# Multi-Agent Coding Workflows

> fabriqa.ai helps engineering teams run spec-native multi-agent coding workflows across implementation, testing, review, and delivery.

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.

## Workflows That Get Easier

### Feature build

Break a feature spec into parallel backend, frontend, test, documentation, and review lanes without losing shared intent. Every agent's work traces back to the same acceptance criteria.

### Refactor and verify

Let agents explore implementation paths while the spec preserves what counts as success. Review checkpoints catch drift before merge.

### Cross-provider execution

Use the right tool for each step: Claude Code for architecture, Codex for test sweeps, GitHub Copilot or Cursor for implementation support, Kiro for spec checks, and OpenCode for review. Keep one timeline.

## Operating Pattern

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.

## Related Pages

- [Spec-driven development](https://fabriqa.ai/spec-driven-development.md)
- [AI agent orchestration](https://fabriqa.ai/ai-agent-orchestration.md)