AI Coding at Home Without Going Broke

The article outlines three cost-effective approaches to AI coding at home: self-hosting open-source models locally (high upfront cost but no per-token fees), renting open-source models via API providers (flexible and affordable), and maximizing frontier model subscriptions like OpenAI and Anthropic (good value until token limits are hit). The author recommends blending the latter two strategies—using premium subscriptions for complex planning tasks and cheaper API-based open-source models for routine work—to achieve significant productivity at roughly $1,000 monthly.