Show HN: AI-Native Architecture Series (Open-Source)(github.com)
github.com
Show HN: AI-Native Architecture Series (Open-Source)
https://github.com/myinvestpilot/ai-architecture
3 comments
actually respect this.
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.
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.
Thanks JB_5000 — really appreciate you putting it that way. You're spot on: the whole point is constraints over intelligence. Guardrails (DSL, schema, deterministic replay, boring hybrid) are what actually make it production-usable.
On scaling: so far it's handling ~3k trial users + growing paid base with low four-digit RMB yearly infra (queue-driven scale-to-zero, Redis cache, R2 for artifacts). The real bottleneck is still alignment quality (good artifacts + human gates), not the constraint overhead itself. Haven't hit hard walls yet, but I'm sure 10x–100x load will expose new ones.
How about you? Have you seen constrained agents / deterministic layers scale well (or break) at larger sizes? Any guardrails that worked surprisingly well for you?
Thanks again!
On scaling: so far it's handling ~3k trial users + growing paid base with low four-digit RMB yearly infra (queue-driven scale-to-zero, Redis cache, R2 for artifacts). The real bottleneck is still alignment quality (good artifacts + human gates), not the constraint overhead itself. Haven't hit hard walls yet, but I'm sure 10x–100x load will expose new ones.
How about you? Have you seen constrained agents / deterministic layers scale well (or break) at larger sizes? Any guardrails that worked surprisingly well for you?
Thanks again!
> Posted 1 minute ago
> This comment posted 0 minutes ago
This is very suspicious, I’m sorry.
> This comment posted 0 minutes ago
This is very suspicious, I’m sorry.
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