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title: Best Vertex AI posts of 2025 | daily.dev
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# Best of Vertex AI — 2025

1. 1  
[](/posts/building-arc-an-ai-messenger-powered-by-firebase-flutter-and-vertex-ai-q8gkjyhtf "Building Arc: An AI Messenger Powered by Firebase, Flutter, and Vertex AI")  
Article  
![Avatar of firebase-developers](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/e13782b61c20475895cc14c209cc0989)Firebase Developers · 50w  
Building Arc: An AI Messenger Powered by Firebase, Flutter, and Vertex AI  
Arc is a privacy-focused messaging app built with Flutter for cross-platform development, Firebase for real-time messaging and authentication, Cloud Run for scalable microservices, and Vertex AI with Gemini models for AI-powered conversational companions. The architecture emphasizes four pillars: stability, speed, lightweight design, and high security. Key features include ephemeral messaging, mesh networking for offline resilience, and RAG-based AI characters grounded in Vertex AI Search to prevent hallucinations. The team achieves rapid iteration with 144 updates in 34 months through rigorous Flutter optimization using static analysis and dynamic profiling.  
45  
7
2. 2  
[](/posts/addyosmani-com-yhockxbsa "AddyOsmani.com")  
Article  
![Avatar of addy](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/858094e1be9f4b0d9bef229d84ab12b7)Addy Osmani · 44w  
AddyOsmani.com  
Addy Osmani announces his transition from Chrome developer experience to a director role at Google Cloud AI. After nearly 14 years with Chrome, he's now focusing on helping developers and businesses succeed with Gemini, Vertex AI, and the Agent Development Kit. His role bridges Google DeepMind, engineering, product, and developer relations teams to improve enterprise AI adoption and developer experience.  
26  
3
3. 3  
[](/posts/building-a-resume-matcher-with-trpc-nlp-and-vertex-ai-hdyrxbv5q "Building a Resume Matcher with tRPC, NLP, and Vertex AI")  
Article  
![Avatar of habr](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/habr)habr · 1y  
Building a Resume Matcher with tRPC, NLP, and Vertex AI  
A developer shares their experience building a resume matcher application using tRPC for type-safe API development, basic NLP techniques for skill extraction, and Google's Vertex AI Gemini model for intelligent matching. The project demonstrates tRPC's advantages for TypeScript-first applications, including end-to-end type safety and minimal boilerplate, while also discussing its limitations for public APIs. The implementation includes PDF text extraction, keyword extraction using natural language processing libraries, and AI-powered resume-to-job matching with structured output.  
16

[See all Vertex AI archives](/tags/vertex-ai/best-of)

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