If you're leading an engineering team or making technology decisions right now, you've probably heard every possible opinion about AI coding tools — from "it will replace half your developers" to "it's a toy that produces garbage code." The truth, as usual, sits in the messy middle. AI is genuinely useful in software development, but only when applied to the right problems, with the right guardrails, and with realistic expectations about what it can and can't do. This post is a practical guide for leaders who need to make real decisions: where to invest, where to hold back, and how to roll AI tools out without creating new risks for your team. Why This Decision Matters More Than It Used To A few years ago, "should we use AI coding assistants" was a nice-to-have question. Today it's closer to a strategic one. Your competitors are almost certainly experimenting with AI-assisted development. Your engineers are probably already using...
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