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For engineering teams

Onboard a new developer in days, not weeks

Hand a new hire a guided tour of the codebase their AI assistant actually understands.

The problem

A new engineer spends the first weeks just learning where things live. Point them at the whole repo in an AI tool and the signal drowns in noise, and the context window fills with files that do not matter.

AreasTask contextCollectionMCP
IngestMD Task context building an onboarding pack

How it works

  1. 01

    Map the codebase

    Run Areas to split the repo into its real subsystems, so its shape is clear at a glance.

  2. 02

    Build an onboarding pack

    Use the Task recipe to assemble a high-level tour: entry points, architecture, and the key modules, packed to a budget.

  3. 03

    Hand it over

    Export it as a Collection or serve it over MCP, so the new hire asks questions and gets answers grounded in the real code.

Result. Day-one questions get real answers from the codebase instead of generic guesses.

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Keep going

More you can do

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Pull a whole space into clean Markdown, then let NotebookLM turn it into an audio overview or a deck.

Fix a bug without drowning the model in the whole repo

Discover the area that owns the bug, and load only that subsystem into your AI over MCP.

Get an AI review that sees the whole picture

Bundle your git changes, their tests, and what depends on them, behind a review prompt.

Make sense of a pile of spreadsheets and invoices

Turn XLSX, PDF, and Word files into clean Markdown tables an AI can actually read.