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12 articles
GitHubās example of cutting tokens in agentic CI workflows by up to 62% is not a prompt trick, but a lesson in operational discipline.
Wassette targets one of the hardest problems in the new wave of AI agents: how to let a model use third-party tools without turning every add-on into an unrestricted doorway into the system.
DeepSeek no longer wants to be just a model supplier: according to hiring posts, the company is assembling a Beijing team for its own AI coding agent.
OpenAI introduced Daybreak, a cyber AI initiative for finding and patching vulnerabilities before attackers do.
Flowiseās critical RCE flaw CVE-2025-59528 is now being exploited after the security community has had months of warning and an available patch.
Cursor 3ās Product Hunt debut touts parallel local/cloud agents and MCP supportābut the GitHub commits tell a quieter story.
Claude, ChatGPT, and Nvidiaās G-Assist can now scan your Stream Deck layout and press buttonsāif they guess your intent correctly.
Mimosa introduces an open multi-agent framework that uses MCP to discover tools, build task-specific workflows, and iteratively repair them from execution feedback.
Googleās open Colab MCP server lets agents programmatically control cloud notebooks and GPU-backed runtimes.
Google Labs has officially promoted Stitch from experiment to full AI design platform, turning plain-text descriptions into clickable UI prototypes in under 30 seconds.
LDP exposes model identity, cost, and reliability as first-class signals, making multi-agent AI look less like improvisation.
Bostonās MCP experiment shows that cities can no longer treat AI agents as ordinary visitors to public websites.
