Run multiple AI coding agents from one spec-native workflow.
Multi-agent execution works when every participant has clear scope. fabriqa.ai turns a spec into task boundaries, routes work across agents, and keeps progress, handoffs, and reviews visible to the team.
Where it shows up
Three workflows that get easier with spec-backed execution.
Spec → backend, frontend, tests, review.
Break a feature spec into parallel lanes without losing the shared intent. Every agent's work traces back to the same acceptance criteria.
Explore implementations under fixed criteria.
Let agents explore implementation paths while the spec preserves what counts as success. Review checkpoints catch drift before merge.
The right tool for each step.
Claude Code for the architecture pass, Codex for the test sweep, GitHub Copilot or Cursor for implementation support, Kiro for spec checks, OpenCode for review. One timeline.
Operating pattern
Built for repeated delivery, not one-off prompting.
Teams should not have to remember which agent did what, which tool has the latest context, or whether a change still matches the original goal.
fabriqa.ai keeps multi-agent coding workflows tied to a spec so execution can be repeated, reviewed, and improved over time — not re-discovered from scratch every sprint.