Falconer

What is Falconer?

Falconer is a self-updating knowledge platform designed to act as a “source of truth” for teams that build and ship software quickly. It helps teams write, share, and find information in a single place so their internal documentation and code-related knowledge stay organized and up to date.

The platform is positioned for cross-functional use, supporting both engineering and other teams (such as sales) to rely on centralized documentation and context when answering questions, planning work, or supporting customers.

Key Features

• Self-updating internal docs: Write documentation that keeps itself organized and current, reducing the need for manual housekeeping.
• Centralized “source of truth” knowledge system: Maintain a shared repository that teams across functions can trust when they need reliable answers.
• Built for searching and asking: Use a unified memory bank to ask questions or find information across tribal knowledge, docs, and code.
• Context for coding agents: Provide important, accurate context to help coding agents produce better results.
• Integrations for existing workflows: Connect Falconer with GitHub, Slack, and Linear so teams can collaborate and keep organizational context in sync without changing how they work.
• Technical writing and information architecture support: Use industry-practice approaches to help produce and maintain reliable technical documentation.

How to Use Falconer

1. Sign up to create your Falconer workspace.
2. Connect key tools and sources you already use—specifically GitHub, Slack, and Linear—so Falconer can maintain organizational context.
3. Start by writing internal documentation directly in Falconer, aiming to cover the knowledge your team repeatedly needs.
4. As work changes, rely on Falconer’s self-updating docs and organized knowledge to keep information current.
5. Use search or ask questions to retrieve answers from the unified memory bank across docs, tribal knowledge, and code.

Use Cases

• Engineer onboarding and fast answers: New or existing engineers can ask or search for accurate context instead of repeating questions and coordinating one-off meetings.
• Documentation that stays aligned with shipping: Teams can reduce documentation drift by maintaining a central, self-updating system as new products and features are released.
• Cross-team alignment (engineering to sales): Sales and other non-engineering stakeholders can rely on a shared knowledge system to understand the product and find relevant documentation.
• Support for coding agents: Teams can improve agent-assisted development by supplying important, verified context so agents operate with the right information.
• Internal technical writing workflows: Technical writers can focus on drafting and refining content while Falconer helps handle organizational and maintenance details for internal docs.

FAQ

Does Falconer replace existing tools like GitHub or Slack?

Falconer is described as connecting to existing tools including GitHub, Slack, and Linear. The page emphasizes integration rather than replacing these tools.

What does “self-updating” mean for internal documentation?

The site states that internal docs keep themselves organized and up to date. The exact mechanisms are not detailed beyond that description.

Can Falconer be used to find information about code and tribal knowledge?

Yes. Falconer is described as having a unified, self-maintaining memory bank for tribal knowledge, docs, and code that supports asking and searching.

Is Falconer designed for use by teams beyond engineering?

Yes. The platform is positioned as reliable for teams across functions, including engineering and sales.

Alternatives

• Internal wiki/knowledge bases: Tools that store documentation in a central place (often requiring manual upkeep). These differ by relying more on authors to keep content synchronized.
• Documentation platforms with search and versioning: Systems that organize docs and allow retrieval, but may not provide the same self-updating organization described for Falconer.
• Team knowledge hubs or Q&A assistants: Interfaces focused on answering questions from stored knowledge. The distinction in positioning is that Falconer emphasizes self-updating docs and maintaining a unified memory bank connected to dev tools.
• Agent context/workspace tooling: Solutions that help provide context to AI or coding agents. These typically focus on context delivery, while Falconer also emphasizes documentation and organizational knowledge management.