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AI for Developer Workflows
CI Triage Agent
An engineering agent designed to read failing CI logs, classify errors, reproduce failures, propose code patches, validate fixes, and open approval-ready pull requests.
THE PROBLEM
Why this exists.
CI failures create context switching: engineers must inspect logs, reproduce errors, locate the cause, patch code, rerun tests, and document the fix.
THE APPROACH
How I approached it.
The workflow turns those steps into an auditable agent loop with reproduction before remediation and human approval before finalizing a patch.
ARCHITECTURE
The system flow.
Failing CI logs
Parser
Reproducer
Fix agent
Test runner
PR artifact
Human approval
ENGINEERING SIGNALS
What to notice.
- CI log parsing
- Sandboxed reproduction
- LLM-backed patch proposals
- Test-before-PR validation
- Human approval
WHAT I LEARNED
The takeaway.
AI should enter engineering workflows after deterministic evidence gathering. Reproducing the failure before proposing a fix creates a stronger feedback loop.