𝗛𝗼𝘄 𝗜 𝗕𝘂𝗶𝗹𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 𝗔𝗽𝗽𝘀 𝗼𝗻 𝗖𝗹𝗼𝘂𝗱𝗳𝗹𝗮𝗿𝗲
AI makes it easy to build a demo. Building an app for real users is a different skill.
I use these principles to build reliable systems.
Start simple.
Complex systems evolve from simple ones that work. AI makes it easy to build large architectures on day one. Do not do this. Ship the simplest version first. Let real user needs dictate your complexity.
Manage your AI model like an engineering team.
Use a CLAUDE.md file to set project rules and context. You are the CTO. Prompting is not planning.
Use the right tools for the right jobs:
- Workers for stateless compute and routing.
- KV for reading config and cache.
- Durable Objects to own state for one entity.
- D1 to manage relationships between entities.
Get these boundaries right to make your architecture stable.
Do not skip the fundamentals.
AI writes code that works in a demo but fails in production. You must enforce these rules:
- Ensure idempotency for every mutation.
- Maintain a clear throughline in your logic.
Stay aware of what you build. Vibe coding lacks awareness. Intentional coding relies on judgment. AI provides leverage, but it does not replace your judgment.
Watch the full talk here: https://dev.to/truvisory/how-i-build-production-ai-apps-on-cloudflare-with-claude-code-2hka
Source: https://dev.to/truvisory/how-i-build-production-ai-apps-on-cloudflare-with-claude-code-2hka
Optional learning community: https://t.me/GyaanSetuAi