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Full Stack Development with AI Frameworks: Build modern intelligent applications using the latest toolsets
Paperback
Publisher: Independently Published
Published: Apr 27 2026
Pages: 154
Weight: 0.61
Height: 0.33 Width: 7.00 Depth: 10.00
Language: English
The landscape of software engineering has shifted. Building static applications is no longer enough. Users now demand intelligent systems capable of reasoning, synthesizing information, and performing complex tasks autonomously. Full Stack Development with AI Frameworks is your comprehensive guide to mastering this new paradigm.
Written specifically for software engineers and technical architects, this manual bypasses the high-level theory and gets straight to the infrastructure. You will learn how to bridge the gap between non-deterministic language models and predictable, production-ready application environments.
Inside, you will discover how to:
- Select and Optimize Models: Navigate the differences between proprietary APIs and open-source models while managing tokenization and context window limits.
- Master Vector Databases: Build highly efficient semantic search pipelines using Pinecone, Weaviate, and Chroma.
- Orchestrate Logic: Construct reliable multi-step workflows and manage conversational memory using LangChain and Haystack.
- Process External Data: Ingest proprietary data and build robust knowledge graphs with LlamaIndex.
- Design Responsive Interfaces: Create streaming chat UIs and data dashboards using Tailwind CSS and the Vercel AI SDK.
- Build Multi-Agent Systems: Coordinate specialized agents to solve complex problems and grant them access to external APIs via function calling.
- Deploy with Confidence: Containerize your applications with Docker, manage GPU resources, and deploy to edge hardware.
Stop relying on basic API wrappers. Learn the architecture required to build, test, and deploy secure, cost-effective, and truly intelligent full stack applications.
Get your copy today and upgrade your engineering toolkit.
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