5 Types of AI Agent Architectures: Which One to Choose?

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In episode #3 of "Backstage Tech", we tackle the architecture choice that'll either scale beautifully or become your biggest technical debt nightmare.

Pulling from 7 years in the trenches at ⚙️ ProCoders, I break down the 5 multi-agent architectures that save you from a six-month refactor when your single agent chokes on thirty tools:

• Spot the 3 red flags that scream "time to split" — wrong tool picks, context overload, and lack of specialization
• Network for 3–4 agents that need dynamic collaboration (before it spirals into chaos)
• Supervisor for 80 % of first builds — clear workflows, sane debugging, and a migration path when you outgrow it
• Hierarchical when you hit 9+ agents across multiple domains (sales, support, analytics)
• Custom Workflow for real-world complexity where you hardwire some paths and let agents route the rest

If you own, fund, or lead a software product, this episode gives you a 60-second decision checklist so you pick the right pattern today — and avoid the nightmare of rewriting your entire agent system six months from now.

👉 Ready to talk through your build? Book a meeting or email ogo@procoders.tech and let's map your setup together.