This is especially relevant now that docker has made it easy to maintain local builds of the entire app (fe+be). Factor in local AI flows and the RAM requirements explode.

I have a whisper transcription module running at all times on my Mac. Often, I'll have a local telemetry service (langfuse) to monitor the 100s of LLM calls being made by all these models. With AI development it isnt uncommon to have multiple background agents hogging compute. I want each of them to be able to independently build + host and test their changes. The compute load apps up quickly. And I would never push agent code to a cloud env (not even a preview env) because I don't trust them like that and neither should you.

Anything below an M4 pro 64GB would be too weak for my workflow. On that point, Mac's unified VRAM is the right approach in 2025. I used windows/wsl devices for my entire life, but their time is up.

This workflow is the first time I have needed multiple screens. Pre-agentic coding, I was happy to work on a 14 inch single screen machine with standard thinkpad x1 specs. But, the world has changed.