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Falcon Nest

One shared brain for every engagement your team runs.

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Falcon FDE Team

Ten seats over a shared knowledge base, with unlimited repositories, Jira, Linear and Slack integration, and reusable playbooks so a pattern solved once is available to everyone.

  • 10 engineer seats
  • Unlimited repositories
  • Shared cross-engagement knowledge base
  • Jira, Linear and Slack integration
Choose a plan

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Overview

The expensive failure mode in a delivery team is not any single engineer being slow — it is the same problem being solved from scratch on four different engagements. Falcon FDE Team fixes that by making the knowledge collective.

Every engagement contributes to a shared knowledge base: the integration patterns that worked, the client-specific quirks, the decisions and their reasons. When a colleague hits a similar wall six weeks later, the assistant already knows how your team solved it and cites the engagement it learned from. Playbooks turn recurring work — a standard data migration, a standard SSO integration — into a repeatable sequence with checkpoints.

Team also plugs into where the work is tracked. It reads Jira or Linear tickets for context, posts summaries into the right Slack channel, and can open pull requests with a delivery note attached. Repository limits disappear: connect as many as the engagement needs, and scope the index to the paths that matter on large monorepos.

  • 10 seats over one shared, growing knowledge base
  • Unlimited repositories, with path scoping for monorepos
  • Jira, Linear, Slack and pull request integration
  • Reusable playbooks for work you do more than once

Capabilities

  • Ten seats, one context

    Every engineer works against the same index and the same accumulated knowledge, so answers are consistent regardless of who asks.

  • Shared knowledge base

    Patterns, decisions and client quirks from every engagement are retained and cited, so a problem solved once does not get solved again.

  • Unlimited repositories

    Connect as many repositories as the work requires, and scope the index to specific paths so large monorepos stay fast and relevant.

  • Reusable playbooks

    Capture a recurring delivery sequence once — migration, SSO onboarding, data backfill — with checkpoints and required evidence at each step.

  • Tracker integration

    Reads Jira and Linear issues for context, writes progress back, and attaches delivery notes to the pull requests it opens.

  • Slack in the loop

    Ask questions and receive engagement summaries in the channel the team already lives in, with thread context preserved.

  • Per-engagement isolation

    Client A's code is never visible in an answer for client B. Sharing happens at the level of patterns and decisions, never raw source.

  • Delivery reporting

    See where time goes across engagements: which repositories generate the most questions, which playbooks stall, where documentation is thin.

Where it earns its keep

  • Consultancies and delivery teams

    Run six concurrent engagements without six independent learning curves, and keep quality consistent across whoever is available.

  • Repeatable implementations

    Turn your standard onboarding into a playbook so the fifth deployment takes a fraction of the time the first one did.

  • Onboarding new engineers

    A new joiner can ask the assistant why the team does something a certain way and get the actual historical reason, with citations.

  • Due diligence and audits

    Assess an unfamiliar codebase quickly for an acquisition or a technical audit, and produce an evidenced written assessment.

Questions

How is one client's code kept away from another's?
Each engagement is a hard boundary. Raw source, transcripts and citations never cross it. What is shared across engagements is the abstracted pattern or decision, and you control whether even that is shared.
Are task credits per seat or pooled?
Pooled. Eight thousand credits are shared across the team, so an engineer in an intense delivery week is not blocked while a colleague on holiday leaves credits unused.
What if we need more than ten seats?
Add seats individually with the Additional Seats add-on, which keeps the same shared knowledge base. Beyond about thirty seats, Enterprise is usually the better commercial fit.
Can it open pull requests on its own?
It can, using a credential you provision and scope. Many teams restrict it to opening draft pull requests against non-protected branches, which is the default we recommend.
How do playbooks differ from a prompt template?
A playbook is a sequence with state. It tracks which steps are complete, what evidence was captured at each one, and what is blocked — so it survives being picked up by a different engineer next week.