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parallel coding - plan and execute with AI","maintainers":[{"name":"lotus015","email":"tmiodrag11@gmail.com"}],"readme":"# baro\n\n> Type a goal in your repo. Walk away. Come back to a verified pull request.\n\n[![npm version](https://img.shields.io/npm/v/baro-ai.svg?color=cb3837&logo=npm&logoColor=white)](https://www.npmjs.com/package/baro-ai)\n[![npm downloads](https://img.shields.io/npm/d18m/baro-ai.svg?label=downloads)](https://www.npmjs.com/package/baro-ai)\n\nbaro is an autonomous software factory. It compiles your goal into a machine-checkable\ncontract, splits it into a DAG of stories, builds them in parallel across isolated git\nworktrees, and blocks every merge behind fail-closed gates — declared tests, build,\nan evidence critic, write-surface ownership. You review a PR the gates already accepted.\n\nOne prompt → a 33-story plan → 808 passing tests → a PR, in 71 minutes.\n[See a real run.](https://jigjoy.ai/blog/baro-808-nestjs-jest-tests)\n\n## Install\n\n```bash\nnpm install -g baro-ai\n```\n\nNeeds Node 20+, git, and at least one backend: the `claude` CLI (default), `codex`,\nor any OpenAI-compatible endpoint. `baro --doctor` checks your setup.\n\n## Use\n\n```bash\ncd your-repo\nbaro \"Add JWT authentication with role-based access control\"\n```\n\nThat opens the TUI: intake asks only what matters, you confirm the plan, the fleet runs.\n\nFor automation, detach and follow from anywhere:\n\n```bash\nbaro --headless --detach --goal-file goal.txt   # prints a run id, returns immediately\nbaro watch <run-id>                             # follow milestone events\nbaro logs <run-id> --follow                     # tail the raw log\nbaro runs                                       # list live runs\nbaro stop <run-id>                              # stop one\n```\n\n## Commands\n\n| Command | What it does |\n|---|---|\n| `baro \"<goal>\"` | run a goal in the current repo (TUI) |\n| `baro --goal-file <path>` | read the goal from a file |\n| `baro --headless --detach ...` | background run for CI/automation; prints the run id |\n| `baro watch <run-id>` | follow a live run's milestones |\n| `baro logs <run-id> [--follow]` | print or tail a run's log |\n| `baro runs` / `baro stop <id>` | list / stop live runs |\n| `baro --resume` | resume an interrupted run from `prd.json` — **never re-plans** |\n| `baro --continue` | follow-up on the current branch — **always re-plans** |\n| `baro --doctor` | self-diagnostic: backends, auth, gh, permissions |\n| `baro login` | browser sign-in for baro cloud |\n| `baro connect [--install-service]` | attach this machine as a cloud runner |\n\n## The flags that matter\n\n```bash\n--llm claude|codex|openai|opencode|pi|hybrid|jigjoy   # backend for all phases\n-m opus|sonnet|haiku          # model override (verbatim pass-through on other backends)\n--effort low..max             # thinking per turn (default: high)\n--parallel N                  # max parallel story agents (0 = unlimited)\n--mode focused|sequential|parallel   # force an execution mode (default: intake proposes)\n--quick                       # trivial goals: one story, no architect/critic/surgeon\n--local-only                  # no pushes, no PRs — hard isolation\n--shell-budget <seconds>      # per-command budget for story shell tools\n--openai-base-url <url>       # any OpenAI-compatible provider (OpenRouter, vLLM, Ollama…)\n--tier-map \"light=openai:MiniMax-M3,heavy=claude:opus\"   # mix backends per story tier\n```\n\nPer-phase overrides (`--architect-llm`, `--story-model`, …), `.barorc`, and everything\nelse: [**docs.baro.rs**](https://docs.baro.rs)\n\n## How it works\n\n![baro architecture — a Rust TUI host, a TypeScript orchestrator whose bounded contexts meet on the mozaik event bus, and machine gates in front of every merge](https://raw.githubusercontent.com/jigjoy-ai/baro/main/assets/architecture.png)\n\n- **Contract first.** An architect turns the goal into invariants and obligations that\n  are machine-checkable — before any code is written.\n- **A collective, not a coordinator.** Story agents are peers on an event bus: they see\n  the events that concern them, exchange notes, and suspend/resume on each other's work.\n  There is no single context window everything must squeeze through.\n- **Gates, not vibes.** Declared tests, build-before-commit, an evidence critic that\n  judges captured command output, and write-surface ownership — fail-closed, blocking\n  every merge. The human reviews a PR the gates already accepted.\n- **A live plan.** The plan is a DAG the run negotiates with: runtime replanning adds and\n  rewires stories mid-run, and a failed gate can spawn its own remediation story.\n\n## Drive it with Claude Code\n\nbaro pairs well with a coding agent in the driver's seat. Paste this into Claude Code\ninside your repo:\n\n```text\nInstall baro (npm install -g baro-ai) and run `baro --doctor` to verify the setup.\nThen drive it for me:\n\n1. Write my task as an evidence-rich goal file: name the exact files and line numbers\n   the change touches, state the constraints, and say which tests must prove it.\n2. Launch it detached: `baro --headless --detach --goal-file goal.txt`, note the run id.\n3. Follow it with `baro watch <run-id>`; if it stalls, read `baro logs <run-id>`.\n4. When the pull request opens, review the diff against the goal, run the project's\n   test suite yourself, and report back: what shipped, what the gates proved, and\n   anything that needs my eyes. Merge only if everything is green.\n\nKeep goals narrow — one concern per run. If the run fails, read why, tighten the goal\nwith the new evidence, and launch again.\n```\n\n## Cloud\n\nNo machine, or no Claude/Codex subscription? Run the same fleet on\n[**app.baro.jigjoy.ai**](https://app.baro.jigjoy.ai) — nothing to install, isolated\nsandboxes, our keys. Or keep your own hardware in the pool: `baro login`, then\n`baro connect --install-service`.\n\n---\n\nDocs: [docs.baro.rs](https://docs.baro.rs) · Issues: [github.com/jigjoy-ai/baro/issues](https://github.com/jigjoy-ai/baro/issues) · Twitter: [@lotus_sbc](https://twitter.com/lotus_sbc)\n","readmeFilename":"README.md"}