Code Mode - FastMCP

Running Python code in a sandbox with MicroPython and WASM

I’ve been experimenting with different approaches to running code in a sandbox for several years now, but my latest attempt feels like it might finally have all of the characteristics …

Code Mode: the better way to use MCP

It turns out we've all been using MCP wrong. Most agents today use MCP by exposing the "tools" directly to the LLM. We tried something different: Convert the MCP tools into a TypeScript API, and then ask an LLM to write code that calls that API. The results are striking.

Extensible Software in the age of LLMs | Jeremy Morrell

Solid core + capability-based sandboxes + LLMs = Users with superpowers

Introducing any-llm: A unified API to access any LLM provider

When it comes to using LLMs, it’s not always a question of which model to use: it’s also a matter of choosing who provides the LLM and where it is deployed. Today, we announce the release of any-llm, a Python library that provides a simple unified interface to access the most popular providers.

DSPy Notebook - Ax LLM Framework

Build agents, not pipelines

There are only two ways to use LLMs in a computer program: as part of a pipeline, or as an agent. In other words, either you express the control flow of the program in code, or you give a LLM tools and allow it to manage the control flow itself1.

Using LLM in the shebang line of a script

This comment on Hacker News inspired me to investigate patterns for using my LLM CLI tool in a shebang line:

InternLM/lmdeploy

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

MCP servers vs. skills: Choosing the right context for your AI | Red Hat Developer

Large language models (LLMs) are efficient general-purpose tools, but they work much better when you give them the right context

Dancing mad with sandboxing

Kefka is a Go-native shell sandbox with coreutils, Python via WebAssembly, and more. Learn the works of madness that went into making this happen!

GitHub MCP Exploited: Accessing private repositories via MCP

GitHub's official MCP server grants LLMs a whole host of new abilities, including being able to read and issues in repositories the user has access to and submit new pull …

Fast and Hard Code

People pick languages differently with LLMs.

Vercel Sandbox

Vercel Sandbox allows you to run arbitrary code in isolated, ephemeral Linux VMs.

chad/whichlang

What programming language do LLMs default to when you don't tell them? A small benchmark.

Run LLMs locally on your Mac · mlx-optiq

Quantize, fine-tune and serve LLMs locally on Apple Silicon. MLX-native, no PyTorch, no cloud. On PyPI.

Introducing our Dev Mode MCP server: Bringing Figma into your workflow | Figma Blog

Today we’re announcing the beta release of the Dev Mode MCP server, which brings Figma directly into the developer workflow to help LLMs achieve design-informed code generation.