@navokitech —— I need Followers 🥲 Feeling lost in the jungle of AI tools, frameworks, and APIs for mobile apps? You’re not alone. That’s why I mapped it all out—so you can see exactly how everything fits together: 🔹 Frontend: Flutter, React Native, Swift, Kotlin 🔹 On-Device AI: TensorFlow Lite, Core ML, ML Kit 🔹 Cloud Platforms: AWS, GCP, Firebase, Supabase 🔹 LLM / Generative AI APIs: Gemini, Hugging Face, OpenAI, Vertex AI, Bedrock 🔹 Databases: Firestore, Pinecone, ChromaDB, PostgreSQL 🔹 Agent Frameworks: LangChain, LlamaIndex, GenKit 🔹 APIs: Firebase Functions, FastAPI, Lambda, Amplify, Cloud Run 🔹 Memory / Storage: SQLite, Core Data 🔹 Distribution: App Store, Play Store 💡 Why this matters: Whether you’re just starting with Flutter or scaling a Firebase + AI app, this roadmap shows how the pieces connect: and how to ship smarter apps faster. 👇 Curious if I make a deep dive post on one part of this roadmap, which area should I cover first? Follow @navokitech #softwareengineer #mobileappdevelopment #peoplewhocode #100daysofcode navoki careertips mobiledev mobiledevelopment mobileappdevelopment appdeveloper careertips programming codinglife thedevlife programmerlife programminglife developerlife girlswhocode programmerslife💻 generativeai aicreator learnai roadmap