Your AI Software Team.

A feature enters one of two ways: promoted directly from a customer signal in Signal Explorer, carrying over its ARR context and originating request — or entered manually. Before anything is written, an agent researches your connected GitHub repositories against the request, building the codebase context every later stage relies on.

From the feature request and its codebase context, an agent composes a full Product Requirements Document — functional requirements, user scenarios, and acceptance criteria — with the codebase's real topology folded in, not written in a vacuum.

Cross-cutting calls that affect the whole feature get made explicitly: data model shape, API contract, auth strategy, storage choice, third-party integrations. Each decision records what was rejected and why, whether it follows or diverges from existing patterns, and a confidence level.

With a PRD and codebase context in place, the feature is broken into implementation specs, then each spec is expanded into concrete tasks — the unit of work a build agent actually executes, grounded in real file paths and existing patterns, not placeholders.

A build agent picks up the queued tasks and writes the code — streaming progress live with cost tracked as it goes — then vocxai opens a pull request directly in your GitHub repository, ready for review. If there's nothing to ship, no PR is opened.