- Claude Code Best Practices \ Anthropic
This post outlines general patterns that have proven effective, both for Anthropic's internal teams and for external engineers using Claude Code across various codebases, languages, and environments
- Claude Code: Deep Coding at Terminal Velocity \\ Anthropic
There are two ways to access Claude Code: with your Claude Pro or Max subscription, or with an Anthropic Console account In both cases, you can download Claude Code using these instructions and then sign–in with your respective Claude or Console account
- Home \\ Anthropic
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems
- Tracing the thoughts of a large language model \ Anthropic
As AI systems are rapidly becoming more capable and are deployed in increasingly important contexts, Anthropic is investing in a portfolio of approaches including realtime monitoring, model character improvements, and the science of alignment
- Pricing \ Anthropic
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems
- Build with Claude \ Anthropic
Create user-facing experiences, new products, and new ways to work with the most advanced AI models on the market
- Introducing the next generation of Claude \ Anthropic
We’re excited to see what you create with Claude 3 and hope you will give us feedback to make Claude an even more useful assistant and creative companion To start building with Claude, visit anthropic com claude
- Introducing the Model Context Protocol \ Anthropic
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments Its aim is to help frontier models produce better, more relevant responses
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