Comprehensive and practical write-up that aligns with most of my experiences.
One controversial point that has led to discussions in my team is this:
> A common anti-pattern/code smell in software is the “God Object,” where we have a single class or function that does everything. The same applies to prompts too.
In theory, a monolithic agent/prompt with infinite context size, a large toolset, and perfect attention would be ideal.
Multi-agent systems will always be less effective and more error-prone than monolithic systems on a given problem because of less context of the overall problem. Individual agents work best when they have entirely different functionalities.
One controversial point that has led to discussions in my team is this:
> A common anti-pattern/code smell in software is the “God Object,” where we have a single class or function that does everything. The same applies to prompts too.
In theory, a monolithic agent/prompt with infinite context size, a large toolset, and perfect attention would be ideal.
Multi-agent systems will always be less effective and more error-prone than monolithic systems on a given problem because of less context of the overall problem. Individual agents work best when they have entirely different functionalities.
I wrote down my thoughts about agent architectures here: https://www.kadoa.com/blog/ai-agents-hype-vs-reality