> ## Documentation Index > Fetch the complete documentation index at: https://docs.weaveos.com/llms.txt > Use this file to discover all available pages before exploring further. # Introduction > Weave is an engineering intelligence platform that measures engineering output, code quality, and the impact of AI coding tools Welcome Weave is an engineering intelligence platform. It combines large language models and domain-specific machine learning to understand engineering work: how much work was done, how good it is, and how AI contributed. Of all the metrics in Weave, [code output](/metrics/code-output) is the most important. It's our algorithm for measuring engineering productivity, unlike lines of code or PR counts, it understands the meaning and impact of every change. ## What Weave measures * **Engineering output and delivery** — [code output](/metrics/code-output), [PR cycle time](/metrics/pr-cycle-time), review turnaround, task delivery, and deploy metrics, by team, person, or repository * **Code quality** — review depth, [code turnover](/metrics/code-turnover), reverts, and bugs introduced * **AI coding tools** — adoption, AI-written code, cost, and output for tools like Claude Code, Cursor, Codex, and GitHub Copilot, plus coding agents ([AI tools overview](/ai-tools/overview)) * **AI return on investment** — AI spend next to the output it produced, in the [AI ROI report](/reports/ai-roi) * **Where engineering time goes** — work by project and initiative, including [R\&D capitalization](/reports/rd-capitalization) ## Connect your data Weave reads from the tools your team already uses: * [Code platforms](/code-platforms/overview) such as GitHub, GitLab, Bitbucket, Azure DevOps, and Gerrit * [Project management](/project-management/overview) such as Linear, Jira, and Asana * [AI coding tools](/ai-tools/overview) and [CI/CD platforms](/ci-cd/overview) * [Slack](/communication/slack) for reports and the [Wooly](/features/wooly-ai) assistant Start with [connecting your data](/tutorials/connecting-your-data), then explore the [reports](/reports/overview). ## Use Weave from your AI tools * The [Weave MCP server](/integrations/mcp) (Model Context Protocol) lets Claude, Cursor, and other MCP clients query your Weave metrics directly. * [Weave Router](/router/overview) is one managed endpoint that picks the right model for every request from your coding agent. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.