AI and Agentic Coding

AI made code generation cheap. It did not make understanding cheap. These episodes work through what actually changed.

The pattern across these conversations: AI absorbs a lot of the pain that made legacy work miserable. It can read the commits and the old tickets and explain why a system behaves the way it does, then write tests to lock that behavior in. What it does not touch is the part that actually sinks projects, which is a team agreeing on what it is building. Vague requirements produce vague systems faster than they used to.

Recent episodes get into agentic workflows, what changes when acceptance criteria are written for an agent instead of a person, and where the security exposure sits. The guide covers whether AI changes the rewrite math.