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Users are facing challenges in managing long-running workflows, particularly in maintaining state and handling failures. There is a need for better tools to automate and orchestrate these workflows effectively.
How do you handle long-running, multi-step workflows that need scheduling, retries, and data handoffs?
“I've been wrestling with setting up a workflow that runs over several weeks, involving multiple steps, scheduled tasks, automatic retries, and passing data between different processes. It's a mix of background jobs, approvals, and external API calls, and keeping track of everything is a headache....”
Open original →How can autonomous AI teams coordinate to prevent state loss in long-running stateful functions?
“I've been trying to solve a tricky problem with stateful functions in automation—specifically, how to keep the workflow context intact when multiple steps (each handled by a different AI agent) have to run for a long time, or if things fail halfway through. The classic gotcha is that state can ge...”
Open original →Autonomous ai teams vs temporal workers - which scales better for bursty microservices?
“We're hitting scaling limits with Temporal workers during sudden traffic spikes (e-commerce events). Traditional auto-scaling helps, but bootstrapping workers with specific model expertise takes too long. The 'autonomous AI teams' concept sounds promising - dedicated roles like analyst/CEO agents...”
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