1.4M
NAI 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
@navokitech
