{"repo":"band-ai/codeband","free":true,"listed":false,"github":"https://github.com/band-ai/codeband","clone":"git clone https://github.com/band-ai/codeband.git","description":"A coding tool to orchestrate multiple coding agents","language":"Python","stars":64,"topics":["claude-code","codex","coding-agent"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"Codeband Adversarial multi-model coding agents via Band.ai. Codeband runs Claude Code and Codex in adversarial roles on the same repository: one model family writes code, the other reviews it before merge. The same pattern applies to planning: one model decomposes the task, the other validates the plan. The goal is to catch blind spots that same-model review can miss, while keeping every worker isolated in its own git worktree. It is built for headless operation: local terminals, Linux servers, CI, Docker, and distributed cloud workers. Why Codeband? - Cross-model review by default : Claude-written PRs are routed to Codex reviewers, and Codex-written PRs are routed to Claude reviewers. - A real orchestration loop : planner, plan reviewer, coders, code reviewers, mergemaster, and watchdog coordinate through Band.ai. - Safe workspace isolation : each coder works in a separate git worktree and opens a PR. - Risk-aware merging : low-risk PRs can auto-merge; medium, high, and critical changes wait for approval. - Human-friendly and headless : use the interactive shell locally, or run the same orchestrator in CI and Docker. Parallel Agents Codeband's main advantage is not raw parallelism; it is adversarial pairing. A task is planned by one model family and reviewed by another, then code written by one model family is reviewed by the other. This catches model-specific blind spots better than asking one model to judge its own work. Parallel coders are useful when the Planner can spli","default_branch":null,"files":null,"tree":[],"storefront":"/r/band-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/band-ai/codeband/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}