i stumbled upon this project called
axiom while browsing through some forums - seems like it tackles a big problem in the AI coding world. instead of focusing on speed, they're aiming for something more fundamental and crucial - the reliability check.
so here's what i gathered:
- smt solver (z3): this is key to verifying code correctness.
-'abstraction' ceagar: breaking down complex problems into simpler ones - kind of like solving a puzzle piece by piece.
they're building something that turns the focus from "how fast can we generate?" back around toward,
"is it right?"anyone else out there dealing with ai-generated code and its uncertainties?
i'd love to hear your thoughts on this approach!
found this here:
https://dev.to/wintrover/42-silence-what-it-means-to-control-failure-in-ai-code-verification-1nip