The protocol was the easy part. Getting an LLM to call the right tool with the right arguments took far longer, and almost all of the fixes were words rather than code.
Building an MCP server in Python: what I learned about tool design
The protocol was the easy part. Getting an LLM to call the right tool with the right arguments took far longer, and almost all of the fixes were words rather than code.
Stop letting AI agents hallucinate test failures and create infinite retry loops in your CI pipeline. Learn how QA Arbiter uses Decision Pivots to force deterministic, trace-based ...
We just merged a complete overhaul of how oh-my-agent manages MCP processes. Previously, every agent...
A guided tour of spatial reasoning in VLMs — from BLINK's perception gap to GR3D — read through one lens: the representational mismatch between language tokens and continuous 3D ge...