Anthropic Computer Use and Developer Agent Quickstarts
Reference architectures and codebases showcasing how to configure autonomous agents with bash sandboxing, desktop control, and Anthropic API routing.
Image: GitHub
The weekly · Week 6 · 2 Feb – 8 Feb 2026
AI coding agents: what changed
This week focuses on practical developer agent tooling and secure execution environments, spotlighting Anthropic's Computer Use, E2B cloud sandboxes, AutoGen, LlamaIndex, and the LLM CLI.
5 picks
E2B: Secure Cloud Sandbox for AI Code Execution
An open-source infrastructure platform offering isolated, ephemeral micro-VMs designed for AI coding agents to run tests, execute scripts, and analyze data safely.
Image: GitHub
AutoGen: Multi-Agent Conversational Framework for Code Generation
Microsoft's framework for orchestrating conversable agents that write, execute, and debug code collaboratively across multiple distributed environments.
Image: GitHub
LlamaIndex: Codebase Parsing and Agentic RAG Framework
This data framework offers AST-aware code splitters and semantic retrieval indexes. It enables coding assistants to deeply understand multi-repository codebases.
Image: GitHub
LLM: Modular CLI Tool and Python Library for Developer LLMs
This is Simon Willison's CLI utility and plugin system. It facilitates piping Unix commands to language models, storing prompt histories, and running local code helpers.
Image: GitHub
Picked from public sources (GitHub, Hacker News, DEV, Lobsters, Reddit, Product Hunt) by our daily scout. Each summary uses only what the source itself says; GitHub stars are as checked on the date shown.