Change the agent. Keep the process.
Choose who writes the code and who reviews it. Switch agents without rebuilding the pipeline.
AI DEVELOPMENT WORKFLOWS
Build a pipeline from task to reviewed pull request. Connect coding agents, automate review loops, and choose where you approve the work.
AI MODEL AGNOSTIC

LIVE SIMULATION // SAMPLE DATA
Follow the work from task to reviewed pull request. Select a stage to inspect or configure it.
Run the sample to watch a review fail, loop back, and pass.
How it works
The pipeline stays legible while agents, review settings, and human checkpoints change around it.
Choose who writes the code and who reviews it. Switch agents without rebuilding the pipeline.
Set review instructions and route feedback back to the coding step. Put a limit on revisions and a human decision where it matters.
Major · Handle an empty result set.
Follow agent activity, inspect review findings, and revisit the run history and pull request.
SAMPLE ACTIVITY · TOKEN USAGE WHERE AVAILABLE
Desktop, first
Pipe Run starts as a macOS app and coordinates the agent tools already installed on your machine. It uses their existing logins and creates a fresh clone for each run, separate from your working checkout.
Local execution is not a security sandbox. Agent providers and GitHub still receive the data required to do their work.
macOS
Apple silicon · Coming soon
Pricing
Join the waitlist for availability and pricing updates.
Model-provider subscriptions or usage charges are separate.
FAQ
Early access
Get Pipe Run availability and pricing updates by email.