JetBrains IDEs in Practice : Build High-Productivity AI-Assisted Development Workflows with IntelliJ IDEA, PyCharm, WebStorm, Git, Docker, Testing, Refactoring, and JetBrains AI
Language: English
Published by Independently Published Jun 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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- Title
- JetBrains IDEs in Practice : Build High-Productivity AI-Assisted Development Workflows with IntelliJ IDEA, PyCharm, WebStorm, Git, Docker, Testing, Refactoring, and JetBrains AI
- Author
- Alira Vexel
- Publisher
- Independently Published Jun 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798181711952
- Item weight
- 826 grams
- Dimensions
- 279x216x19 mm
Modern software engineering is no longer just about writing code. It is about building fast, scalable, secure, AI-assisted development workflows that can support real-world applications, cloud-native infrastructure, distributed teams, and production-grade delivery pipelines.
JetBrains IDEs in Practice is a hands-on, production-focused guide designed for developers, software engineers, DevOps practitioners, platform engineers, and technical teams who want to master modern development workflows using IntelliJ IDEA, PyCharm, WebStorm, JetBrains AI, Docker, Kubernetes, Git, CI/CD pipelines, and cloud-native tooling.
Rather than focusing on isolated IDE features or beginner-only tutorials, this book teaches how to build complete engineering systems using the JetBrains ecosystem as a high-performance development platform.
Inside this book, you will learn how to:
- Build optimized JetBrains development environments for enterprise-scale engineering
- Master IntelliJ IDEA, PyCharm Professional, and WebStorm workflows
- Use JetBrains AI Assistant for intelligent code generation, refactoring, debugging, and documentation
- Design keyboard-driven productivity systems and power-user workflows
- Build production-grade FastAPI, Next.js, and PostgreSQL full-stack platforms
- Configure Docker, Kubernetes, GitHub Actions, and CI/CD automation pipelines
- Debug distributed applications, containers, APIs, and Kubernetes workloads
- Optimize large monorepos and multi-service enterprise repositories
- Build secure development workflows with secrets management and AI governance
- Create reproducible cloud-native development environments
- Engineer scalable frontend and backend architectures with modern tooling
- Integrate observability, testing, automation, and deployment validation into daily development workflows
This book is built entirely around practical implementation and real engineering workflows. Every chapter includes hands-on guidance, operational patterns, production-ready configurations, troubleshooting strategies, automation workflows, debugging practices, and chapter-based Practice Labs.
You will also build a complete end-to-end capstone platform using:
- FastAPI
- Next.js
- PostgreSQL
- Docker Compose
- GitHub Actions
- Kubernetes
- JetBrains AI-assisted workflows
Unlike generic IDE books that focus only on menus and settings, this guide approaches JetBrains IDEs as part of a modern software delivery ecosystem that supports:
- AI-assisted engineering
- DevOps automation
- Cloud-native application delivery
- Platform engineering
- Remote development
- Enterprise collaboration
- Developer productivity engineering
Whether you are building APIs, frontend applications, microservices, AI-assisted workflows, Kubernetes platforms, or enterprise-scale engineering systems, this book provides the practical workflows, tooling strategies, and operational guidance needed to become a high-performance JetBrains power user in modern software engineering environments.
If you want to move beyond basic IDE usage and learn how professional engineering teams build, debug, automate, deploy, and scale real-world applications using the JetBrains ecosystem, this book will give you the practical foundation to do it with confidence.
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