DEBUGER pairs deterministic analysis with optional AI reasoning. It never pretends certainty when evidence is incomplete.
01
Collect evidence
Error messages, stack traces, logs, code, git and deployment context — everything behind a failure.
02
Reconstruct the timeline
A chronological view of what happened before, during, and after the incident.
03
Identify root cause
Root cause is separated from contributing factors, symptoms, and secondary failures.
04
Explain with evidence
Every conclusion is traceable to specific log lines, stack frames, commits, or deployments.
05
Recommend a fix
Practical recommendations with risk, expected impact, and confidence.
06
Verify the fix
Reproduction, regression, static, and security checks — never claim fixed unless it ran.
Engineering memory
Resolved incidents become long-term knowledge. When a similar failure recurs, DEBUGER surfaces the previous incident, its root cause, and the verified resolution.
Cost-aware intelligence
Deterministic analysis runs on every investigation. AI refines the narrative only when configured, with caching and input budgets to control spend.