developer experience

A 20-person team was running 14 microservices with three full-time engineers just keeping the infrastructure alive. We consolidated six of them into a modular monolith and cut their deploy time by 70%.

A client's team was drowning in a 200K-line TypeScript monolith. When we finally measured what was actually running in production, we found that almost a third of it was dead code nobody had touched in over a year.

A client's on-call rotation was burning people out — not because of real incidents, but because of noise. Here's how we cut alerts by 87% without missing anything that actually required a human.

A client's team tripled their PR output with coding agents. Six weeks later, their cycle time had doubled and nobody could explain why.

A 47-minute build pipeline had become sacred infrastructure. When we finally opened it up, we found cargo-culted steps, redundant checks, and a team afraid of their own tooling.

A tool comparison from a consulting engagement — what Biome actually delivered, where it fell short, and the decision I'd make again (and the one I wouldn't).

A consulting story about a platform engineering initiative that checked every box on paper but collected dust in practice — and the uncomfortable reasons why.

AI code review tools are everywhere now. After rolling one out on a real project, I learned more about our team than about the tool itself.

How a 45-minute end-to-end test suite trained an entire team to ignore test failures — and what we did about it.

The latest DORA report confirms what I've seen on consulting engagements — AI tools amplify existing conditions. If your processes are solid, AI accelerates you. If they're not, you just create technical debt faster.

A consulting engagement where we measured where engineering hours actually went — and discovered the biggest productivity killer wasn't what anyone expected.

A debugging deep dive into replacing wall-of-text logs with structured logging and trace IDs — and how it cut our mean time to resolution from hours to minutes.

Practical insights from months of using AI-assisted coding in real client projects — what works, what doesn't, and how it changed my workflow.