Hi HN,
Open-sourced my complete AI-native architecture series from a solo builder project (spare time).
4 articles (EN/ZH) covering:
- Constrained DSL for reliable LLM decisions
- 60/40 → 90/10 AI-driven development workflow
- "Boring" hybrid agent architecture
- Low-cost multi-vendor cloud scaling
Real scale: 28 repos, 538k LOC, 3k+ users, low four-digit RMB yearly infra.
Repo: https://github.com/myinvestpilot/ai-architecture
Pure sharing, no promo. Feedback, critiques, or your solo AI-native experiences welcome!
Thanks
feels like more solo builders are realising agents arent about intelligence, they’re about constraints — DSLs, deterministic layers, boring hybrid architectures.
you stop writing code and start designing guardrails. curious how this scales though.
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