Your daily AI digest for developers — Sunday, May 31 2026
This tutorial provides a practical framework for implementing SkillNet, which allows developers to discover, install, and organize reusable AI skills for various tasks.
GitHub Copilot has introduced a token-based billing system, causing frustration among developers who find the new pricing model confusing and potentially more expensive.
Arm has released Metis, an open-source AI security framework that autonomously detects complex software vulnerabilities, surpassing traditional static analysis tools.
Gemini Spark, Google's AI assistant, automates everyday tasks like inbox management and event planning, offering developers a glimpse into the future of AI-assisted productivity.
This article explores running Python ASGI applications directly in the browser using Pyodide and a service worker, enabling developers to create more interactive web applications.
A new AI-assisted tool facilitates the migration from ingress-nginx to Higress, significantly reducing the time and effort required for such transitions.
This guide ranks leading text-to-speech models based on quality, latency, cost, and language coverage, helping developers choose the best model for their needs.
This article discusses the challenges and strategies for sandboxing AI products like Claude, emphasizing the importance of thorough documentation and containment.
Mallika Rao discusses the risks of evaluation debt in AI systems and why traditional metrics may not adequately measure AI performance.
Trajectory's new training stack for continual learning offers a significant throughput gain, enhancing the efficiency of reinforcement learning experiments.