Insights

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.

Rehost, replatform, refactor, rearchitect, rebuild, or replace with SaaS. How technology leaders choose a modernization strategy based on business value.

Modernization rarely stalls because of the technology. It stalls because change feels risky. This article makes the case for containerization as a practical, low-risk first step — one that stabilizes environments, makes deployments repeatable, and clears the way for real modernization without rewriting a single line of code.

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.

A phased migration, 150+ refactored components, and AI-assisted acceleration — here's the approach that made a complex modernization predictable and controlled.

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.