noob-ai-labs

noob-ai-labs / workstreams

Public

declarative CLI orchestrator for parallel AI coding agents. define workstreams, run in isolated worktrees, review with comments, and iterate until done.

runws.dev agent-orchestration claude-code cli codex git-worktree
25
1
100% credibility
Found Mar 09, 2026 at 21 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A tool for coordinating multiple AI coding assistants to perform parallel tasks on a software project, with features for setup, execution, review, iteration, and integration of results.

How It Works

1
💡 Discover the tool

You learn about a handy helper that lets several smart AI assistants work on different parts of your coding project all at once.

2
🛠️ Set it up

You quickly prepare it inside your project folder so everything is ready to go.

3
📝 List your tasks

You describe simple jobs for the AIs, like 'add tests here' or 'make dark mode work'.

4
🚀 Start the magic

You launch all the AI helpers together, and they dive into their tasks in separate safe spaces – watch the progress build excitingly!

5
🔍 Review the changes

You check what each AI did, see side-by-side views of updates, and add notes if something needs tweaking.

6
Decide next
🔄
Tweak and retry

Tell an AI your thoughts so it improves its work.

✅
Blend it in

Pull the finished changes into your main project.

🎉 Project improved

Your coding project now has all the new features and fixes seamlessly added, saving you tons of time.

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AI-Generated Review

What is workstreams?

Workstreams is a TypeScript CLI tool built on Bun that orchestrates parallel AI coding agents like Claude or Aider across isolated git worktrees. Define tasks declaratively in a YAML file—think workstreams ai for project management—then run `ws run` to spin up agents simultaneously on features like adding tests or dark mode. Review diffs in a terminal UI, add comments, resume iterations hands-off, and merge cleanly with `ws merge`.

Why is it gaining traction?

It stands out by running agents in parallel without branch conflicts, unlike sequential tools, with a slick TUI for diff previews and interactive pickers. Developers hook on the workflow: declarative pipelines in GitHub repos, quick resumes via comments, and auto-commits, slashing iteration time on multi-task refactors. The git worktree isolation keeps your main branch pristine.

Who should use this?

Full-stack devs splitting AI tasks across backend tests, frontend UIs, and docs in one repo. Teams using workstreams in project management for parallel feature spikes, or solo hackers prototyping slide workstreams powerpoint-style breakdowns. Ideal for Bun users tired of manual branch juggling with agents.

Verdict

Try it for small AI-driven experiments—15 stars and 1.0% credibility signal early days with solid docs and tests—but expect rough edges in agent compatibility. Promising for declarative http client spring boot 4 workflows accelerated by AI.

(198 words)

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