Engineering leadership in the AI era — code review for AI-generated code, technical debt, testing strategy, and shipping quality software.
9 articles
2026-03-08
AI coding assistants boost speed but introduce 1.7x more bugs and up to 41% more technical debt. Learn how engineering leaders can maintain code quality...
2026-03-08
AI-generated code requires different testing strategies. Learn why standard test suites miss AI-specific issues and how to build comprehensive testing for...
2026-03-08
Managing AI coding tools across large engineering organizations requires governance, metrics, and cultural change. Learn frameworks that balance...
2026-03-08
Vibe coding—accepting AI-generated code without deep understanding—is creating a new wave of technical debt. Learn how to recognize and prevent it across...
2026-03-08
Teams using AI coding assistants without clear standards see quality decline. Learn how to build practical AI coding guidelines that maintain quality...
2026-03-08
Standard code review misses AI-specific issues. Learn a systematic AI code review process that catches security vulnerabilities, architectural violations,...
2026-03-08
AI-generated code creates unique refactoring challenges. Learn a systematic approach to identifying, prioritizing, and refactoring AI code debt across your...
2026-03-08
Developers using AI assistants are more likely to introduce security vulnerabilities and rate insecure code as secure. Learn the specific risks and how to...
2026-03-08
ChatGPT-generated code works in demos but fails in production. Understand the specific quality issues—from N+1 queries to race conditions—and how to prevent...