Thoughts on AI-augmented development, open-source models, and the economics of shared infrastructure.
A single power developer burns ~1.5B tokens per month. At frontier API rates, that's $4,000–$6,600/month. We break down why token pricing is fundamentally misaligned with how modern inference infrastructure actually works.
MiniMax M2.5, GLM-5, and DeepSeek V3.2 aren't just 'good enough' — they're rivaling Claude Opus on real coding tasks. The models are ready. The infrastructure to run them isn't. Until now.
Every serious developer fantasizes about running their own LLM server. We did too. Here's what we learned about the real costs, the hidden complexity, and the middle path that actually works.