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Build a feature that fits how your team already builds.

Every feature has to fit the conventions, the prior decisions, and the constraints already in the codebase. Virgo hands you that context before you write. The change reads like it belongs.

orders: claude
sourcesdispatch.tsPR #3120#platformNOTIF-88
⏎ send · esc to interrupt

Show your agent the patterns the team already follows before the first commit.

Ask how the codebase already does something. The house style comes back with its reasons attached: the pattern, the guarantees, and the incident behind the rule.

orders: claude
⏎ send · esc to interrupt

Virgo links your team's code patterns to the decisions behind them.

The pattern, the rule, and the precedent all feed the same graph. The next feature starts from how the team already builds.

Your agents build with the team’s real conventions.

Conventions retrieved for the change steer the engineer’s code and the agent’s draft.

For engineers

Write to the house style already in the code.

The pattern, the delivery guarantees, and the incident behind the rule arrive before the first commit. The change drops in without a second webhook system to maintain.

  • The pattern: the outbox dispatcher and its retries.
  • The rule: never send inline, and the incident behind it.
  • The precedent: the PR and the ticket that set it.
For AI agents

The agent builds the feature your codebase wants.

A coding agent handed a one-line ticket writes a generic version of the feature. Pointed at the graph, it retrieves the pattern, the guarantee, and the constraint behind them over MCP. It writes the version that fits.

97%context retrieval accuracy

Early evaluations reached 97% context retrieval accuracy, compared with about 68% for baseline RAG or hybrid search when retrieving the team’s conventions and prior decisions before writing a feature.

Built on Context retrieval and Decision lineage