Llm

Nono is a new lightweight sandboxing tool that takes advantages of native Linux and macOS kernel-level isolation controls to wrap Claude Code and other agentic coding harnesses (or any process) and prevent them from deleting your home directory or dropping your database.

OpenAI engineer Ryan Lopopolo writes in Harness engineering: leveraging Codex in an agent-first world on how to effectively use coding tools by managing context.

Thariq Shihpar, an engineer at Anthropic, breaks down how Prompt caching is everything in building LLM apps such as Claude Code.

Chris Lattner, who created projects like LLVM that back modern open-source compilers, reflects on What the Claude C Compiler Reveals About AI Coding.

Michael Bolin provides a detailed explainer Unrolling the Codex agent loop | OpenAI on the OpenAI blog.

Zoë Hitzig writes that OpenAI Is Making the Mistakes Facebook Made. I Quit.

Harper Reed documents his current LLM codegen workflow: effectively using LLMs in an agentic way via different prompts. He first uses an architect and then a project planner and finally a software engineer.

Declan Chidlow expresses concern that AI is stifling tech adoption.

Jon Keegan notes in Sherwood News that A free, powerful Chinese AI model just dropped — but don’t ask it about Tiananmen Square, exploring what chain-of-thought models reveal about the perspectives encoded in their training.

Simon Willison summarizes key learnings about LLMs in 2024.