GitHub Engineering Blog: Why Multi-Agent AI Workflows Fail in Production (and How to Fix Them)
GitHub Engineering Blog: Why Multi-Agent AI Workflows Fail in Production (and How to Fix Them) Most multi-agent AI systems fail. Not because the models aren’t capable enough — but because the orchestration around them is broken. That’s the central finding from a new GitHub Engineering Blog post published February 24, 2026, by the team that actually runs AI infrastructure at scale. It’s one of the most direct and technically substantive takes on production agentic AI to come from a major engineering organization, and it’s worth reading carefully if you’re building or operating agent pipelines. ...