Tutorials MCP Apps: Ship Interactive UI From Your MCP Server
Use the new MCP Apps extension to return interactive widgets from a tool call, rendered in chat.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Use the new MCP Apps extension to return interactive widgets from a tool call, rendered in chat.
Tutorials Build an async MCP tool that returns a durable task handle and poll it to completion in Python.
Tutorials Run Moonshot's 2.8T open-weight model on your own GPUs with vLLM and MXFP4.
Tutorials Point the OpenAI SDK at Meta's agent model, add tools, let it self-manage a 1M-token context.
Machine Learning Run the first 27B-class model on a phone: MLX, llama.cpp, tool calls, and the memory math.
Machine Learning Run Google's TabFM on real tabular data. No tuning, no feature engineering, one forward pass.
Tutorials Use GPT-5.6's Responses API so the model writes JavaScript to run your tools in one call.
Tutorials Install Nous Research's self-improving agent, run it on a local model, and build a reusable skill.
Tutorials Use GPT-5.6 Sol's new max reasoning effort and ultra subagents via the Responses API.
Tutorials A runnable Python governor that caps LLM spend per user and auto-downgrades models.
Tutorials Stream Gemini's thought summaries live, control reasoning effort, and track thinking-token cost.
Tutorials Cut MCP agent context up to 99% by exposing tools as a code API the model calls in code.