Engineering and IT
AI tools for engineering teams work best when they reduce toil and context-switching, not when they try to replace engineering judgment. The goal is to keep developers in flow.
Quick wins
Things you can prototype in a single sprint.
Code review assistance
Flag common issues, suggest improvements, and ensure style consistency before human reviewers spend time on the basics.
Incident triage and routing
Classify incoming incidents by severity, affected systems, and likely root cause to speed up response times.
Documentation generation
Generate API docs, runbooks, and README files from code comments, commit messages, and existing documentation.
Strategic opportunities
Investments that deliver transformative value.
Infrastructure monitoring and prediction
Predict capacity issues, performance degradation, and potential outages before they impact users.
Test generation and maintenance
Generate unit and integration tests from specifications, and flag tests that have become stale or redundant.
Real examples from my work
Related writing
Related use cases
Want to explore engineering and it AI for your organization?