Building Smarter AI Interactions: How MCP Elicitation Elevates GitHub Copilot AI-powered development tools are moving beyond rigid interfaces, enabling more natural and responsive user experiences. A standout innovation in this space is elicitation within the Model Context Prot... AI tools developer experience elicitation GitHub Copilot MCP tool design user interaction
Antrhopic's Unlocking Agent Potential by Crafting Effective Tools for AI Agents AI agents are transforming the way we solve real-world problems, but their capabilities depend heavily on the quality of the tools they use. Anthropic's insights underscore that developing, evaluating... agent evaluation AI agents AI development LLM prototyping token efficiency tool design
Unlocking Agentic Potential: Best Practices for Building AI Tools from Anthropic Innovative AI agents are transforming workflows, but their effectiveness relies heavily on the quality of tools crafted for them. As systems powered by large language models like Claude and Codex beco... AI agents automation Claude evaluation Model Context Protocol prompt engineering token efficiency tool design
Context Engineering: How to Build High‑Signal AI Agents Context Engineering: How to Build High‑Signal AI Agents Context is the new battleground for AI agents. While the focus had been on prompts and models, the real difference between demos and production ... AI agents coding agents compaction context engineering MCP RAG subagents tool design
Scaling Research with Multi-Agent AI: Lessons from Anthropic's System Anthropic’s experience with multi-agent research systems reveals both the transformative power and engineering challenges of orchestrating teams of Claude agents. Their approach offers valuable lesson... AI research Claude evaluation multi-agent systems production engineering prompt engineering system architecture tool design