Explore structured AI assisted development workflows using Claude Code. Learn debugging, review, and automation practices that improve coding efficiency, reduce errors, and support scalable real world software engineering workflowsAI.

This course introduces a structured approach to building effective AI-assisted development workflows using Claude Code. You begin with foundational interaction patterns that shape how you guide AI for coding tasks, then progress into debugging strategies, diff analysis, and self-review techniques that improve accuracy and reduce iterative errors. As you advance, the course explores more powerful workflow designs including subagents for task separation, parallel sessions for handling multiple streams of work, and slash commands for structured control. You also learn how hooks can automate repetitive steps and how MCP servers extend Claude Code into more capable development environments. The learning journey focuses on turning AI assistance into a disciplined engineering system rather than ad-hoc prompting. By combining review habits, context management, and automation strategies, you develop a reliable workflow that improves code quality, speeds up iteration, and supports scalable software development practices in real-world projects. This course is designed for software developers, backend engineers, and DevOps professionals who want to improve AI assisted development practices using Claude Code. It also benefits technical leads and engineers working on scalable systems who aim to structure workflows, improve debugging discipline, and adopt reliable automation driven development habits in real projects. Suitable for professionals transitioning into AI native development environments. This course takes a structured, workflow focused approach to Claude Code based development. It begins with core interaction patterns and progresses into debugging, review, and automation techniques. Learners gradually adopt advanced session handling, subagents, and MCP integrations to build consistent AI driven engineering practices. This course is based on Practical AI Development Workflows with Claude Code, by Zenva Academy. Copyright © 2026 Zenva Academy All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.