TL;DR: Dynamic workflows in Claude Code let Claude orchestrate tens to hundreds of parallel subagents to tackle complex engineering tasks end-to-end. Work that normally takes quarters now finishes in days—bug hunts across entire services, migrations touching hundreds of files, and plans stress-tested from every angle.
What Are Dynamic Workflows?
Anthropic launched dynamic workflows in Claude Code today (May 28, 2026), introducing a paradigm shift in how AI handles complex, large-scale engineering tasks.
Some problems are too big for one pass by a single agent, especially in complex, legacy codebases:
- Bug hunts across an entire service
- Migrations that touch hundreds of files
- Plans you want stress-tested from every angle before committing
Dynamic workflows handle all of these end-to-end.
How Dynamic Workflows Work
When a workflow kicks off, Claude:
- Plans dynamically based on your prompt
- Breaks it into subtasks with clear objectives
- Fans the work out across subagents running in parallel
- Checks results before they're folded in
- Iterates until answers converge
Agents address the problem from independent angles, other agents try to refute what they found, and the run keeps iterating until the answers converge—which is how a workflow reaches results a single pass can't.
Key Capabilities
Parallel Execution: Dynamic workflows can run dozens to hundreds of subagents simultaneously, each working on independent subtasks.
Adversarial Checking: Independent agents work to break the results before you see them, ensuring high-quality outputs when the cost of a wrong answer is high.
Long-Running Sessions: Built for work that can extend into hours and days, with progress saved continuously so interrupted jobs pick up where they left off.
Coordinated Results: Because the coordination happens outside the conversation, the plan stays on track no matter how big the task gets.