I’ve Been Using AI to Code for 4 Years. Here’s Why Most Engineers Are Doing It Wrong
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A few years ago, GitHub Copilot quietly changed my daily work. Then Cursor arrived, and I realized we were standing at the edge of a massive shift. Today, nearly half of new production code is AI-generated. The problem? Most engineers are stuck in one of two failure modes: treating AI like an infallible oracle, or rejecting it completely. I wrote The Wielder’s Edge for the third group: engineers who want to move past hype and autopilot. This book gives you the mental models, architecture…
1Key Takeaways
- A few years ago, GitHub Copilot quietly changed my daily work.
- Then Cursor arrived, and I realized we were standing at the edge of a massive shift.
- Today, nearly half of new production code is AI-generated.
- Most engineers are stuck in one of two failure modes: treating AI like an infallible oracle, or rejecting it completely.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that a few years ago, GitHub Copilot quietly changed my daily work.
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