You want to use AI in your stack, but you're not trying to blow $500/month on subscriptions. Real...
Local DeepSeek-V3 + Claude API ($10-50/month) + open-source embeddings cost ~$20-30/month beyond initial hardware. For CTOs, routing between local and cloud models eliminates the budget false choice: neither $500/month seats nor Ollama complexity required.
You want to use AI in your stack, but you're not trying to blow $500/month on subscriptions. Real talk: you don't have to pick between "free tier forever" and "expensive as hell." You just need to be smart about which tools do what.
The Problem Everyone Ignores
Most developers try one of two things:
Stick everything on OpenAI/Claude and watch the bill climb
Go full open-source and get frustrated debugging Ollama at 2 AM
A solo developer with a $200/month budget can now access the same AI coding power that cost...
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