Topic
Running several agents in parallel and consolidating their outputs through a judge or arbiter agent.
A dev.to write-up argues that synchronous agent chains break on restarts, slow tools and approval waits, and that the fix is an event bus plus a policy layer before any real action.
Reality
Sol and Terra can now delegate to Luna after a version mismatch blocked it. Routing moves from workaround to design, and OpenAI's version classes move into your cost structure.
Reality
A dev.to head-to-head scores single-agent and multi-agent designs on seven production criteria. Multi-agent wins scope and security isolation, and pays for it in latency, cost and glue code.
Reality
A TypeScript walkthrough of orchestrator fan-out and pipelines makes the arithmetic explicit: parallel work costs the slowest subtask, serial work costs all of them.
Reality
Sol-Luna's supervisor could have split independent modules across parallel workers. Given a free choice across six benchmark runs, it kept the work for itself every time.
Reality
A vendor writeup argues cross-family AI review fails on inputs, not model choice: the diff shows what changed, the agent session shows whether it was asked for. The evidence is one anecdote.
Reality