Langchain is a publication focusing on programming languages, language design, and compiler development. Readers can explore articles covering topics such as language features, syntax design, and compiler optimization techniques. Additionally, they can learn about programming language theory, language implementation challenges, and practical applications of language design principles.

LangChain

AI agents increasingly need isolated workspaces (sandboxes) to run code safely. Two architectural patterns exist: running the agent inside the sandbox (mirrors local development, tight coupling, but requires API keys in sandbox) or running it outside with the sandbox as a remote tool (faster iteration, better security, cleaner separation, but adds network latency). The choice depends on coupling needs, iteration speed requirements, and security preferences. LangChain's deepagents framework supports both patterns with simple configuration.

The two patterns by which agents connect sandboxes