Angy is an open-source fleet manager and IDE for Claude Code. Single-agent tools often generate code that fails at integration. Angy fixes this by orchestrating a deterministic multi-phase pipeline (Plan → Build → Test) featuring an adversarial Counterpart agent that strictly verifies all code. Using Git worktree isolation, multiple agents can build on your repo in parallel without branch conflicts. Stop fixing AI hallucinations and let Angy autonomously ship verified full-stack features.
Hey Product Hunt! I’m the creator of Angy.
As a top 7% global user of Cursor, I know a thing or two about developing with AI tools. But I hit a wall: I needed a way to manage fleets of agents to build multiple parallel projects without massive cognitive overhead.
So, I built Angy. It is a UI and orchestration engine designed to manage, coordinate, and test agents with one goal: creating entire products with minimal LLM errors. Currently, Angy wraps the Claude Code CLI to spawn its agents, but I am actively developing direct agent loops to support Gemini and Anthropic Agent SDK natively.
Here is the crazy part: I started building Angy two weeks ago using Cursor. After just one day, it was capable enough to start developing itself. Now, I don't use Cursor anymore.
I genuinely believe this workflow is a game-changer. I now trust it to write code while I sleep because of a few core features:
Integrated Scheduler: It runs epics autonomously overnight.
Git Worktrees: Multiple agents can work in parallel on the same repo without stepping on each other's branches.
The Strict Loop: every epic goes through an Architect -> Counterpart (Adversarial Review) -> Build -> Test & Fix pipeline. It doesn't ship until the Counterpart is satisfied.
I'd love for you to try it out. It's open-source and free to self-host. Let me know what you think, and I will be around all day to answer questions! Consider it in Alpha stage
@alice_viola_setti I was just yesterday looking for a solution to visualize agent work. And it seems like... I searched in Claude, searched in ChatGPT, and each of them offered their own solution that didn't really satisfy me. So listen, great idea. I think this definitely needs to be tried, especially for overnight runs.
Hi guys, congrats on the launch!
I love the concept of the product you are building.
Could you please tell what are your thoughts on how to compete with bigger developer tools? Wouldn't they ship same features in the next few releases?
The adversarial Counterpart agent that strictly verifies code before shipping is the missing piece in most AI coding pipelines — the Architect → Counterpart → Build → Test deterministic loop with a gatekeeper that blocks merges until satisfied should catch the integration failures that single-agent tools routinely miss when generating code in isolation. The fact that Angy bootstrapped its own development after just one day of initial Cursor work is a compelling proof of concept; with the integrated scheduler running epics overnight, how does the Counterpart agent handle ambiguous requirements — does it flag spec gaps back to the user, or does it interpret intent and proceed autonomously?
Alice Viola Setti