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Relying on AI to write code is like hiring a brilliant freelancer who never picks up your calls. They’ll deliver what you ask for—fast, impressive, maybe even flawless at first glance.
But if something breaks or behaves oddly a week later… guess who’s left cleaning up the mess? You.
When AI-generated code works, it’s great. When it doesn’t, you’re on your own.
AI is definitely capable. But accountability? Not its strong suit.
Is there a solution for AI coding assistants that create a lot of “buggy code”?
Make AI learn to fix its own mess
Alibaba built SWE-smith: an automatic bug generator + fixer that:
– Creates real bugs in GitHub repos
– Verifies them via unit tests
– Has AI agents fix them step-by-step
– Produces before/after examples at scale
Basically, don’t just have AI models generate code, but also fine-tune them to fix the bugs.
What do you think? Would this solve the problem?
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