私はリバース・ケンタウロスではない
約1年前、筆者はLLMによるコーディングは自分には合わないと述べたが、現在はオープンソースプロジェクトへのコントリビューションの大部分がLLM生成コードとなっている。Cory Doctorowが「リバース・ケンタウロス」と呼ぶ、機械に操られる人間になることに抗い、その立場を拒否する決意を綴る。
約1年前、筆者はLLMによるコーディングは自分には合わないと述べたが、現在はオープンソースプロジェクトへのコントリビューションの大部分がLLM生成コードとなっている。Cory Doctorowが「リバース・ケンタウロス」と呼ぶ、機械に操られる人間になることに抗い、その立場を拒否する決意を綴る。
The author, who once advised his sister to use code libraries without fully understanding them, now finds himself unable to commit AI-generated code he doesn't fully comprehend. He recounts spending 10 hours fixing code that an LLM produced in 12 minutes, and notes that while others trust AI code generators like a car engine, his need to understand every line negates any productivity gains.
The article argues that many single-page app developers misuse divs or buttons with onclick handlers instead of proper anchor tags for navigation, breaking browser history, accessibility, and native link features. The author urges using native `<a href>` elements or framework Link components.
The article argues that disallowing trailing (or leading) separators in languages like JSON, Haskell, and Prolog was a design mistake, as it makes adding or removing elements more complex. It highlights languages like Python, Go, and Alloy that permit trailing commas, and notes potential parsing ambiguities when trailing separators are used in control-flow contexts.
The article argues that Lucas Costa's concept of "backpressure" for systems handling code-generating AI is a misnomer. Backpressure signals upstream processes to slow down, while Costa's suggestions are about improving quality, not reducing quantity. The author proposes "lean manufacturing" as a more accurate analogy for managing unstable inputs from AI-generated code.
The article explains that the Windows thread pool is optimized for throughput rather than low latency, which can cause delays in task execution. It discusses the trade-offs between throughput and latency when scheduling work on thread pools.