CoreStory: Garbage Context In, Garbage Code Out- Fixing AI’s Real Problem

Plenty of experienced developers don’t trust AI-generated code, and on a large codebase the agent has never understood they’re right not to.

The problem isn’t the model; it’s the missing context. Without a structured, current understanding of the codebase, agents hallucinate, duplicate logic that already exists, and introduce changes no one asked for.

This session takes the skepticism head-on and shows what changes when developers and their AI agents work from a persistent intelligence layer grounded directly in the code: fewer hallucinations, fewer regressions, and output a developer can actually review and trust.

Built for the engineer who wants AI to earn its place in the workflow, not just be mandated into it.