Weights & Biases
The AI developer platform
AI developer platform for tracking machine learning experiments, managing models and datasets, and evaluating AI applications.
Recent stories
Gemini Managed Agents can spin up a sandboxed Linux environment with code execution, web access, and file I/O from one API call, and early examples now include W&B and LlamaIndex workflows. That gives builders a higher-level runtime for long tasks while third-party templates start to define the first production use cases.
Weights & Biases released an MCP server that exposes experiment data to Claude Code, Cursor, Codex, Gemini CLI, and Le Chat. The schema-first design helps agents inspect available metrics before pulling rows, which can prevent preview runs from overflowing context windows.
IBM released Granite 4.1 as three open instruct models, with third parties quickly surfacing token-efficiency and deployment access. The update matters for teams evaluating smaller open models for agent workloads where output-token burn and openness both affect production cost.