AI Accelerates Development, But Governance Determines Whether It Reaches Production
Over the last two or three years, I’ve watched AI-assisted development move through distinct phases. First, general-purpose chat assistants like ChatGPT as a thinking partner. Then AI completions embedded in the IDE. Then, toward the end of 2025, the frontier agentic coding models arrived, and agentic development took a real leap in quality: harnesses, orchestrated agents, raw velocity.
What came next is the part I care about most. Code volume exploded, and so did the number of problems riding along with it. I remember one of the strongest engineers on my team telling me, early this year, that he’d stopped reviewing lines of code. He was reviewing how the AI had reasoned. There was simply too much code to check any other way.
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