AI coding at home without going broke(stephen.bochinski.dev)
333 points by sbochins 1 day ago | 276 comments
tl;dr: Three options for home AI coding: self-host open source models (high upfront cost, weaker models, hard to keep utilized), rent the same open models via API providers like OpenRouter (most flexible, no hardware lock-in), or min-max frontier subscriptions from OpenAI/Anthropic (~$400/mo yields ~$2800 in list-price usage, but caps out fast). The author recommends combining the last two: use frontier subs for planning and spec writing, then cheap API-rate open models for mechanical execution—claiming team-scale output for around $1000/month.
HN Discussion:
  • Cheaper subscriptions ($20-100/month) are more than sufficient; the article's spending levels seem excessive
  • Investing in hardware for self-hosting is worthwhile for privacy, ownership, or long-term independence from subscriptions
  • ~Using cheap API providers like DeepSeek directly works well without needing the article's complex multi-tier setup
  • Questions about what local hardware can actually run models comparable to frontier offerings
  • The article is really about vibe coding rather than serious AI-assisted coding at home