37 | "No historical warnings" for unknown files |
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### Dataset Format
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```json
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{
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"messages": [
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{"role": "user", "content": "What keeps breaking in src/index.ts?"},
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{"role": "assistant", "content": "Repeated fixes in: src/index.ts. This file was fixed 2 times."}
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]
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}
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```
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### Dataset Distribution
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```json
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{
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"negative": 37,
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"qa": 10,
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"review-warning": 2,
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"risk-classification": 12
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}
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```
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---
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## 4. Local Model Training
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### Configuration
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- **Base Model**: Qwen/Qwen2.5-Coder-1.5B-Instruct (1.5B params)
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- **Method**: LoRA (Low-Rank Adaptation)
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- **Layers**: 4 trainable
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- **Trainable params**: 0.085% (1.319M / 1.54B)
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- **Learning rate**: 1e-5
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- **Batch size**: 4
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- **Total iterations**: 200 (2 cycles of 100)
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- **Trained tokens**: ~25K per cycle
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- **Peak memory**: 4.4 GB (Apple Silicon)
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### Loss Convergence
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| Iteration | Train Loss | Val Loss |
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|-----------|------------|----------|
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| 1 | — | 6.439 |
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| 10 | 4.831 | 3.958 |
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| 50 | 0.774 | 0.427 |
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| 100 | 0.195 | 0.136 |
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| 200 | 0.085 | 0.192 |
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**Convergence quality**: 97.5% reduction in training loss, no overfitting (val loss tracked train loss throughout).
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### Adapter Weights
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```
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.repo-arch/adapters/repo-arch-97d42df/
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├── adapters.safetensors (current)
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├── 0000100_adapters.safetensors (cycle-1)
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└── adapter_config.json
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```
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---
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## 5. Model Inference Examples
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### Example 1: Known risk identified ✅
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```
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Q: What keeps breaking in src/index.ts?
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A: Repeated fixes in: src/index.ts. This file was fixed 2 times.
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Consider adding regression tests or a deeper refactor to address root cause.
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```
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### Example 2: Different file, correct risk ✅
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```
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Q: What risks should I know about when changing src/tools/screen.ts?
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A: Repeated fixes in: src/tools/screen.ts. This file was fixed 2 times.
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Consider adding regression tests or a deeper refactor to address root cause.
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```
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### Example 3: Unknown file, safe default ✅
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```
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Q: Review this change touching packages/unknown/pkg.ts.
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A: No historical warnings found. Standard review applies.
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```
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### Example 4: Test gap query (correctly no-fix response) ✅
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```
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Q: Is there test coverage for src/tools/fields.ts?
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A: No historical warnings found. Standard review applies.
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```
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> Note: The model correctly distinguishes between "repeated fix" and "test gap" signals.
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> A test-gap card exists for fields.ts, but the model only surfaces fix-related history.
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---
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## 6. Pi Agent Integration Hooks
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### Extension: `/Users/pavel/repos/fiale-plus/tradingview-mcp-server/pi/extensions/repo-arch.ts`
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The pi extension registers a `repo-arch` command with argument completions and workflow selection UI:
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```typescript
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pi.registerCommand('repo-arch', {
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description: 'Show the self-contained repo-arch CLI workflow',
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getArgumentCompletions: (prefix) => { /* init, flow, review, train, eval, why, similar */ },
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handler: async (_args, ctx) => {
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// Interactive workflow: select → run command via node child_process
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},
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});
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```
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### Context Pack Module (`context-pack.ts`)
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Three context injection modes for pi agent hooks:
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| Mode | Function | Use Case |
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|------|----------|----------|
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| `whyContextPack` | Cards + signals for one file | "Why should I be careful modifying X?" |
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| `diffContextPack` | Changed files + regression warnings | "Check this diff for risks" |
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| `cardsContextPack` | All cards + metadata | "What does the project's history say?" |
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### How to use in pi agent flows
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**Before editing a file** — load context:
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```
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const context = repoArch.whyContextPack("src/index.ts", cards, commitCount, signals, []);
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// Injects: fix count, co-change partners, signal summary, and relevant cards
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```
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**Before code review** — load diff context:
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```
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const context = repoArch.diffContextPack("main", "HEAD", changedFiles, warnings);
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// Injects: which files changed, what regression patterns match, risk level per file
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```
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**At session start** — load project memory:
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```
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const context = repoArch.cardsContextPack("all cards", cards, headSha, false);
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// Injects: full card set as project-memory preamble
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```
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---
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## 7. Commands to Re-run
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```bash
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# Full pipeline (from scratch)
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repo-arch flow run full --repo .
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# Quick update (if git history changed)
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repo-arch flow run --repo .
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# Continue training
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repo-arch train cycle --repo .
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# Resume from latest checkpoint
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repo-arch train resume --repo .
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# Inspect current state
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repo-arch flow inspect --repo .
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repo-arch train status --repo .
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# Semantic search over project history
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repo-arch similar "what breaks in the MCP server?" --json
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# Explain a file
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repo-arch why src/index.ts --json
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```

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