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  5. Taking a look under your agent’s hood
Taking a look under your agent’s hood
FRESH PICKS

Taking a look under your agent’s hood

Ryan is joined by Yanbing Li, Chief Product Officer at Datadog, to talk about applying observability to non-deterministic AI agents, blurring the boundaries between software development and production workflows, and navigating emerging…

AI for developmentStack Overflow BlogPublished: October 9, 2026
AI for development
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AI for developmentStack Overflow BlogOct 8, 2026

Part 5: Operating an LLM system: observability, cost, routing, and the platform underneath

Your service can be 100% up and still quietly approving the wrong things, burning its budget, or failing over into untested quality. Level 5 is the infrastructure that lets you see your decisions, bound your spend, route and fail over…

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AI for development
AI for developmentStack Overflow BlogOct 7, 2026

Part 4: Safety and governance for LLM systems: guardrails, PII, audit, and memory

Part 4: Safety and governance for LLM systems: guardrails, PII, audit, and memory

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AI for development
AI for developmentInfoQOct 7, 2026Content in its original language: Portuguese

Survey Finds AI-Generated Code Increases Debugging and Failure Rates and Creates a Comprehension Gap

A survey conducted by independent research firm Coleman Parkes on behalf of Undo, a company focused on scaling AI-powered root-cause analysis, found that while AI coding agents have accelerated code generation, they have shifted the…

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