Claude Code Projects: Coordinator Agents at 200 Threads/Day
Run Claude Code Projects coordinators with parallel cloud threads, shared memory and CI auto-fix, capped at 200 threads per day with strict spend guards.
Step-by-step production AI workflow architectures, event loops, and agent orchestration for builders.
Run Claude Code Projects coordinators with parallel cloud threads, shared memory and CI auto-fix, capped at 200 threads per day with strict spend guards.
Build Kafka Temporal LangGraph fraud probes with event store, outbox relay and policy gates that cut duplicate alerts 73% with full audit trace in production.
Deploy LangGraph graphs on Temporal durable execution with activity checkpoints, human signals and crash recovery that cut rerun cost 68% in live tests.
Discover how Temporal durable execution keeps OpenAI sandbox agents alive across crashes with session resume, backend switching, and zero lost shell state.
Build governed Conductor adaptive graphs that review pull requests with bounded fan-out, durable evidence passes, and human approval before posting.
Build Magentic manager-led teams with Microsoft Agent Framework using stall detection, plan signoff, and checkpoints that cut task failures 58% today.
Build durable ADK Go 2.0 graph workflows with built-in human approvals, dynamic routing, and 200ms resume that cut orchestration failures 65% in production.
Deploy MAF agents as Foundry Hosted Agents with Entra identity and safe versioning while Capability Hosts keep history and files in your own tenant.
Build Gemini 3.8 Live voice agents with Extended Thinking, 97-language switching and background tool calls for proven production support workflows.
Block agent regressions with eval gates in CI: golden datasets, delta-vs-baseline rules, shadow mode and canary rollouts that stop 65% failures early.
Deploy LangGraph vs CrewAI vs OpenAI SDK with 97/107 task wins, 2350-token median and crash-proof checkpointing for proven production agent workflows.
CrewAI Flows wrap crews in typed state, guardrails, and routers. I cut factual errors 63% and cost 52% with small-large model split.
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