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AI & agent development articles, rated and summarized.
Agent responsibly
★★★★☆Published: at 02:24 PMby Matthew BinshtokLearn how to responsibly use coding agents in development. Discover the risks of blindly deploying agent-generated code and strategies for safe deployment.
- Published: at 01:29 PMby Morgan Linton
Discover why a lengthy AGENTS.md file might hinder your coding agent's performance. Learn to optimize it by focusing on essential, project-specific details.
- Published: at 07:44 AMby Unknown
Learn how to minimize hallucinations in Claude, ensuring more accurate and trustworthy AI-driven solutions. Explore strategies like allowing 'I don't know' responses.
- Published: at 08:14 AMby Kyle Gach
Learn how Storybook MCP enhances AI agents with component metadata, enabling them to reuse components, self-verify with tests, and generate UI faster.
- Published: at 09:12 AMby Jim Clyde Monge
Learn about NVIDIA's NemoClaw, a security-focused runtime layer for OpenClaw that enhances the safety of autonomous agents by enforcing strict policies.
- Published: at 08:53 AMby Unknown
Explore GPT-5.4 mini and nano, OpenAI's new small models designed for speed and efficiency. Learn about their capabilities in coding, reasoning, and tool use.
- Published: at 10:37 AMby Unknown
Discover Mercury 2, Inception's new diffusion-based language model, offering >5x faster reasoning and real-time performance for production AI applications.
- Published: at 02:13 PMby Unknown
This article argues that the Model Context Protocol (MCP) is unnecessary and that CLIs offer a superior, more practical approach for LLMs to interact with tools.
- Published: at 05:08 PMby Addy Osmani
Discover a structured approach to AI-assisted coding for 2026. Learn how to plan, scope, and test with LLMs for efficient and accountable software development.
- Published: at 04:48 PMby Boris Tane
AI agents have collapsed the traditional SDLC. The new workflow is a tight loop of intent, build, and observe, emphasizing context engineering and observability.