AI-powered platform that auto-generates and keeps docs in sync with your codebase, Slack, and engineering tools.
Falconer is a knowledge management platform built for fast-moving engineering teams. It connects to GitHub, Slack, and Linear to ingest your code, conversations, and tasks, then turns them into living documentation that updates itself when your codebase changes. Teams can generate onboarding guides, architecture docs, changelogs, and diagrams grounded in real code. A built-in Slack agent lets anyone ask technical questions and get cited answers without pulling in engineers. Falconer MCP also feeds accurate context into coding agents like Claude Code and Cursor.
Falconer is an AI-powered knowledge management platform designed for engineering teams. It connects to your existing tools like GitHub, Slack, and Linear to automatically create, update, and organize your team's documentation and knowledge base.
Falconer monitors your codebase and connected tools. When code changes, it flags and updates any docs that reference that code. This means your documentation stays accurate without requiring manual updates from your team.
Falconer integrates with GitHub, Slack, and Linear out of the box. Enterprise plans add integrations like Google Drive and Confluence, with additional sources being added over time.
Yes. Falconer is SOC 2 Type II certified and supports BYOK (Bring Your Own Key) so you can use your preferred AI model provider. It also offers granular document permissions to control who can access what.
Falconer MCP is a feature that connects Falconer's knowledge base to AI coding tools like Claude Code and Cursor. This gives your coding agents accurate, up-to-date project context so they can produce better results.
Yes. Falconer offers a free Starter plan to get started. The Pro plan includes additional features like the Notion integration and comes with a 30-day trial period.
Unlike Notion and Confluence, which rely on manual documentation, Falconer connects directly to your codebase and engineering tools to auto-generate and self-maintain knowledge. It is built specifically for engineering workflows rather than as a general-purpose workspace.
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