Trace a worked example

Goal: improve the software-release workflow using multi-agent systems without breaking protected slices.

Mechanism reminder for multi-agent systems: Plan roles, pass typed messages/artifacts, gate tools with permissions, converge with a stop condition, and log the whole graph.

Baseline and shock: If three agents each err 5% independently on a serial path, naive end-to-end success can fall near 0.95³≈0.86 before retries.

Tradeoff in play for multi-agent systems: Specialization can raise quality on complex workflows and raises latency, cost, and failure surfaces. Single agents are simpler when tasks are small.

Ship decision: Planner+implementer+tester with max 8 hops and human gate on production deploy; abort loops to on-call.

Rollback triggers for multi-agent systems must cite task success, hops/task, cost/task, loop rate, approval precision. If you cannot name a tolerated regression on the software-release workflow, do not promote the change.

Keep the multi-agent systems decision record beside the software-release workflow code paths that implement it. Future you will not remember why a default exists unless the evidence is linked from the config for multi-agent systems.

Also pin one numeric memory from this multi-agent systems chapter: If three agents each err 5% independently on a serial path, naive end-to-end success can fall near 0.95³≈0.86 before retries. That number is not decoration; it is a template for how claims about multi-agent systems on the software-release workflow should look in design docs. Scoped specifically to multi-agent systems / software-release workflow / worked-trace.

People confuse multi-agent systems with neighboring buzzwords when debugging the software-release workflow. Before changing prompts, ask whether the broken stage was evidence gathering, the multi-agent systems judgment itself, validation, or the product action. Fixing the wrong stage creates folklore (“we tried multi-agent systems and it failed”) that blocks the next team on the software-release workflow. Scoped specifically to multi-agent systems / software-release workflow / worked-trace.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to multi agent systems rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to multi agent systems rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to multi agent systems rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to multi agent systems rather than generic AI advice.

For multi agent systems, add acceptance test 1: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 2: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 3: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 4: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 5: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 6: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 7: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 8: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 9: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 10: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 11: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 12: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 13: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 14: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 15: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 16: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 17: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 18: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 19: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 20: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 21: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 22: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 23: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 24: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 25: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 26: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 27: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 28: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 29: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 30: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 31: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 32: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 33: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For multi agent systems, add acceptance test 34: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.