# Developers Build AI-Powered Apps with Angular and Gemini > Source: > Published: 2026-06-21 10:07:54.986304+00:00 # Developers Build AI-Powered Apps with Angular and Gemini According to a listing on WOW! eBook, a new title called "Building AI-Powered Apps with Angular" is scheduled as a paperback of **454 pages**, with a publication date of **June 26, 2026** and ISBN-10 **1806383497** and ISBN-13 **978-1806383498**. The listing describes the book as a hands-on guide for creating agentic Angular applications that integrate Google AI and Gemmini models, and it cites technologies including **Genkit**, multimodal AI, **MCP**, and **RAG** for building intelligent UIs, image and video generation, and scalable cloud deployments. Editorial analysis: For practitioners, the book appears positioned as a practical developer guide tying front-end engineering with generative and retrieval-augmented workflows. ### What happened According to a listing on WOW! eBook, a new book titled **Building AI-Powered Apps with Angular** is being published as a paperback of **454 pages** with a publication date of **June 26, 2026**, ISBN-10 **1806383497**, and ISBN-13 **978-1806383498**. The listing describes the book as a hands-on guide for creating agentic Angular apps using Google AI and Gemmini models and references tools and patterns such as **Genkit**, multimodal AI, **MCP**, and **RAG** for intelligent UIs and media generation. ### Technical details Per the listing on WOW! eBook, the book covers integrating Gemmini and Genkit with Angular, employing multimodal models and retrieval-augmented-generation to support features like image and video generation and cloud-scalable deployments. The listing frames the content as both developer-facing and cloud-oriented, but it does not include chapter-level excerpts or sample code in the public listing. ### Editorial analysis - technical context Developers integrating modern generative models into front-end frameworks commonly combine client-side UI logic with server-side model orchestration and retrieval services. Industry-pattern observations: guides that pair a mainstream front-end framework with model toolkits typically emphasize architecture for latency management, prompt orchestration, and cost control when using large multimodal models. ### Context and significance For practitioners, a focused book that ties Angular to Gemmini-class multimodal capabilities may shorten the learning curve for front-end engineers adopting generative features. Industry context: similar developer guides historically accelerate practical adoption but do not replace vendor documentation or API references. ### What to watch Look for sample repositories, published code examples, or a companion GitHub repository that would materially increase the book's utility for engineers. Also watch whether publisher listings add chapter details or excerpted tutorials. ## Scoring Rationale A practical developer book helps practitioners bridge front-end engineering and generative models, but a single publisher listing without sample code limits immediate technical impact. Practice with real FinTech & Trading data 90 SQL & Python problems · 15 industry datasets [Active Verified Users by Income TierEasy](/problems/sql/active-verified-users-by-income) [Technology Stocks with High BetaMedium](/problems/sql/technology-stocks-with-high-beta) [Portfolio Performance ScorecardHard](/problems/sql/portfolio-performance-scorecard) 250 free problems · No credit card [See all FinTech & Trading problems](/problems/datasets/fintech)