Hacker News front pageJul 7, 2026, 23:11 UTC+8

Automating away LLM clumsiness with deterministic tools

Automating AI Away

The author finds that even brilliant LLMs like Claude remain imprecise and non-deterministic—committing the build/ dir twice, for example. The fix is sandwiching the LLM between fast, deterministic tools and formal workflows: automate repeated actions into scripts, automate verification for recurring failures. Beagle SCM lets LLMs script their own routines in JavaScript, with heavy lifting in C and a malleable JS tooling layer, so the model essentially automates itself away.

Why it matters: A hands-on reflection from a developer building with Claude. Uses a concrete failure (committing build/ twice) to argue for sandwiching LLMs between deterministic tools and workflows. Not scored higher because it's a sharp engineering essay, not a product launch or research re...

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Take

This one's worth opening because of a specific clumsy moment: Claude committed the build/ directory twice while the author was building Beagle SCM. His argument is that this imprecision isn't about model intelligence—it's baked into how LLMs work, and it won't go away as they improve.

The fix is sandwiching the model between two deterministic layers: fast, reliable C tools below, and strict workflow scripts above. Repeated actions get scripted into automation. Recurring failures get automated verification. In Beagle SCM, the LLM writes its own routines in JavaScript while the heavy lifting stays in C—the model essentially automates itself away.

The idea isn't new, but the author makes it concrete with his own debugging scars. One thing I'd flag: the claim that models will get smarter but never precise is a strong absolute statement, and the post doesn't back it with more than developer intuition.

Source: Hacker News front page · replicated.live
Published: Jul 7, 2026, 23:11 UTC+8 · Jul 7, 2026