Insights on product thinking and engineering excellence • 8 articles published
Engineering resistance to AI tools is not a change management problem. Every complaint maps to a specific missing prerequisite. Here is how to read the resistance as a diagnostic — and the five-stage sequence that resolves it.
Median time from PR opened to first review is 22 hours. That is not review effort — it is system latency. Here is what it costs, why it happens, and what elite teams do differently.
Most founders evaluate engineering vendors on story points and velocity. Neither metric predicts whether software reaches customers. Here are the four questions — no technical background required — that reveal everything.
Most developer tools fail adoption not because they're poorly built, but because they're designed from the wrong starting point. Here's how Jobs-to-be-Done thinking explains why engineering tools succeed or sit unused — and what it reveals about AI adoption.
Your dashboards show green. Your test coverage is stable. But three threats are compounding underneath — defects, debt, and non-determinism. AI is making each one worse, faster. Here is how to see them before they see you.
The cost arbitrage that made outsourcing attractive has flipped. Three disciplined engineers with AI agents now outship 15-person outsourced teams — at a fraction of the cost, with measurably higher quality.
Most teams treat TDD as a way to verify code works. That misses the point entirely. TDD is a design tool — Red-Green-Refactor shapes architecture before implementation, and the failing test is a specification, not a verification step.
Vibe coding is productive, inevitable, and here to stay. But without guardrails — prevention, detection, and correction — it creates tech debt at warp speed. The teams that win will be the ones who vibe code with discipline, shipping fast AND shipping safely.