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Software engineering is entering a new phase in which AI coding assistants like Claude Code are becoming part of everyday development workflows. Today, engineering teams face constant pressure to deliver software faster while maintaining quality, scalability, security, and long-term maintainability. Teams are expected to reduce technical debt, improve testing practices, modernize legacy systems, and respond quickly to changing business needs.
At the same time, the way developers work is changing. Rather than using AI only for code generation, modern teams are beginning to collaborate with AI throughout the software development lifecycle, from understanding requirements and exploring ideas to implementation, testing, refactoring, code review, and automation.
This 2-day workshop is designed to help engineering teams work effectively in this new AI-assisted development environment. Over two immersive, hands-on days, participants will learn to integrate proven engineering practices, including Test-Driven Development (TDD), clean coding, refactoring, and sustainable software design, with AI-assisted workflows using Claude Code.
The focus is not on replacing engineers with AI. It is on helping engineers become more effective by using AI responsibly as a collaborative partner. Participants will explore how AI can accelerate development, support better testing practices, simplify refactoring, and help understand and improve existing systems, while maintaining strong engineering discipline and code quality standards.
Understand TDD principles and engineering benefits
Understand how Claude Code changes software development workflows
Apply AI-assisted engineering responsibly
Use the Red → Green → Refactor workflow
Improve code quality through refactoring
Use Claude Code for implementation support, including test generation, refactoring assistance, code review, and architecture exploration
Apply clean code principles
Reduce complexity and duplication
Improve readability and testability
Refactor safely using AI-assisted workflows
Apply TDD to existing codebases
Improve test coverage incrementally
Understand CLAUDE.md and context engineering
Use reusable workflows and engineering instructions
Build sustainable AI-assisted engineering systems
Software Engineers
Full Stack Developers
Technical Leads
Engineering Managers
QA Automation Engineers
Teams adopting AI-assisted engineering
This module introduces the shift toward AI-first engineering and explains how Claude Code transforms modern software development workflows. Participants learn how AI coding agents support productivity while maintaining engineering accountability, quality, and maintainability.
This module introduces core testing concepts and explains how unit testing improves software quality, maintainability, and engineering confidence.
Participants learn the fundamentals of Test-Driven Development and how Claude Code accelerates and improves TDD workflows.
This module focuses on practical implementation workflows where Claude Code supports development, testing, iterative refinement, and engineering collaboration.
This module introduces context engineering concepts and explains how reusable project context improves consistency, maintainability, and engineering quality. articipants learn how to structure reusable instructions and engineering standards using CLAUDE.md.
This module focuses on improving software design incrementally using refactoring techniques and AI-assisted engineering workflows. Participants learn how clean code and maintainable design emerge through continuous improvement.
Participants learn practical strategies for introducing TDD into existing systems and improving legacy code safely using AI-assisted techniques.
Participants apply everything learned during the workshop to implement a complete AI-assisted engineering workflow using TDD and Claude Code.
We are currently preparing our detailed training brochure, which will be available soon. In the meantime, contact us to learn more about the course agenda, learning outcomes, and module details.
Participants who complete the training will receive an AI-First Test-Driven Development with Claude Code Training Certificate of Completion, validating their knowledge of TDD, Claude Code workflows, refactoring, clean code, context engineering, and sustainable software delivery.
AI-First Test-Driven Development combines traditional TDD practices with AI-assisted development workflows, allowing developers to improve software quality while accelerating delivery.
This training is designed for software engineers, full-stack developers, technical leads, engineering managers, QA automation engineers, and teams adopting AI-assisted engineering.
No. The training covers Claude Code workflows, prompting strategies, and practical engineering use cases.
CLAUDE.md is a structured way to provide reusable project context, engineering standards, and development instructions that help improve consistency and productivity.
Yes. AI-assisted development skills are increasingly valuable as organizations adopt AI-powered engineering workflows and tools.
Claude Code can assist with implementation, test generation, code reviews, refactoring, architecture exploration, debugging, and documentation tasks.
Yes. TDD remains one of the most effective ways to improve software quality, maintainability, and confidence, even when AI assists with development.
Yes. The training covers practical techniques for introducing TDD and improving existing systems safely.
Yes. The training helps teams establish consistent AI-assisted engineering practices while maintaining quality and governance standards.
You can pay using debit/credit cards (MasterCard, Visa, American Express) or PayPal. Once payment is completed, you’ll receive an email confirmation.
Yes! Cancellations made within 24 hours of registration qualify for a full refund (minus payment gateway charges). Contact connect@agilemania.com for refund requests.
Leverage Our Tailor-Made Corporate AgileScrum, SAFe And DevOps Training Programs to Stay Ahead Of The Competition And Succeed In This Digital Economy.
Take the next step in your software engineering journey by learning Test-Driven Development with Claude Code. Gain practical skills to build reliable software, write better tests, refactor safely, and use AI effectively through hands-on exercises and real-world scenarios.
Whether you're improving existing systems or preparing for AI-assisted development, this training provides the tools and frameworks you need to succeed. Register today to learn how AI-assisted TDD can help your team deliver better software faster.
For corporate training, private workshops, or customized team programs, contact our team for more information.
