[HN Gopher] LLM Workflows then Agents: Getting Started with Apac...
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       LLM Workflows then Agents: Getting Started with Apache Airflow
        
       Author : alittletooraph2
       Score  : 37 points
       Date   : 2025-03-31 18:32 UTC (4 hours ago)
        
 (HTM) web link (github.com)
 (TXT) w3m dump (github.com)
        
       | datadrivenangel wrote:
       | I'm looking into using LLM calls inside SQL Triggers to make
       | agents / 'agentic' workflows. Having LLM powered workflows can
       | get you powerful results and are basically the equivalent of
       | 'spinning up' an agent.
        
       | itsallrelative wrote:
       | Truthfully have been a little skeptical of how many workloads
       | will actually need "agents" vs doing something totally
       | deterministic with a little LLM augmentation. Seems like I'm not
       | the only one that thinks the latter works a lot of the time!
        
       | mushufasa wrote:
       | this is really cool!
       | 
       | That said, my impression is that Airflow is a really dated choice
       | for a greenfield project. There isn't a clear successor though. I
       | looked into this recently, and was quickly overwhelmed by
       | Prefect, Dagster, Temporal, and even newer ones like Hatchet and
       | Hamilton
       | 
       | Most of these frameworks now have docs / plugins / sister
       | libraries geared around AI agents
       | 
       | It would be really helpful to read a good technical blog doing a
       | landscape of design patterns in these different approaches, and
       | thoughts on how to fit things together well into a pipeline given
       | various quirks of LLMs (e.g. nondeterminism).
       | 
       | This page is a good start, even if it is written as an airflow-
       | specific how-to!
        
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       (page generated 2025-03-31 23:00 UTC)