
ReviewBench is a benchmark for evaluating code review agents, focusing on real issues raised in actual pull requests, and measures how well agents can reconstruct implicit system contracts from the surrounding code. It uses curated reviewer findings and evaluates coverage and precision, with coverage measuring whether an agent found the baseline issue and precision measuring the correctness of submitted findings. Current models still miss most curated findings, and a well-designed prompt can significantly improve agent performance.
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.

LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.

Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
