AI-enabled developer productivity, build systems, and engineering leadership
Posted on in Technology Management / Leadership
Turn repeated developer-workflow exceptions into evidence-backed platform investments without treating every unusual request as a product requirement.
Posted on in Technology Management / Leadership
Retire obsolete developer tooling with evidence about remaining dependencies, funded migration support, and shutdown criteria that end the dual-support burden.
Posted on in Technology Management / Leadership
Make reliable engineering work the convenient default by investing in fast checks, paved paths, visible evidence, and clear escalation boundaries for people and AI coding agents.
Posted on in Technology Management / Leadership
Use a small set of platform health signals to locate costly engineering friction, choose an intervention, and verify whether the system improved.
Posted on in Technology Management / Leadership
Backstage is already where many platform teams want developers to go for service ownership, docs, APIs, runbooks, and operational metadata. The problem is that developers do not always want to navigate a portal. Sometimes they just want to ask a question:
checkout-service?"Posted on in Technology Management / Leadership
Git is usually the first place developers look when they need to understand a system. That makes sense. The code is there. The commit history is there. The pull requests are there. If you are lucky, the README is not lying too badly.
But Git is only one layer of …
