We are live with Zenflow - Ask us anything!
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Hello Product Hunt community!
Today, we are launching our Zenflow by @Zencoder on Product Hunt - it’s built around a problem we kept hitting internally: once you start using multiple AI coding agents, things get messy fast loops, conflicting changes, no verification, and no real control.
Zenflow is our attempt to solve this with multi-agent orchestration, parallel execution, and cross-model verification (instead of betting everything on one model or prompt).
Our launch is now live here, and we'd love and appreciate your support: https://www.producthunt.com/posts/zenflow-by-zencoder
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What was the biggest challenge while building this next step and your product?
Zencoder
@vibor_cipan Thank you for this great question Vibor; The hardest part I would say was unlearning how AI tools were ‘supposed’ to work, and then the biggest challenge was turning ‘the next step’ into a real system, not just a better demo.
We were very clear that the next step after AI assistants wasn’t smarter prompts or another copilot, it was orchestration. But building that leap was hard because orchestration isn’t a feature, it’s a system.
Once you move beyond a single agent, you’re dealing with parallel execution, shared context, conflicting outputs, verification, and state management, all at once. Early versions worked in isolation, but they fell apart when we tried to run real workflows end to end.
The hardest part of building the product was making parallel agents reliable and observable. We had to anchor everything to specs, design workflows that don’t block or drift, and build verification loops so agents could check each other instead of relying on humans to babysit the AI.
And just as importantly, we had to surface all of that in a UI people could actually understand and trust.
Getting speed and predictability at the same time was the real challenge and that’s what Zenflow is designed to solve.
@neer_k Thanks for the awesome answer! AI drift is tricky and also hitting the Goldilocks zone as Andrew mentioned in his first comment.
Cool stuff guys, will be watching out for the development of this!
Zencoder
@vibor_cipan Thank you Vibor
Laminar
Congrats on the launch! I've heard about a senior engineer orchestrating all their Copilot agents all through Github interface. Do you see Zenflow as a replacement or an addition to such setup?
Zencoder
@din_mailibay Thank you for the question Din. What that senior engineer might be doing through GitHub and Copilot is essentially manual orchestration. They’re using PRs, branches, comments, and discipline to coordinate multiple AI agents and keep things under control.
Zenflow doesn’t try to replace that workflow. Instead, it formalizes and scales it.
With Copilot-in-GitHub, the orchestration logic lives mostly in the engineer’s head: which agent does what, when to stop, how to compare results, how to avoid conflicts. Zenflow makes that orchestration explicit and repeatable with sandboxed branches per agent, step-driven workflows, and built-in verification and review loops.
In practice, many teams still use Copilot for day-to-day CRUD and quick edits. Zenflow comes in when the work gets more complex: multi-step changes, refactors, migrations, cross-repo updates, or when you want to run several agents in parallel and safely pick the best result.
So we think of Zenflow as the control plane for AI work.
Love seeing tools that focus on control and observability instead of just raw AI power. How easy is it to plug Zenflow into an existing dev workflow?