AI Pulse · AI Trends Pulse

Power users are wiring together multiple Claude Code sessions to run in parallel, treating each one like a specialist on a team. One session writes tests, another refactors code, a third handles documentation. They share context through a central doc or workspace file, and a human (or a lightweight orchestrator) decides what each agent tackles next.

Grant Parry’s breakdown, referencing Boris Cherny’s workflow, lays out the mechanics. You spin up three or four Claude sessions, give each a clear role and a shared markdown file that logs decisions and task status. Session A finishes a function, updates the doc. Session B reads it, writes the unit test. Session C spots a pattern and refactors. You review the pull requests and merge what makes sense. It is not automated end to end, but it is faster than serial handoffs and cheaper than paying for a single monster context window.

We have been running a version of this inside Enterprise DNA for weeks. Our Omni Command Centre tracks an agent registry, so one agent handles data prep, another runs the analysis, a third writes the summary. The registry keeps them from stepping on each other, and the system logs every handoff. It is exactly the kind of orchestration layer that turns a clever hack into something you can rely on daily, and we are happy to walk you through how that works in practice if you want to see it in your own stack.

The workflow is not new in theory. Multi-agent frameworks have existed for years. What changed is that Claude Code is good enough, and accessible enough, that people are duct-taping sessions together without waiting for a vendor to ship the orchestration layer. If you have repetitive dev work, documentation backlogs, or code reviews piling up, this pattern is worth testing now.