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What's left for infrastructure-as-code after AI moves in? Agent orchestration is so two-years ago When the sensor starts thinking: SnortML, agentic AI, and the evolving architecture of intrusion detection The good, the bad, and the AI apps How do you turn AI coding chaos into a repeatable playbook? Why intent prediction needs more than an LLM Paging Charity! How can engineering leaders avoid becoming Bond villains? Code isn’t the only thing causing your production failures Your AI shipped a backend that boots. That is the whole problem. The 2026 Developer Survey is now open (for human developers only)! Oh the places you’ll go with spatial data Dispatches from O'Reilly: From capabilities to responsibilities You don’t understand DNS like you think you do The new bottleneck - Stack Overflow AI agents are a confused deputy with the keys to your kingdom If context is king, architecture is the castle Selenium vs Cypress vs Playwright: Choosing Your Test Automation Framework Designing CherryScript: Optimizing Data-Driven Workflows via Custom Python-Based Interpreters Paging Charity? How do I get my leaders to stop running teams Into the ground? Developers are emotionally attached to their tools When the cost of code approaches zero, what does engineering leadership look like? Announcing Stack Overflow for Agents Creating checkpoints by gaslighting a Postgres database What can 500 years of journalism teach developers about AI trustworthiness? Making the OWASP top ten in the vibe code era What it takes to be a player in the international AI game Best of the Heap: First post of the past The find out stage of AI is just supply chain and password protection In an AI world, the most valuable developers will be both artisans and builders Agents on a leash: Agentic AI remains mostly single-agent and monitored at work Do you have what it takes to run AI in production? Dispatches from O'Reilly: The accidental orchestrator Breaking your AI storage bottlenecks Coding agents are giving everyone decision fatigue Pack your agentic stack in Slack Your fridge could be a threat to national security Interviews aren’t about you (sorry) “You can't vibe code scale”: What the AI hype gets wrong about software engineering No Dumb Questions: What is cloud computing and why is everyone doing it? Observability and human intuition in an AI world
Building more than just an agent harness
Phoebe Sajor · 2026-07-10 · via Stack Overflow Blog

Live from Microsoft Build, Ryan is joined by Jay Parikh, Microsoft’s VP of AI Core, for a conversation on what enterprises need to build, deploy, and run AI agents at scale with demonstrable ROI; how Microsoft built an end-to-end agent development system that goes past just the harness; and how you can evaluate for reliability and correctness in models that get more intelligent and autonomous everyday.

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This episode was recorded at Microsoft Build. Learn more about the announcement and news from Build, including Microsoft’s new GitHub app and Foundry platform, at the Microsoft blog.

Connect with Jay on LinkedIn.