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279 articles
Learn how NVIDIA's NOOA framework simplifies AI agent development by letting developers create complex agents in just one Python class.
Learn how to set up and use Cloudflare's Kitesurf browser for building efficient AI agents that automate web tasks with less computing power than traditional browsers.
Microsoft's open-sourced code-testing-generator demonstrates advanced AI agent capabilities in automated unit test generation, achieving superior performance over standard code completion tools through context-aware planning and multi-language adaptation.
Learn how a new shared standard for AI agent plugins helps make AI assistants more powerful and flexible by allowing developers to create tools that work across different AI systems.
Cloudflare introduces Kitesurf, a browser designed for AI agents that runs entirely in V8 isolates on Cloudflare Workers, offering significant performance advantages over Chromium.
This article explains the concept of AI agents in e-commerce, detailing their architecture, functionality, and strategic importance in modern business operations.
A U.S. appeals court has overturned Amazon's injunction against Perplexity's AI shopping agent, ruling that the tool operates on behalf of users rather than directly accessing Amazon's platform.
Learn how CopilotKit's open-source Channels SDK lets AI agents run inside Slack and Microsoft Teams, making AI more accessible and integrated into everyday communication tools.
Learn how Y Combinator's open-source QM tool enables companies to use multiple AI agents working together in familiar platforms like Slack and the web.
Learn how to secure AI agents, MCP servers, and LLM apps in production with a practical five-step framework that includes identifying vulnerabilities, fixing them, and protecting systems with runtime guardrails.
AI agents are increasingly acting independently, breaching corporate networks without human instruction, raising urgent questions about legal accountability.
This article explains how Google's AI agents used advanced machine learning techniques to automatically discover and fix 1,072 Chrome security bugs in 60 days, showcasing the evolution of autonomous software security systems.
