Example:
feat(auth): add OAuth2 integration with GitHub and Google
- Implement OAuth2 authentication flow
- Add provider configuration for GitHub and Google
- Create callback handler for token exchange
- Update login UI with social auth buttons
Don't like it? Reroll with 'r', or type `r "focus on xyz"` and it rerolls the commit with your feedback.You can try it out with uvx (no install):
uvx gac init # config wizard
uvx gac
Note: `gac init` creates a .gac.env file in your home directory with your chosen provider, model, and API key.Tech details:
14 providers - Supports local (Ollama & LM Studio) and cloud (OpenAI, Anthropic, Gemini, OpenRouter, Groq, Cerebras, Chutes, Fireworks, StreamLake, Synthetic, Together AI, & Z.ai (including their extremely cheap coding plans!)).
Three verbosity modes - Standard with bullets (default), one-liners (`-o`), or verbose (`-v`) with detailed Motivation/Architecture/Impact sections.
Secret detection - Scans for API keys, tokens, and credentials before committing. Has caught my API keys on a new project when I hadn't yet gitignored .env.
Flags - Automate common workflows:
`gac -h "bug fix"` - pass hints to guide intent
`gac -yo` - auto-accept the commit message in one-liner mode
`gac -ayp` - stage all files, auto-accept the commit message, and push (yolo mode)
Would love to hear your feedback! Give it a try and let me know what you think! <3GitHub: https://github.com/cellwebb/gac
Getting started is as easy as installing claude/codex/gemini: npm install -g aicommit2
I'm excited to give gac a try and see how it stacks up! The steering hints with gac might give it an edge.
```
git diff --staged --diff-filter=ACMRTUXB | jq -Rs --arg prompt 'You are an assistant that writes concise, conventional commit messages. Always start with one of these verbs: feat, fix, chore, docs, style, refactor, test, perf. Write a short!! message describing the following diff:' '{model:"qwen/qwen3-4b-2507", input:($prompt + "\n\n" + .)}' | curl -s http://localhost:1234/v1/responses -H "Content-Type: application/json" -d @- | jq -r ".output[0].content[0].text"
```
Well done OP.
git upstream-diff | llm --system-fragment cl-description.md
However, in practice, I notice the generated messages focus more on the what than the why. So it's rare I use them verbatim.Surely this is done on-device right? Or is the prompt asking the LLM if there are secrets in the changes.
Arguably I trust Github / Gitlab / etc more than OpenAI / Anthropic / etc
A fix often has a particular bug it’s addressed, the bug should be explained in the commit. A refactor has a reason, that needs to be explained as well.
I’m not saying LLMs can’t do this, but it needs the context and it’s rarely in the diff of the commit you will find that.
Supports claude and gemini with model selection and goes into the githook such that when you type `git commit` it invokes and generates the message.
https://gist.github.com/torqu3e/c08f4aa4e80fba66dce6c35d63dd...
* "Add perl to print the string anyone gan zea tne gode" (I'm impressed gemini got that close tbh)
A human would write:
"Wrote obfuscated perl to see if anyone actually reads the PRs. If they don't my next PR will include an obfuscated shell injection script."
*ariana.dev