Keep the knowledge when the people move on.

Spectrum extracts what your team knows from the code, commits, issues, documents, and conversations they already produce. New teammates find answers on day one, and the knowledge stays when an engineer leaves.

Sound familiar?

Typical time to productivity on a legacy codebase is 3 to 6 months.

Someone leaves, knowledge leaves

Decisions, undocumented constraints, and history go with them, and the team spends months rebuilding what was lost.

Someone joins, nobody has time

A new hire faces years of decisions with no guide, reads outdated wikis, and interrupts senior engineers.

Bus factor of one

For critical subsystems, the number of people whose departure blocks the project is often one.

An AI agent on the repo is not enough

Claude Code or Codex can explain what the code does today. It cannot explain why it was built that way, what the ticket said, or what the person who left knew, and every new hire's agent starts from zero.

What you get

Onboarding from day one

New teammates ask how any part of the system works and get the answer with evidence. Along the way they learn where each kind of information lives, without waiting for a senior engineer to be free.

Archeology: why was this built this way

Spectrum reconstructs decisions from commit history and tickets. A question like "Why does this service call a third-party API?" is answered from the record, not from whoever still remembers.

Knowledge that does not depend on a person

Facts stay in the context layer with full attribution after their author leaves. The rest of the team finds them through the same search and gets the same answers.

Before / After

What makes this work