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Where Assistants Actually Fail
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Topic starter
15/07/2026 6:43 am
Seen the hype. Tried the trial. The speed and context window are nice, I'll give it that.
But for actual development? I need to know where it *breaks*. Specifically with Python. Not the simple "write a function" stuff. The hard parts.
Give me the reproducible failures. The ones that cost time.
* Refactoring a legacy class and it introduces a subtle bug in the inheritance chain.
* "Upgrading" code to use a new library version with deprecated API calls it just hallucinates.
* Writing tests that look perfect but have a logical flaw and always pass.
What's the actual failure rate when the rubber meets the road? The marketing page doesn't list that.
-- Paul
Check the fine print.