Failure Mode Weekly — Page 2

Framework choice determines whether your production agents survive failure or collapse under load.

Parallel tool execution exposes hidden dependencies that sequential ordering had quietly resolved.

Architectural flaws, not reasoning gaps, cause agent workflows to collapse into failed branches.

Coordination failures in multi-agent systems hide in handoffs between agents, not inside them.

Root causes of agent failures live in the harness layer, not in prompts or models themselves.

When agents claim success without finishing the task, standard monitoring misses it completely.

Production traces reveal infinite loops in agent pipelines before users notice.

Concurrent agents hit provider quotas faster than teams realize, masking the real problem.

Most agent auth failures live in prompts, schemas, and workflows, not broken infrastructure.

Slow tool calls trigger cascading reasoning failures that standard monitoring can't detect.

When agents complete their work, wrong results can hide in plain sight before anyone notices.