Parallax is a local-first AI orchestrator for software development tasks. It pulls work from Linear or GitHub Issues, creates isolated worktrees, generates a plan first, waits for approval, then executes changes and opens or updates the related branch and PR while keeping control on your machine.
Hey Product Hunt!
I’m excited to share Parallax with you.
I built it because I wanted an AI coding agent that fits into a real dev workflow, not one that disappears into a black box. Parallax runs locally, turns Linear or GitHub issues into tasks, creates a plan first, waits for approval, then works in isolated branches and opens a reviewable PR.
The big idea is simple: let AI help with real software work while you stay in control of planning, execution, and review.
If that sounds useful, I’d love for you to check it out and tell me what feels promising, confusing, or missing. I’ll be around all day and would really appreciate the feedback.
Looks great but Im curious how complex the setup is. Tools like this can sometimes be tough to onboard.
🚀 Big News: Parallax is Now Open Source!
I'm excited to share that Parallax, it’s officially open source.
Parallax started as an idea to make working AI workflows simpler and more transparent.
By making Parallax open source, anyone can: ✨ Explore how it works 🔧 Contribute improvements 🚀 Build new ideas on top of it
I’m really excited to see what the community builds, and I’d love your feedback, contributions, and ideas.
If you find Parallax interesting, I’d really appreciate your support on Product Hunt today 🙌
Local-first AI orchestration is an underrated design choice — no latency spikes, no data leaving the machine. How does it handle tasks that need external API calls while staying local?
The plan-first-then-execute workflow with explicit approval gates is exactly the right trust model for AI coding agents — pulling issues directly from Linear or GitHub, creating isolated worktrees, and opening reviewable PRs means Parallax slots into an existing dev process rather than requiring teams to adopt a new one. Running everything locally with full control on your machine is a strong differentiator from cloud-based coding agents; how does Parallax handle issues that require changes across multiple repos or services — can it coordinate work across different worktrees, or is it scoped to single-repo tasks?
Maxi Gimenez