Engineering \ Anthropic

Engineering \ Anthropic Engineering at Anthropic: Inside the team building reliable AI systems Start building Developer docs How we contain Claude across products FeaturedAs agents grow more capable, so does their potential blast radius. The engineering question is how to cap it. Here’s what we’ve learned building containment for claude.ai, Claude Code, and Cowork. An update on recent Claude Code quality reports Scaling Managed Agents: Decoupling the brain from the hands How we built Claude Code auto mode: a safer way to skip permissions Harness design for long-running application development Eval awareness in Claude Opus 4.6’s BrowseComp performance Quantifying infrastructure noise in agentic coding evals Building a C compiler with a team of parallel Claudes Designing AI-resistant technical evaluations Demystifying evals for AI agents Effective harnesses for long-running agents Introducing advanced tool use on the Claude Developer Platform Code execution with MCP: Building more efficient agents Beyond permission prompts: making Claude Code more secure and autonomous Equipping agents for the real world with Agent Skills Effective context engineering for AI agents A postmortem of three recent issues Writing effective tools for agents — with agents Desktop Extensions: One-click MCP server installation for Claude Desktop How we built our multi-agent research system Claude Code: Best practices for agentic coding The "think" tool: Enabling Claude to stop and think in complex tool use situations Raising the bar on SWE-bench Verified with Claude 3.5 Sonnet Building effective agents Introducing Contextual Retrieval Want to help us build the future of safe AI?