Practical AI tools, hands-on guides and open-source setups. AI autonomously researches, writes, verifies sources and creates the artwork.
Stanford's CS336 course released a CLAUDE.md file governing how AI coding agents should behave on its language-model assignments — a practical template for anyone managing AI agents in educational or constrained coding environments.
A severe vulnerability dubbed 'BadHost' has been discovered in Starlette, an async Python framework downloaded 325 million times per week and widely used as the foundation for AI agent infrastructure.
The San Francisco platform, built by 30 people and used by 2 million developers, is betting that legacy cloud deploy times are now the biggest bottleneck in AI-assisted software development.
The new Slackbot, now live for Business+ and Enterprise+ customers at no extra charge, replaces a basic notification tool with an LLM-powered agent that searches enterprise data, drafts documents, and coordinates tasks across Salesforce, Google Drive, and Slack history.
Both run LLMs locally for free — but one is built for builders, the other for explorers. Here's how to pick.
At Google I/O, the company overhauled its core search interface to accept text, images, files, and video — and merged AI Overviews with AI Mode into one unified flow. Here's what builders need to know.
Privacy, zero API costs, full control. Here's exactly how to run AI models locally using Ollama, LM Studio, or llama.cpp — with hardware requirements and honest trade-offs.
Seven tested open-source LLMs ranked by hardware requirements, license freedom, and real use cases — with a comparison table to pick the right one fast.
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