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Learn how to limit token usage in Microsoft Agent Framework using ChatClientAgentRunOptions to control API costs.
This article covers incident response, circuit breakers, and recovery patterns for rolling back AI agents in production.
Explains common failures when switching to reasoning-tier models in Azure OpenAI and how to avoid them.
Analysis of a system where AI agent failures silently triggered template fallbacks, hiding three critical bugs that made the system appear functional while broken.
Guide on setting up custom MCP servers in Claude and ChatGPT chat interfaces.
How to automate AI prompt testing and compare models using promptfoo for reliable outputs.
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26th August 2026 - Link Blog Qwen3.8-Flash-Next (via) Another open weights model from Qwen. This one is "a multimodal MoE model that also serves as an
A programmer reflects on how AI changes coding as a hobby, shifting from professional utility to personal joy and self-care.
Analysis of AI-generated code quality, discussing strengths, weaknesses, and implications for software development.
Apple announces its September 9 'Surprise and Shine' event, expected to unveil iPhone 18 Pro, iPhone Ultra, new Apple Watches, and more.
Hands-on review of ChatGPT Work's new cloud browser feature for logging into websites securely, with mixed results on Mac and iPhone.
Models know a lot about software, but we don’t really know how current that knowledge is. A model might have a knowledge cutoff of February 2026. That
A recent study of coding-agent trajectories found that 60.5% of observed documentation interaction targeted artifacts created for agents, such as inst
Learn how to download and restore the Stack Overflow database dump into PostgreSQL for practice with real-world data.
Explores the role of non-polynomial solutions to differential equations associated with orthogonal polynomials, comparing them to 'junk' DNA.
Explains the term 'ultraspherical' in mathematics, clarifying why Gegenbauer polynomials are called ultraspherical and their connection to hyperspheres.
Discussion on why DRY principle may be wrong for agent-facing documentation, advocating workflow-focused denormalized docs.
Paul Dix discusses AI's ability to write and refine 1M lines of code, producing reliable software running on millions of machines, highlighting the role of verification systems.
