CoreStory: Garbage Context In, Garbage Code Out- Fixing AI’s Real Problem @MicrosoftReactor
CoreStory: Garbage Context In, Garbage Code Out- Fixing AI’s Real Problem  @MicrosoftReactor
Uploaded September 2026 | Updated September 2026, 2 weeks ago
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.

00:00 Welcome & Session Introduction
00:55 Why Enterprise IT Struggles to Trust AI-Generated Code
04:16 The Complexity of Modern Enterprise Software Estates
06:23 Four Major AI Agent Failure Modes
09:12 What Teams Need: Persistent, Shared & Grounded Context
11:22 CoreStory's Solution: Persistent Intelligence Layer
13:43 The Four-Step Process: Explore, Inject, Project & Certify
15:57 Polymorphic Agents and Cross-Language Understanding
21:43 Trust, Traceability & the Trust Engine
24:45 Real-World Results, Key Takeaways & Q&A

Series Info - https://aka.ms/StartupSpotlight/S-1443



[eventID:27460]
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CoreStory: Garbage Context In, Garbage Code Out- Fixing AI’s Real Problem

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