Don't fall into the anti-AI hype

AI-assisted coding has fundamentally transformed software development, with state-of-the-art LLMs now capable of completing medium-sized projects almost unassisted. The author demonstrates this through four real examples: adding UTF-8 support to a library, fixing Redis test failures, creating a pure C BERT inference library, and reproducing weeks of Redis Streams work in 20 minutes. While acknowledging concerns about job displacement and AI centralization, the author argues programmers should embrace these tools rather than resist them, as they democratize development similar to how open source did in the 90s. The focus shifts from writing code line-by-line to understanding what to build and how to architect it.