Engineering Management

Are AI agents driving real value or just creating expensive busywork? We explore the growing concern over 'token inflation' and offer strategies to ensure LLM usage leads to tangible outcomes rather than just process.

Explore effective strategies for ensuring engineering quality and code ownership in the age of AI, balancing automated productivity with the necessity for human understanding and accountability.

An experienced developer navigates a 10-year-old profitable company with extreme tech debt, security vulnerabilities, and a culture resistant to any modern engineering practices. Explore the clash between a drive for improvement and a management focused solely on arbitrary metrics.

Measuring individual developer productivity is a common goal, but it often backfires. Discover why focusing on team-level predictability and direct communication is a more effective strategy for engineering success.