Coding is 10-20% of delivery time, yet most AI strategies optimise only that step. Why speeding up code generation barely moves the needle when requirements, debugging, and cross-team coordination are the real bottleneck.

Lines of code and PR counts went up after AI adoption, and so did production incidents. Why code volume is a poor proxy for engineering progress, and what GitClear's data on refactoring decline shows instead

We optimised for code generation speed while the real bottleneck — cognitive overhead and knowing where to make changes — stayed completely untouched.

Master cloud-native observability. Learn the essential monitoring metrics, Golden Signals - errors and saturation, to keep your distributed systems reliable and fast.

Master cloud-native observability. Learn the essential monitoring metrics, Golden Signals - latency and traffic, to keep your distributed systems reliable and fast.

Discover how AI is transforming software development in Part 4 of my 'Vibe Coding' series. Explore conversational coding, code generation from prompt, and the future of developer productivity.

Discover how AI is transforming software development in Part 3 of my 'Vibe Coding' series. Explore conversational coding, code generation from prompt, and the future of developer productivity.

Discover how AI is transforming software development in Part 2 of my 'Vibe Coding' series. Explore conversational coding, real-time code generation in practice, and the future of developer productivity.

Discover how AI is transforming software development in Part 1 of my 'Vibe Coding' series. Explore conversational coding, real-time code generation, and the future of developer productivity.

Discover how creativity, curiosity, and a childlike sense can inspire innovation in software development. The blog is about lessons from Legos, real-world use-case, and the art of turning ideas into impactful solutions.