Debugging & Error Detection
Most teams find out about a bug from a customer. We install the layer that catches it first: static analysis and AI review on every pull request, anomaly detection on production telemetry, and automated triage that clusters noisy alerts into one actionable cause with a suggested fix. It works on legacy code too — usually where the worst bugs are hiding.
“Alerts are noise, the same regression keeps coming back, and every incident starts with an hour of guessing.”
Typical results
Inside the engagement
Scope is tailored after the audit, but this is the standard shape of the work.
- Codebase audit covering correctness, security, performance and dead paths
- AI-assisted pull-request review wired into your existing CI
- Error monitoring, log aggregation and distributed tracing setup
- Anomaly detection on latency, error rate and business metrics
- Automated root-cause triage that groups related alerts and drafts the fix
- Regression and end-to-end test generation for untested critical paths
- Incident runbooks, postmortem templates and on-call hygiene
The stack behind this service
We are deliberately unopinionated about vendors. If you already run something that works, we build on it instead of replacing it.
Services that pair well with this one
Want debugging & qa working for you next quarter?
Book the free audit. We will show you what is currently costing you the most, what we would fix first, and what it takes to get there.
- Free 30-minute audit
- No retainer lock-in
- Reply within one business day