This is exactly the pattern I've been converging on. Quality gates in multi-agent workflows are the difference between "AI wrote code" and "AI shipped production-ready code."
A few things I'd add from my experience:
Gate ordering matters more than gate count. Lint → type check → unit test → integration test → security scan. Each gate filters out a class of issues so the next gate isn't overwhelmed with noise.
The review agent should be a different model or at least a different prompt than the implementation agent. Having the same agent review its own code is like asking a developer to review their own PR — they have blind spots for the same reasons.
Cost attribution per gate is underrated. Knowing that your security scan gate costs 2x more tokens than your lint gate lets you optimize the pipeline. Sometimes moving a cheap gate earlier saves expensive downstream re-runs.
The multi-agent approach also opens up a natural observability layer — each agent's output becomes a checkpoint you can audit. That's way better than trying to debug a single agent's 50-step reasoning chain.
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This is exactly the pattern I've been converging on. Quality gates in multi-agent workflows are the difference between "AI wrote code" and "AI shipped production-ready code."
A few things I'd add from my experience:
Gate ordering matters more than gate count. Lint → type check → unit test → integration test → security scan. Each gate filters out a class of issues so the next gate isn't overwhelmed with noise.
The review agent should be a different model or at least a different prompt than the implementation agent. Having the same agent review its own code is like asking a developer to review their own PR — they have blind spots for the same reasons.
Cost attribution per gate is underrated. Knowing that your security scan gate costs 2x more tokens than your lint gate lets you optimize the pipeline. Sometimes moving a cheap gate earlier saves expensive downstream re-runs.
The multi-agent approach also opens up a natural observability layer — each agent's output becomes a checkpoint you can audit. That's way better than trying to debug a single agent's 50-step reasoning chain.