AI Summary
→ WHAT IT COVERS Carmen Widobro discusses documentation best practices, dependency management strategies for React Native projects, and how AI tools transform developer workflows while maintaining human problem-solving skills. → KEY INSIGHTS - **Documentation Categories:** Use Divio's four-part framework - tutorials, how-to guides, explanations, and references - to structure developer documentation that serves both human readers and LLM consumption effectively. - **Dependency Management:** Separate production dependencies from dev dependencies methodically. Use bleeding edge branches for messy upgrade work, then clean up commit history before creating pull requests for complex updates. - **AI Context Strategy:** Feed LLMs specific documentation and examples rather than relying on training data. Tools like Cursor excel when you reference exact files and provide clear transformation instructions. - **React Native Upgrades:** Use community tools like React Native Upgrade Helper for version migrations and Expo wrappers to simplify platform differences between iOS and Android development environments. - **Documentation Language:** Avoid condescending words like "just," "simply," and "basically" in technical writing. Focus on approachable language that doesn't assume prior knowledge while maintaining technical accuracy. → NOTABLE MOMENT Carmen attempted using ChatGPT for ABAP programming but failed completely because enterprise SAP documentation remains locked behind corporate logins, leaving the AI with insufficient training data. 💼 SPONSORS [{"name": "Fly.io", "url": "https://fly.io"}, {"name": "Jam.dev", "url": "https://jam.dev"}] 🏷️ Documentation, React Native, AI Development Tools, Dependency Management, Developer Experience