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AI-Augmented Software Engineering: Coding Assistants, LLM-Driven Code Review, Automated Testing, and the Future Developer Workflow
Paperback
Series: Production AI Engineering
Publisher: Independently Published
Published: Jun 24 2026
Pages: 94
Weight: 0.30
Height: 0.19 Width: 6.00 Depth: 9.00
Language: English
The role of the software engineer is changing faster than ever before. AI-Augmented Software Engineering provides working developers with a technically grounded, highly practical guide to integrating AI coding assistants, LLMs, and autonomous agents into their everyday workflows without losing control of their codebase.
This is not a book of theoretical hype. It is an honest, hands-on manual designed to help you write cleaner code, find bugs faster, and deploy robust systems using AI. Whether you are using GitHub Copilot, Cursor, or custom LLM integrations, this book teaches you how to master the art of context injection, prompt engineering, and secure AI-driven development.
Inside, you will learn how to:
- Master Prompt Engineering: Build reliable, codebase-consistent generations using advanced context-injection techniques.
- Automate Code Reviews: Deploy LLM-driven scanners to catch security vulnerabilities and architectural violations before pull requests reach human reviewers.
- Accelerate Test Coverage: Write property-based and mutation tests automatically to eliminate gaps in your test suite.
- Supercharge Debugging & Ops: Leverage AI for root-cause analysis and build self-healing CI/CD pipelines.
- Secure Your Workflow: Mitigate critical AI risks, including prompt injection, data exfiltration, and supply chain attacks.
Prepare your career for the autonomous agent era of 2028-2030. Stop reacting to the AI revolution-start leading it. Scroll up, grab your copy, and upgrade your developer workflow today!
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