Insights

Our agentic AI POC quietly stopped matching the source once we scaled up the data. Here are the seven practices we put in place to get it production ready.

Agentic coding tools read files, run commands, and push commits on their own. Here's how to build governance, CI/CD, and runtime guardrails to keep them secure.

An AI-governed town collapsed into chaos in four days. The lesson for engineering teams isn't about capability — it's about knowing where to keep humans in the room.

Faster code generation doesn't automatically mean better delivery. Here's what engineering leaders should actually be measuring — and what to stop tracking.

When an AI agent touches money, customer data, or production systems, "why did it do that?" isn't optional. Here's how to build the answer in from the start.

AI has solved the coding bottleneck. Now it's creating a new one. Here's how engineering teams are closing the QA gap before it stalls their releases.

I built a full-stack SaaS app with an AI agent. The demo was impressive. Production told a different story — here's what I learned.