Engineering enablement

Developer and Engineering Copilot

An assistant grounded in your own systems that helps engineers understand services, troubleshoot behaviour and produce documentation.

The problem

Understanding an unfamiliar service means reading code, tracing calls and finding whoever last touched it. That cost is paid repeatedly, by every engineer, for every system.

Retrieval pipeline

  1. 1

    Source content

    Documents, wikis, ticket history

  2. 2

    Ingest and chunk

    Scheduled, with permissions captured

  3. 3

    Embed and index

    Vector plus keyword

  4. 4

    Retrieve

    Filtered to the asking user's access

  5. 5

    Ground and answer

    Model reads only those passages

  6. 6

    Cite and log

    Sources shown, quality measured

How a question becomes an answer grounded in your own content, with the permission filter applied before the model ever sees a passage.

How it works

  1. 1

    The assistant indexes your repositories, architecture decision records, runbooks and service documentation.

  2. 2

    Engineers ask questions in natural language and receive answers with links to the source.

  3. 3

    It can trace a request path across services using your own architecture documentation and telemetry.

  4. 4

    It drafts documentation, runbooks and decision records from existing material for a human to review.

  5. 5

    Answers are grounded in your systems, so it does not invent APIs that do not exist.

What you should expect

  • Faster onboarding onto unfamiliar services
  • Less interruption of senior engineers for context
  • Documentation that gets written because drafting is cheap
  • Shared understanding of how systems fit together