Prodigent

Institutional Knowledge

The understanding your engineering organisation has earned - systems, decisions, constraints, and people - and how to make it usable.

Every engineering organisation knows more than it has written down. Why a service works the way it does. Why a migration was abandoned. Who understands a particular part of the architecture. What was tried before.

Some of that lives in docs. Much of it lives in Slack threads, tickets, incident reports, and people's heads. That accumulated understanding is institutional knowledge - and most of it disappears the moment the conversation ends or someone leaves.

I know someone knows why this works this way.
- A familiar engineering frustration

Why this matters

  • Onboarding slows when context only exists in senior engineers' heads.
  • The same failed approach gets proposed again because the failure was never captured.
  • Incidents teach a lesson once, then vanish into a closed ticket.
  • AI assistants give generic advice when they cannot see your organisation's real constraints.

Make your organisation's knowledge usable

Prodigent captures and connects systems, decisions, constraints, and people - so engineers can find context instead of reconstructing it.

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