Run AI coding agents autonomously for days.
Scaling long-running autonomous coding · Cursor
We've been experimenting with running coding agents autonomously for weeks at a time.
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AI agent runs amok in Fedora and elsewhere
Agentic AI systems can be used to do a variety of things autonomously on behalf of a human user [...]
cmux - The terminal built for multitasking
Free and open source macOS terminal for AI coding agents. Works with Claude Code, Codex, OpenCode, Gemini CLI, Kiro, Aider, and any CLI tool.
How to harness AI
"Coding agents" are complicated but intelligible
Meet Foundry: An AI Startup that Builds, Evaluates, and Improves AI Agents
My Agentic Coding Setup, July 2026
With the right tools, coding agents can run autonomously, in parallel, and be reachable from anywhere. Here's how I've stitched them together.
Docker Brings Compose to the AI Agent Era | Docker
Define, run, and scale AI agents using Docker Compose and Docker Offload. Streamline agentic development across your stack.
Georgi Gerganov on Twitter / X
llama.cpp at 100k starsnow that 90% of the code worldwide is being written by AI agents, I predict that within 3-6 months, 90% of all AI agents will be running locally with llama.cpp 😄Jokes aside, I am going to use this small milestone as an opportunity to reflect a bit on… pic.twitter.com/BpN5VL1bYV— Georgi Gerganov (@ggerganov) March 30, 2026
10 things I learned from burning myself out with AI coding agents
Opinion: As software power tools, AI agents may make people busier than ever before.
Matt Pocock on Twitter / X
There's an AI coding approach that lets you run seriously long-running AI agents (hours, days) that ship code while you sleep. I've tried it, and I'm not going back.It's the Ralph Wiggum approach. Here it is in a nutshell:Run a coding agent with a clean slate, again and again…— Matt Pocock (@mattpocockuk) January 4, 2026
PrimeIntellect-ai/prime-agent
A self-improving RLM agent for coding workflows and long-running autonomous tasks.
openai/symphony
Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.