Agentic pipelines and systems fall into the same issues as humans who work together, mostly communication.
It's not like they can dump their full context to the "manager" agent, they need to condense stuff, which will result in misinterpreted information or missing information on decisions down the line.
IMO this was more relevant when agents had limited context windows
This I believe is true. Have been working on an Agentic architecture and whenever there was a new requirement the simple workflow was to create an specific agent for that. Earlier the context windows were small and this was the default solution. Overtime our total agents have become vast that it is a headache to maintain and debug.
Absolutely works with frontier models. What do you think about smaller models in these pipelines? That’s literally what I’m working on, with qwen3.5-27b and im splitting the task to 4 steps and not sure if that’s the way to go. Do you have any experience to share?
Agentic pipelines and systems fall into the same issues as humans who work together, mostly communication.
It's not like they can dump their full context to the "manager" agent, they need to condense stuff, which will result in misinterpreted information or missing information on decisions down the line.
IMO this was more relevant when agents had limited context windows
This I believe is true. Have been working on an Agentic architecture and whenever there was a new requirement the simple workflow was to create an specific agent for that. Earlier the context windows were small and this was the default solution. Overtime our total agents have become vast that it is a headache to maintain and debug.
Absolutely works with frontier models. What do you think about smaller models in these pipelines? That’s literally what I’m working on, with qwen3.5-27b and im splitting the task to 4 steps and not sure if that’s the way to go. Do you have any experience to share?
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