Now in early access
AI agents that continuously investigate live data, diagnose emerging issues, and generate preemptive fixes.
Modern apps break in production constantly, and the tools built to help stop at the data. The reasoning, the part that actually costs hours, is left to you.
Error monitors, logs, metrics, and analytics hand you ten thousand signals, but turning them into a root cause is still manual, slow, and entirely on you. Your team ends up chasing bugs instead of building, sometimes mid-task and sometimes mid-sleep.
Investigate the root cause, trace the code path, work out how to reproduce it, draft a fix. The same loop, every incident, burning hours that were never the interesting part. It should be automated.
One agent runs the loop a human would. It investigates, analyses, and shows its work at every stage, so review becomes a confident approval instead of a re-investigation that eats your dev time.
What changes the moment one agent runs the loop a human would, and shows its work at every stage.
Built to read from, listen to, and respond across the tools your team already lives in: the dev platforms, the chat, and the project boards where work actually happens.
Phagon proposes; a human approves. Fixes land as pull requests you review from Slack or the dashboard, and nothing merges behind your back.
Per-project rules decide what's eligible for fast-track by confidence, files touched, lines changed, and risky-file checks. Tighten or loosen per environment.
Every proposal carries its evidence: the trace, the matched code path, the severity reason, and the diff. You can see how it reached its conclusion instead of trusting a black box.
Join the early-access waitlist. We'll email you an invite when your spot opens, and nothing else.
