LLM Workflows then Agents: Getting Started with Apache Airflow

Re:LLM Workflows then Agents: Getting Started with Apache Ai... by jedberg on Monday March 31, 2025 @10:30PM (#43542238)

Have you checked out DBOS Transact[0]? DBOS is designed for high dynamic execution, and doesn't have the overhead or complexity of Temporal [1].

Disclosure, I'm the CEO of DBOS.

[0] https://github.com/dbos-inc/dbos-transact-py

[1] https://www.dbos.dev/blog/durable-execution-coding-compariso...

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Re:LLM Workflows then Agents: Getting Started with Apache Ai... by ldjkfkdsjnv on Tuesday April 01, 2025 @09:46AM (#43546734)

I have seen it! And appreciate your response, just haven't had the time to dive in.

If you want a product hint from me, I think that adding integrations natively into the platform that would allow vibe coders to build asynchronous agents easier would really boost revenue. Like email, text, etc.

Probably not your vision, just a suggestion

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Re:LLM Workflows then Agents: Getting Started with Apache Ai... by jedberg on Tuesday April 01, 2025 @12:03PM (#43548402)

> that would allow vibe coders

We've experimented with that actually! Six months ago it was terrible, but the new models are getting pretty good.

And it's definitely easier for an AI to generate DBOS code to make a fully formed distributed system than a fully formed distributed system somewhere else.

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Re:LLM Workflows then Agents: Getting Started with Apache Ai... by ldjkfkdsjnv on Wednesday April 02, 2025 @07:50AM (#43555705)

Making an asynchronous ai agent is still hard, there is a disconnect between the agentic LLM code (langgraph, openai agents, etc) and asynchronous distributed systems/message passing. True AI agents will have a cohesive joining of the two.

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