Building reliable agentic AI systems
martinfowler.com
Building reliable agentic AI systems
1–10 of 74 posts
Re: Building reliable agentic AI systems
#2[deleted]
Re: Building reliable agentic AI systems
#3You cannot
Re: Building reliable agentic AI systems
#4The part about context discipline feels underrated.
Larger context windows don’t remove the need to decide what the model shouldn’t see.
Re: Building reliable agentic AI systems
#5These vast multi-agentic systems with roles like 'Researcher', 'Writer' (with a review loop), 'Reflection agent', seem to ~feel~ mostly right but lack evals as to the merit of agent decomposition. So it forms a satisfying enough flowchart but I see no evidence these authors actually tried other approaches or agent roles. And let's be honest: an agent is just a system prompt and output contracts, and these rich architectures seem to be pontificating beyond their worth. It all feels a bit vibe-y.
Re: Building reliable agentic AI systems
#6The part about context discipline feels underrated. Larger context windows don’t remove the need to decide what the model shouldn’t see.
Totally!
Re: Building reliable agentic AI systems
#7[flagged]
Re: Building reliable agentic AI systems
#8Why is comment from padolsey dead? Seriously, something fishy is going on on this website.
Re: Building reliable agentic AI systems
#9> The author used AI assistance during the writing of this article. AI tools were used for brainstorming ideas, creating outlines, and reviewing drafts to polish language and improve clarity.
The first sentence makes it seem like they just used to improve sentence structure etc but the second line makes it seem like they used it for 90% of the work. Which one is true?
Re: Building reliable agentic AI systems
#10What was the main driver for a dynamic workflow with loops vs a rigid forward running only workflow. The non-deterministic nature of these loops with LLM decision points doesn't mesh well with the transparency requirement imho