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Most upvoted articles from the past 30 days
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.
Stay updated with the newest content from developer blogs
Anthropic's system prompt for Claude Opus 5 addresses export control suspension and restoration, ensuring accurate responses.
GitHub Models service has been retired, causing GitHub Actions failures. The author shares how they replaced it with OpenAI API for their workflow.
AI has transformed work into a fun, creative activity by removing bureaucratic scaffolding, leading to more time building things.
Comparison of SQLite prototypes for storing compressed text revision histories using whole-blob vs chunked compression strategies.
Podcast episode discussing how to get reliable feedback for apps and games, emphasizing finding the right testers from relevant communities.
Explores the mathematical connection between DNA's helical structure and Bessel functions in X-ray diffraction patterns.
A simple range reduction method by Cody and Waite for accurately computing sine/cosine of large numbers.
AI accelerates software development, shifting bottleneck from building to deciding which solutions to adopt, risking fragmentation.
Learn how Sendable and @Sendable closures work in Swift concurrency, with code examples ensuring data-race safety.
AI gateways are becoming the control point for enterprise AI, handling identity, routing, governance, and observability.
An engineer discusses 'AI psychosis' or 'cognitive surrender' in software development, urging critical thinking when using AI tools to avoid blindly trusting AI outputs.
This article discusses how CIOs should redesign IT operating models for AI-augmented work, emphasizing centralized control with federated business ownership and clear accountability boundaries.
