WhatA lightweight middleware that automatically validates, tests, and fixes AI-generated code before it reaches the developer, turning 51% benchmark accuracy into near-100% usable output.
SignalDevelopers are frustrated that even top models get code wrong 15-50% of the time, making AI coding assistants feel like Tesla FSD where you still have to pay full attention — defeating the entire purpose of using AI to save mental effort.
Why NowCoding model accuracy has plateaued around 50% on hard benchmarks while adoption has exploded, creating a massive gap between user expectations and actual reliability that no vendor is solving at the output layer.
MarketEvery developer using AI coding tools (~30M developers); $2-5B TAM as a verification layer; competes with manual review but no dedicated product exists for automated AI code correction.
MoatTraining data from millions of AI-generated code failures and their fixes creates a unique dataset for building increasingly accurate correction models.
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