Ideas Weave Every Narrative with AI.
A developer built a web app using Fable 5 to analyze HN comment histories. While the model delivered eerily accurate personality assessments, the creator discovered trivial coding errors in the app itself—cache bugs, outdated APIs—proving that even top-tier LLMs need human review. The real lesson isn’t about vanity; it’s about the gap between AI’s perceived omniscience and its practical fallibility.
A single GitHub issue asking for Jujutsu support in Codex—with the meme ‘There are dozens of us. Dozens!’—reveals a counterintuitive truth: AI coding assistants should prioritize the most obscure, passionate tools over the mainstream. Supporting a niche tool signals belonging, creating fierce loyalty that no generic feature can match.
Most developers treat compilers like black boxes, but understanding the trade-offs inside them makes you a vastly better programmer. Every language feature—syntax, types, garbage collection—is a deliberate optimization problem. Learn your compiler’s language, write code it can optimize, and stop guessing why your code is slow.