czarandy/l3-simulator — explained in plain English
Analysis updated 2026-05-18
Label a GitHub issue as ready and have an AI coding agent open a pull request for it automatically.
Let an agent fix its own pull request when CI fails or a reviewer leaves comments.
Run a terminal dashboard to watch multiple in-progress AI coding tasks at once.
Require an approved plan before an agent starts writing code on a task.
| czarandy/l3-simulator | 0xkinno/astraea | 0xkinno/halcyon | |
|---|---|---|---|
| Stars | 0 | 0 | 0 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | moderate | hard | hard |
| Complexity | 3/5 | 4/5 | 4/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires Node 22+, an authenticated gh CLI, and a Claude Code or Codex CLI installed.
L3 Simulator is a tool that manages AI coding agents for you on top of GitHub issues. Instead of you manually asking an AI assistant to work on a task, you label a GitHub issue as ready and the tool claims it, dispatches an AI coding agent such as Claude Code or Codex into an isolated copy of your repository, and has it write code and open a pull request. From there it also watches over that pull request, reacting to failing checks, new review comments, or merge conflicts by sending the agent back in to fix things. GitHub labels are the whole system's memory. Labels like ready, in progress, blocked, and in review describe exactly where each issue stands, so if the tool crashes or restarts it can figure out the current state again just by reading labels and pull requests. You can watch and interact with everything either through a terminal dashboard or directly through the normal GitHub issues page. Importantly, the tool never merges anything itself. Merging and final code review stay entirely your responsibility. The agents are blocked from running git push or gh commands that would merge code, so they can open as many pull requests as they like, but shipping the result is always a human decision. The workflow supports optional planning steps, where an agent proposes a plan and waits for your approval before writing any code, and it can even handle situations where one repository's task turns out to depend on work in another repository, automatically filing the follow up issue there. It runs as a command line tool built with Node.js version 22 or newer, and needs the GitHub CLI and at least one of Claude Code or Codex installed to actually do the coding work.
A command line tool that dispatches AI coding agents to work on your labeled GitHub issues and manages their pull requests for you.
Mainly TypeScript. The stack also includes TypeScript, Node.js, GitHub CLI.
The README does not state a license.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.