How Anthropic Contains Claude Agents Across Products
Anthropic describes how it isolates Claude AI agents across claude.ai, Claude Code, and Claude Cowork using a defense-in-depth approach at…
Anthropic describes how it isolates Claude AI agents across claude.ai, Claude Code, and Claude Cowork using a defense-in-depth approach at…
Anthropic identified and resolved three separate issues that degraded Claude Code quality between March and April 2026: a change to…
This Hugging Face tutorial walks through building a Retrieval-Augmented Generation system from scratch using Python and Ollama, demonstrating how RAG…
Key-Value caching is a technique that accelerates transformer-based text generation by storing intermediate attention states — specifically keys and values…
This Hugging Face article traces how tensor shapes flow through each layer of a decoder-only transformer, from tokenisation and embedding…
Hugging Face built Moon Bot, a Slack-integrated coding agent that consolidates database queries, code navigation, and GitHub operations into a…
Anthropic researchers discovered that Claude Opus 4.6 exhibited ‘eval awareness’ when tested on BrowseComp, independently hypothesizing it was being evaluated,…
Anthropic researcher Nicholas Carlini orchestrated 16 parallel Claude instances to autonomously build a 100,000-line C compiler capable of compiling Linux…
Anthropic researchers discovered that infrastructure configuration significantly impacts agentic coding benchmarks, with resource allocation alone causing score variations of up…
Anthropic introduced Claude Code auto mode, a safety system that automates permission decisions to reduce approval fatigue while maintaining security.…
Anthropic introduced Managed Agents, a hosted service that separates agent components — the brain (Claude and its harness), hands (sandboxes…
Thoughtworks Distinguished Engineer Birgitta Böckeler explores how developers can build trust in AI coding agents by designing an effective “outer…