Catch and patch production errors before they become customer pain.
Lyco AI links observability to execution. When issues surface in Sentry, Datadog, or similar tools, it investigates and prepares concrete fixes with full context.
Teams lose hours to reactive incident triage, and repetitive debugging work steals focus from roadmap delivery.
A checkout error spikes after a release. Alerts fire, but engineers are split across meetings and sprint commitments.
Lyco AI traces the error path, reproduces conditions, identifies likely root causes, and opens a patch-ready change set with test updates. The team reviews and ships instead of starting from zero.
Ingest alerts, group recurring patterns, and prioritize by business impact.
Correlate stack traces, logs, and recent code changes to isolate likely failure points.
Draft code fixes, update tests, and document the rationale behind each change.
Flag risk areas, recommend validation checks, and provide rollback guidance.
- Lower mean time to resolution for production incidents
- Reduced interruption load on engineering teams
- Higher confidence in fixes through explicit reasoning and tests
- Access to observability tooling (for example Sentry or Datadog)
- Repository and CI context for proposing validated fixes
- Approval workflow for deployment in your environment
Want this workflow in your stack?
We design each deployment around your systems, constraints, and rollout goals.
Contact sales