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This article addresses the critical challenge of evaluating AI coding agents by establishing a rigorous framework to verify their selection of SDKs, versions, and authentication patterns rather than relying on superficial output checks. It details how organizations can diagnose agent failures caused by outdated training data and implement specific fixes in documentation or tooling to ensure reliable integration with proprietary technologies.

Source coveringMicrosoft Developer Center

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Introducing the Agent Experience (AX) Practitioner Playbook

Microsoft Developer CenterOctober 9, 20265 min read

AI coding agents now pick the SDK, the version, and the pattern for your developers. The AX Practitioner Playbook is our method for finding out whether they get your technology right, and for fixing the sources they rely on when they don't.

The AX Practitioner Playbook is our method for evaluating what AI coding agents do with your technology, diagnosing why they get it wrong, and fixing it at the source. It puts everything we’ve learned from hundreds of agent sessions in one place. Download it at aka.ms/ax-playbook. Ask a coding agent to build something with the technology you work on, and watch what happens. It generates code that looks reasonable and might even compile. Look closer and you’ll find the wrong SDK version, a deprecated authentication pattern,…

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