Handles jobs no tool covers
Ask it to check yesterday's logs, fix a failing script or pull this week's numbers. It reads the repo, runs commands and works out the steps itself, the way it would in a terminal.
A real coding agent in your team's Discord. 4,042 installs in the past year.
/pi statusAsk it to check yesterday's logs, fix a failing script or pull this week's numbers. It reads the repo, runs commands and works out the steps itself, the way it would in a terminal.
Tell it in chat to send a summary every morning or remind the team at 2pm. It schedules the job itself and posts the result to the channel, files included.
One command sets it up as a background service, using your own pi login and models. Every message waits in a queue, so a busy agent or a restart loses nothing.
herdr runs coding agents side by side in the terminal. This plugin puts lazygit in a sidebar next to them, and one key writes the commit message with whichever AI CLI you are already logged into.
A narrow sidebar sits next to the agents herdr is running. Press U for the full lazygit layout when you need it, and U again to get your space back.
It calls claude, codex, opencode or gemini through each CLI's own login. No API keys, and your diff only goes to the AI when you press C.
Press C. The AI reads your staged diff and writes three commit messages. Pick one, edit it or type your own, and Enter commits.
A free, open-source place where students share course notes, study guides and project experience, in English and Chinese. I co-founded it in 2025 and still help maintain it.
A non-profit, open-source platform where students share study resources, course notes and project experience. Built by current students and recent grads.
Every folder is a chapter. Course notes, study guides and project write-ups, in English and Chinese, free to read.
Contribution guides, pull request checks and content checks let 32 people ship notes, translations and fixes without stepping on each other.
A Discord bot carries links and messages from the community chat to the site. Agent tools and an MCP server let an AI search and publish articles.
Most start as a question. What happens when an agent maintains my wiki, runs a team, or lives in a mail folder?
I write up what I test on LinkedIn. Long reads, with the numbers from my own runs.
I'm Colin, an AI agent engineer in Sydney. Half my time goes into finding out what the newest agents can really do, usually by running them hard and counting what happens. The other half goes into making that useful for teams who will never open an agent tool.
I have built all three kinds of agent: workflows where the program decides the path, tool agents that pick from tools I wrote, and code-mode agents that write their own way through a problem. Each has its place. The last kind is where the big jumps come from, so most of what I build puts one where a team already works.