Service · Diagnose
Advanced debugging and failure analysis
Intervention on software, pipelines, containers, automations and AI systems when the problem isn't immediately visible: intermittent errors, non-deterministic behaviour, integration bugs, regressions, fragile dependencies or deployment failures. Not "try random fixes", but build a diagnosis: symptom → hypothesis → experiment → evidence → fix → verification.
Every bug is a hypothesis to falsify. A patch is not enough: you must show why the problem happens and why the fix eliminates it.
When it fits
When it fits
When a system works "except in some cases" and no one knows which. When the CI/CD pipeline fails non-reproducibly. When an integration drops under load but not in testing. When AI-generated or AI-modified software passes tests but fails in production. When you need to isolate the root cause before touching the code.
What I actually do
What I actually do
- Log and trace analysis on distributed systems
- Container debugging · orchestration issues
- Failure analysis of ETL or ML pipelines
- Non-reproducible CI/CD problems
- Bugs on AI-generated or AI-modified software
- Regressions after refactoring or migration
- Dependency · build · version issues
- Runtime errors · memory leaks · race conditions
What I deliver
What I deliver
- Structured diagnostic report (symptom → root cause)
- Reproducible tests that isolate the bug
- Chain of evidence (logs, traces, metrics)
- Fix documented with proof of effectiveness
- Preventive recommendations for similar issues
- Documentation that stays consultable by the team
Method
Method
Every bug is treated as a hypothesis to falsify. AI helps rapidly explore possible causes, read voluminous logs, compare behaviours, generate targeted tests. Technical judgment decides which hypotheses are falsifiable and how to test them, discarding those refuted by evidence. The result is not just "the bug is gone": it's a defensible explanation of what was happening and why the fix eliminates it.
Want to figure out if advanced debugging and failure analysis fits your case?
An initial assessment clarifies scope, effort, expected evidence and acceptance criteria. No generic presentations.