LangGraph architecture that scales (hexagonal pattern, 110 tests)
Details
- External ID
- 46689093
- Source
- HN
- Company
- —
- Product
- LangGraph architecture that scales (hexagonal pattern, 110 tests)
- Website domain
- github.com
- Launched
- Jan. 20, 2026
- Cohort
- —
- Upvotes
- 12
- Upvotes percentile
- 0.5586297760210803
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
I kept hitting the same wall with LangGraph: tutorials show you how to build a graph, not how to maintain one when you have 8 nodes, 3 agents, and shared state across subgraphs.So I built a reference architecture with: - Platform layer separation (framework-independent core) - Contract validation on every state mutation - 110 tests including architecture boundary enforcement - Patterns that AI coding agents can't accidentally breakRepo: https://github.com/cleverhoods/sagecompass Wrote about the patterns: https://dev.to/cleverhoods/from-prompt-to-platform-architect...It's MIT licensed. Would love feedback on the approach - especially from anyone who's scaled LangGraph past the tutorial stage.
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Agent / copilot
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- scalable langgraph architecture
- Manually corrected
- False
Could you build this?
Yes This is a reference architecture template demonstrating clean hexagonal design patterns and unit tests for Python/LangGraph. A solo builder can easily vibe-code architectural scaffolds, types, and test suites with an AI coding tool.
Discussion
2 comments analyzed.
Competitors
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Attention rank: #31 of 65 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 45 days after the earliest competitor.
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- ai-agent-langgraph-main · github · 2026-09-11 · 21 upvotes · similarity 0.38
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- 49 IDE · hn · 2026-08-31 · 18 upvotes · similarity 0.35
Other launches for this product
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.