Remedy An AI debugging tool built around evidence, not guesses.
Remedy connects the observed failure to bounded application, runtime, deployment and repository context.
Why debugging context matters
A stack trace can be useful, but many production defects appear as stale state, incorrect output, a failed worker, a slow query or an API response that violates an assertion. Effective AI software debugging needs the behaviour, recent evidence and exact software version.
Automated debugging across system layers
Remedy is designed to correlate evidence from the Reporter, SDK, Agent, Probes and authorised connectors. That can link a visible symptom with a backend error, container event, deployment change or mapped source location.
A testable diagnosis, not a list of possibilities
The aim is a bounded root-cause hypothesis that can be reproduced or challenged by deterministic checks. If evidence is insufficient, the incident should remain unresolved rather than encouraging speculative code changes.
Frequently asked questions
Is Remedy limited to browser debugging?
No. The platform is designed for web, mobile, APIs, workers, containers and server-side applications.
Does free-text feedback go straight to a coding agent?
No. Remedy sanitises and structures human reports with authorised evidence before diagnosis and repair orchestration.
From bug report to verified fix.
See how Remedy connects evidence, diagnosis, repair, deterministic checks and production verification.
Explore the complete workflow →