ai-commit
jotbot
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ai-commit
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I built a git commit message generator using OpenAI API
Hey fellow gophers, I recently discovered ai-commit, which proposes git commit messages for you after reading your git diff. I wanted to use it, but I didn't like the fact that it's written in PHP, so I decided to try and create my own similar tool in Go.
jotbot
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JotBot – AI-powered code documentation
Hi guys. I've written a code documentation generator that auto-generates missing documentation for your entire codebase (currently only for Go projects): https://github.com/modernice/jotbot
What are some alternatives?
autommit - An AI-enabled CLI git client to automate writing your commit messages, following the Conventional Commits spec.
chatgptui - ChatGPT 🤖 with Textual User Interface (TUI) mode written in Go.
chatwire - Self hosted ChatGPT clone using Laravel
meeting-concluder - Record audio from a meeting, then transcribe, conclude and send the conclusion and a piece of advice to Slack
NexaAIOne - Arm you with all the essential tools to integrate AI seamlessly into your apps, regardless of the coding language you're comfortable
free-ai-chat-sites - 🤖 Several unofficial websites/mirrors for using "Closed"AI's Chat*** for free. We are not endorsing any of the listed services.
pandora - ChatGPT Coding Unleashed! Pandora gives ChatGPT the ability to read and write files and run commands on your machine.
TaskEaseGPT - (WIP) A user-friendly, AI-powered task manager emphasizing efficient work over planning. Streamlines workflow with intelligent task generation & execution. Boost your productivity today!
conventional-commits - :yo_yo: A PHP library for creating and validating commit messages according to the Conventional Commits specification. Includes a CaptainHook plugin!
autogen - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
git-cliff - A highly customizable Changelog Generator that follows Conventional Commit specifications ⛰️
x - Solve complex tasks (e.g. writing and testing code) using LLM-Chains