been building with AI coding agents for months and the one thing that always killed me was losing context mid task
like you're 40 mins into a complex refactor and the agent just forgets what it was doing. starts over. re reads everything. burns tokens for nothing
so when OpenAI Cursor and Anthropic all shipped coordinator patterns in the same week i was genuinely excited
the idea is simple. one coordinator agent plans and delegates. worker agents execute in parallel. shared memory persists across all of them. if a worker crashes or times out the coordinator just spins up a new one
been trying OpenAI's Agents API on a client project. durable sessions survive across calls. the agent picks up exactly where it left off. no re reading the whole codebase every time
Claude Code Projects does something similar but each worker gets its own branch and repo copy. merge conflicts resolve like normal PRs. pretty clean
the real win isnt speed its reliability. long running tasks that used to die halfway through now actually complete
still early but this coordinator pattern feels like the missing piece for production agent workflows
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