Every LLM App Is Just a Markdown-and-Code Sandwich
📰 Dev.to · Shimo
Learn how LLM apps are built using a simple markdown-and-code sandwich architecture, and why this matters for developers
Action Steps
- Identify the natural language instructions in your LLM app
- Layer deterministic code alternately with markdown instructions
- Build a prototype using this sandwich architecture
- Test and refine your app's performance
- Apply this architecture to other LLM app development projects
Who Needs to Know This
Developers and software engineers can benefit from understanding this architecture to build more efficient LLM apps, and product managers can use this knowledge to inform their product strategy
Key Insight
💡 LLM apps are built using a simple, alternating architecture of natural language instructions and deterministic code
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🤖 Every LLM app is a markdown-and-code sandwich! 📄💻
Key Takeaways
Learn how LLM apps are built using a simple markdown-and-code sandwich architecture, and why this matters for developers
Full Article
Rebuilding a local 9B agent's insight feature revealed the same architecture hiding inside Claude Code: natural language instructions and deterministic code, layered alternately like a sandwich.
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