askmycode 0.1.1

Ask questions about any codebase using AI — your code stays private

askmycode

Ask questions about any codebase in plain English. Your code never leaves your machine.

$ askmycode ask "how does authentication work?"

Authentication is handled in src/auth/middleware.py (lines 12–45).
The require_auth decorator validates a JWT from the Authorization header,
looks up the user in the session store (Redis), and attaches the user object
to the request context. Unauthenticated requests are rejected with a 401...

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Why askmycode?

Most AI coding tools send your entire codebase to a remote server. askmycode doesn't.

• Your code stays local. Only the question + a few relevant snippets reach the AI.
• Works on any codebase — Python, Go, TypeScript, Rust, Java, and more.
• No more grepping. Ask "where is the rate limiter?" instead of grep -r "rate" .
• Onboarding superpower. New to a repo? Ask questions instead of reading every file.
• Multi-provider. Gemini (free tier), OpenAI, Claude, or fully offline via Ollama.

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How it works

Your code  ──►  chunked locally  ──►  embedded locally  ──►  stored in local vector DB
                                                                        │
Your question ──► embed locally ──► find top chunks ──► send to AI ──► Answer
                                         ↑
                           only ~500 lines of relevant code
                           travel to the AI, not your whole repo

Embeddings run on your machine via sentence-transformers. Only the retrieved snippets and your question are sent to the LLM.

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Install

pip install askmycode

Or from source:

git clone https://github.com/NewtYao/askmycode
cd askmycode
pip install -e .

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Quick start

1. Set your API key

askmycode config set-key YOUR_GEMINI_KEY   # get a free key at aistudio.google.com

2. Initialise your project (optional — sets up .gitignore and suggests starter questions)

cd your-project/
askmycode init .

3. Index your codebase (run once; re-run after big changes)

askmycode index .

4. Ask questions

askmycode ask "where is the database connection configured?"
askmycode ask "how does the retry logic work?"
askmycode ask "what does UserService do?"

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Commands

askmycode ask

askmycode ask "your question"
  --sources, -s       Show which files and lines were used to answer
  --results, -n INT   Chunks to retrieve (default: 8)
  --provider TEXT     gemini | openai | anthropic | ollama
  --model TEXT        Model name override
  --project, -p PATH  Path to indexed project (default: .)

# Show sources alongside the answer
askmycode ask "how is caching implemented?" --sources

# Use a different provider for one question
askmycode ask "what does this codebase do?" --provider openai

askmycode chat

Multi-turn conversation — follow-up questions remember previous answers.

askmycode chat

You: how does auth work?
Assistant: ...

You: what about the refresh token flow?   # remembers the previous answer
Assistant: ...

askmycode index

askmycode index .                 # index current directory
askmycode index /path/to/project  # index a specific path

Re-indexing is incremental — only changed files are re-embedded.

askmycode stats

askmycode stats

Files indexed:  42
Total chunks:   187
Last indexed:   2026-05-23 14:30:01
Index location: /your/project/.askmycode

askmycode init

askmycode init .

Detects your project type (Python, Go, Node, Rust...), adds .askmycode/ to .gitignore, and prints suggested first questions.

askmycode config

askmycode config set-key   YOUR_API_KEY
askmycode config set-provider  gemini      # gemini | openai | anthropic | ollama
askmycode config set-model     gpt-4o      # optional model override
askmycode config show

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Multiple providers

Provider	Command	Notes
Gemini (default)	config set-provider gemini	Free tier at aistudio.google.com
OpenAI	config set-provider openai	Requires OPENAI_API_KEY
Claude	config set-provider anthropic	Requires ANTHROPIC_API_KEY
Ollama	config set-provider ollama	100% offline, no API key

Fully offline with Ollama

# 1. Install Ollama: https://ollama.com
# 2. Pull a model
ollama pull llama3

# 3. Use it
askmycode config set-provider ollama
askmycode config set-model llama3
askmycode ask "how does this work?"   # zero internet required

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Per-project config

Commit an .askmycode.toml to share settings with your team:

[askmycode]
provider = "gemini"
model = "gemini-2.5-flash-lite"
n_results = 10

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GitHub Action

Add AI-powered Q&A directly to your pull requests. Team members comment /ask <question> and get an instant answer.

Setup:

1. Add your API key as a repository secret: GEMINI_API_KEY
2. Create .github/workflows/askmycode.yml (see example)

Usage in a PR:

/ask where is error handling for the payment flow?

The bot replies with the answer + source file references, inline in the PR.

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Privacy

What happens	Where it goes
Your full codebase	Stays on your machine
Embeddings (vector index)	Stored in .askmycode/ in your project
Your question + ~500 lines of relevant code	Sent to the LLM API

Use --provider ollama for zero data leaving your machine.

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Supported file types

Python · JavaScript · TypeScript · Go · Rust · Java · C/C++ · Ruby · PHP · Swift · Kotlin · Scala · Shell · SQL · YAML · JSON · TOML · Markdown · HTML · CSS · Vue · Svelte

Python files are chunked at function and class boundaries using AST parsing, giving higher-quality retrieval than fixed-size splitting.

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How retrieval works (technical)

1. Index: Files are chunked (AST-aware for Python, sliding window for others), embedded with all-MiniLM-L6-v2, and stored in a local ChromaDB.
2. Query: Your question is embedded. The top n × 3 candidates are fetched by cosine similarity, then re-ranked with a cross-encoder (ms-marco-MiniLM-L-6-v2) for higher precision.
3. Answer: The top N chunks + a project file tree are sent to the LLM with a developer-focused system prompt. The answer streams back in real time.

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Roadmap

• VS Code extension
• Watch mode (auto re-index on file save)
• Semantic diff Q&A (askmycode ask about uncommitted changes)
• Kotlin / Swift AST chunking
• Web UI

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Contributing

PRs welcome. Run the tool against itself to test:

askmycode index .
askmycode ask "how does the indexer work?"

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License

MIT