Local-first issue tracking for AI-assisted software work, with an agent-friendly CLI and human-facing TUI
GitHub - hmans/beans: A CLI-based, flat-file issue tracker for humans and robots. 🤖
A CLI-based, flat-file issue tracker for humans and robots. 🤖 - hmans/beans
The issue tracker that runs inside the loop.
A local-first issue tracker for coding agents and the humans steering them. Queries in 4ms, on your own machine.
Git AI - Track AI Code all the way to production
Cross-agent observability from prompt to production. Track AI-generated code from Cursor, Claude Code, GitHub Copilot, Gemini, and more through the entire SDLC.
goose | Your open source AI agent
Your native open source AI agent. Desktop app, CLI, and API — for code, workflows, and everything in between.
goose | Your open source AI agent
Your native open source AI agent. Desktop app, CLI, and API — for code, workflows, and everything in between.
Kimi Code - Next-Gen AI Code Agent | Automated Programming & CLI
Unlock Kimi Code (KFC), the ultimate AI toolkit for developers. Featuring high-performance CLI tools and Turbo-speed models to automate code generation and boost development efficiency. Experience faster, more reliable AI-powered coding today.
Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl
Notes from my Thoughtworks colleagues on AI-assisted software delivery
maki
An efficient AI coding agent. Native Rust TUI. Immediate startup, 60 FPS, low memory. Indexes files instead of reading them, chains tools in a sandbox interpreter. Anthropic, OpenAI, Google, Z.AI, OpenRouter, Synthetic, or any OpenAI / Anthropic compatible API.
LukeW | Common AI Product Issues
At this point, almost every software domain has launched or explored AI features. Despite the wide range of use cases, most of these implementations have been t...
'AI' Sucks the Joy Out of Programming
I’ve used spicy auto-complete, as well as agents running in my IDE, in my CLI, or on GitHub’s server-side. I’ve been experimenting enough with LLM/AI-driven programming to have an opinion on it. And it kind of sucks.
OpenAI launches new initiative to help find and patch open source bugs | TechCrunch
OpenAI is using AI to help the open source community better protect itself.
While Distracted by AI: The Quiet Rise of Local-First Software
My multi-user + AI agents p2p collaboration app is starting to take shape! Automerge and Iroh are a joy to work wth. #localfirst #cloudless #rust #WIP #learnbybuilding youtu.be/JSqCABm8UQU
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Large Language Model (LLM) agents have been widely adopted in modern software development workflows. SWE-bench [13] and related works [23, 24, 22, 25, 15] establish the task of issue resolution as a de-facto standard for assessing their capability and usefulness. In this setting, an agent is given an entire codebase, a task description (e.g., a bug report or feature request) in natural language and is instructed to produce a code patch that resolves the issue and passes the repository’s test suite. These benchmarks have been instrumental in demonstrating both the substantial potential and the persistent limitations of current models as SWE agents.