# Developer Intelligence POC

A local proof-of-concept that builds a living knowledge graph from a Go codebase. Every file gets LLM-generated documentation. Every relationship gets documented. Everything stays current on every merge. Query it from Claude Code via MCP.

## Quick Start

```bash
cd dev-intel-poc
uv sync                         # install deps
uv run python ingest.py         # clone echo, parse, generate docs (~15-20 min)
claude --mcp-config .mcp.json   # start Claude Code with the knowledge graph
```

Then ask Claude Code:
- "How does routing work in echo?"
- "What files depend on context.go?"
- "Give me an overview of this project"

## Prerequisites

- Python 3.11+
- [uv](https://docs.astral.sh/uv/) (`curl -LsSf https://astral.sh/uv/install.sh | sh`)
- Ollama running at `192.168.86.172:11434` with `qwen2.5:7b`
- Claude Code CLI (`claude`)
- git

## Demo Walkthrough

### Act 1: "Here's what your codebase knows about itself"

After `python ingest.py` completes, start Claude Code:

```bash
claude --mcp-config .mcp.json
```

Ask it:
```
> What does echo.go do?
> How does echo.go interact with router.go?
> Give me an overview of the whole project
> What files depend on context.go?
> Search for anything related to "middleware"
```

Every answer comes from LLM-generated documentation stored in the knowledge graph — not from reading raw source code.

### Act 2: "Now someone pushes a change"

In another terminal:
```bash
python simulate_merge.py echo.go
```

This:
1. Regenerates echo.go's documentation (reflects the new code)
2. Marks all relationships involving echo.go as STALE
3. Marks the repo summary as STALE

Back in Claude Code:
```
> What does echo.go do?          # fresh doc — mentions the new tracing feature
> What's the repo overview?       # shows [STALE] — knows it's outdated
> Show me all stale docs          # lists everything that needs refresh
```

### Act 3: "The system heals itself"

```bash
python refresh_stale.py
```

Back in Claude Code:
```
> What's the repo overview?       # fresh again — rewritten to include new capabilities
> Show me all stale docs          # "Everything is fresh!"
```

## Architecture

```
ingest.py ──→ repos/target/ (git clone)
    │              │
    │         parser.py (tree-sitter AST)
    │              │
    │         docgen.py (Ollama qwen2.5:7b)
    │              │
    └──────→ devintel.db (SQLite)
                   │
              mcp_server.py ──→ Claude Code
```

No Docker. No external databases. One SQLite file. One MCP server.

## MCP Tools

| Tool | What it does |
|---|---|
| `get_file_doc(path)` | Read a file's generated documentation |
| `get_relationship(a, b)` | How two files interact |
| `get_repo_overview()` | Project-level summary |
| `get_dependents(path)` | What breaks if you change this file |
| `get_dependencies(path)` | What this file depends on |
| `search_docs(query)` | Keyword search across all docs |
| `get_stale_docs()` | List outdated documentation |
| `get_graph_stats()` | File count, relationship count, staleness |

## Project Structure

```
dev-intel-poc/
├── requirements.txt       # Python deps
├── .mcp.json              # Claude Code MCP config
├── ingest.py              # Main ingestion pipeline
├── simulate_merge.py      # Simulate a code change
├── refresh_stale.py       # Refresh stale docs
├── db.py                  # SQLite backend
├── parser.py              # tree-sitter Go AST parser
├── docgen.py              # Ollama doc generation
├── mcp_server.py          # MCP server for Claude Code
└── devintel.db            # Generated — the knowledge graph
```

## Configuration

| Env Variable | Default | Description |
|---|---|---|
| `LLM_BACKEND` | `ollama` | `ollama` or `openai` (for Kiro gateway, OpenRouter, etc.) |
| `OLLAMA_URL` | `http://192.168.86.172:11434` | Ollama endpoint |
| `OLLAMA_MODEL` | `qwen2.5:7b` | Ollama model |
| `OPENAI_URL` | `http://192.168.86.11:8000` | OpenAI-compatible endpoint (Kiro gateway) |
| `OPENAI_MODEL` | `claude-haiku-4` | Model name for OpenAI-compatible API |
| `OPENAI_API_KEY` | `not-needed` | API key (if required by endpoint) |
| `TARGET_REPO` | `https://github.com/labstack/echo.git` | Repo to ingest |
| `MAX_CONCURRENT` | `4` | Parallel LLM requests |
| `DEVINTEL_DB` | `./devintel.db` | SQLite database path |
| `REPO_DIR` | `./repos/target` | Cloned repo location |