Microsoft's SkillOpt: a training loop for agent skills
A post titled 'Engineering Agent Skills at Scale' discusses the development and scaling of agent skills, likely covering methodologies and practices for building robust AI agents. The content is shared via a link to stefanhaas.dev, indicating a detailed article or guide.
A post titled 'Engineering Agent Skills at Scale' discusses the development and scaling of agent skills, likely covering methodologies and practices for building robust AI agents. The content is shared via a link to stefanhaas.dev, indicating a detailed article or guide.
Microsoft launched a Copilot 'super app' aimed at business customers, serving as a central interface for chatting with AI bots, task assistance, and code writing. Its new Autopilot feature adds agentic capabilities, letting AI act on tasks autonomously. It targets enterprises wanting capable AI tools in one place.
Microsoft launched a Copilot 'super app' aimed at business customers, serving as a central interface for chatting with AI bots, task assistance, and code writing. Its new Autopilot feature adds agentic capabilities, letting AI act on tasks autonomously. It targets enterprises wanting capable AI tools in one place.
SkillPreflight is a tool that evaluates AI agent skills before they are installed, providing a score to help users assess quality and safety. It uses LLMs to analyze skill descriptions and code, addressing the problem of installing untrusted or low-quality skills in agent frameworks.
SkillPreflight is a tool that evaluates AI agent skills before they are installed, providing a score to help users assess quality and safety. It uses LLMs to analyze skill descriptions and code, addressing the problem of installing untrusted or low-quality skills in agent frameworks.
Skill Evolution is a system that enables AI agents to improve their skills through a feedback loop. It uses LLMs to generate and refine skills based on performance feedback, helping agents adapt and perform better over time. This is useful for developers building autonomous agents that need to learn from experience.
Skill Evolution is a system that enables AI agents to improve their skills through a feedback loop. It uses LLMs to generate and refine skills based on performance feedback, helping agents adapt and perform better over time. This is useful for developers building autonomous agents that need to learn from experience.
Seed is a minimal, self-modifying agent harness released on GitHub. It provides a lightweight framework for building agents that can modify their own code or behavior. The project aims to simplify the development of self-improving AI systems.
Seed is a minimal, self-modifying agent harness released on GitHub. It provides a lightweight framework for building agents that can modify their own code or behavior. The project aims to simplify the development of self-improving AI systems.