Insights
Practical writing on engineering, AI deployment, growth, and compliance.
Many teams don’t fail at building AI — they struggle to deploy it with the controls needed for safety, cost, and reliability.
Unstructured interviews reward confidence, not competence. Structure makes hiring fairer and more predictive.
On-call is a product. If it’s painful, it’s because the system is broken — not your engineers.
Onboarding isn’t orientation. It’s a delivery plan with context, access, and measurable outcomes.
The goal of code review isn’t gatekeeping — it’s risk reduction and shared ownership.
Practical engineering steps that commonly support GDPR-aligned data flows — without blocking product delivery.
Many A/B tests generate noise because the design is under-specified. Here’s a framework that produces useful answers fast.
Feature flags help you decouple deploy from release — reducing risk while increasing delivery speed.
CVs are imperfect predictors. Here are practical signals we’ve found more useful when assessing engineering performance.
Without logs, metrics, and traces, incidents become guesswork. Here’s how to get useful signal fast without a platform team.