Multi-agent workflows often fail. Here’s how to engineer ones that don’t.

**Multi-agent workflows often fail. Here’s how to engineer ones that don’t.**

If you’ve built a multi-agent workflow, you’ve probably seen it fail in a way that’s hard to explain. The system completes, and agents take actions. But somewhere along the way, something subtle goes wrong. You might see an agent close an issue that another agent just opened, or ship a change that fails a downstream check it didn’t know existed. That’s because the moment agents begin handling related tasks—triaging issues, proposing changes, running checks, and opening pull requests—they start making implicit assumptions about state, ordering, and validation...

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