Comment by normie3000
5 hours ago
> static code analysis which by definition does not find runtime bugs
I'm not sure if there's some subtlety of language here, but from my experience of javascript linting, it can often prevent runtime problems caused by things like variable scoping, unhandled exceptions in promises, misuse of functions etc.
I've also caught security issues in Java with static analysis.
The usefulness of using static code analysis (strict type systems, linting) versus not using static code analysis is out of the question. Specifically JavaScript which does not have a strict type system benefits greatly from using static code analysis.
But the author claims that you can catch runtime bugs by letting the LLM create custom lint rules, which is hyperbole at least and wrong at most and giving developers a false sense of security at worst.
> But the author claims that you can catch runtime bugs
I think you misinterpreted OP:
Every time you find a runtime bug, ask the LLM if a static lint rule could be turned on to prevent it
Key word is prevent.
Catch or prevent - linting only covers a tiny (depending on programming language sometimes more sometimes less) subset of runtime problems. The whole back pressure discussion feels like AI coders found out about type systems and lint rules - but it doesn’t resolve the type problems we get in agentic coding. The only „agent“ responsible for code correctness (and thus adherence to feature specification) is the human instructing the agent, a better compiler or lint rule will not prevent massive logic bugs LLMs tend to create like tests testing functions that have been created by the LLM for the test to make it pass, broken logic flows, missing DI, recreating existing logic, creating useless code that’s not being used anywhere yet pollutes context windows - all the problems LLM based „vibe“ coding „shines“ with once you work on a sufficiently long running project.
Why do I care so much about this? Because the „I feel left behind“ crowd is being gaslighted by comments like the OPs.
Overall strict type systems and static code analysis have always been good for programming, and I‘m glad vibe coders are finding out about this as well - it just doesn’t fix the lack of intelligence LLMs have nor the responsibility of programmers to understand and improve the generated stochastic token output