AWS targets AI slop with new spec check in Kiro coding tool, amid scrutiny of agent reliability
AWS just shipped a spec-checker that catches AI agent hallucinations before they write a single line of code.

Why it matters
As AI coding agents face growing scrutiny over reliability and 'slop,' AWS is addressing the root problem—bad requirements—with mathematical proofs that validate specs before code generation. This shifts accountability upstream and could become table-stakes for enterprise AI tooling.
The key facts
4 to knowAWS Kiro adds mathematical proof-based spec validation
Feature checks for contradictions and gaps in software requirements before AI agents write code
Response to industry scrutiny over AI agent reliability and code quality
Positions requirement validation as pre-generation safety measure
Go to the source
GeekWiregeekwire.com
Publisher excerpt: Amazon Web Services is adding a feature to its Kiro AI coding tool that uses mathematical proofs to check whether software requirements contradict each other or leave gaps before AI agents start writing code.