Combine Test-Driven Development with Claude Code to build faster, cleaner, and more maintainable software.

This 2-day hands-on workshop helps engineering teams integrate TDD, clean coding, refactoring, and sustainable software design with AI-assisted workflows using Claude Code. Participants learn to use AI as a collaborative engineering partner while maintaining code quality, testing discipline, and long-term maintainability.

  • Why get trained: Learn how to apply TDD, refactoring, clean code, context engineering, and Claude Code across modern software development workflows.
  • Why it matters: Accelerate development, improve testing and code quality, reduce technical debt, and modernize existing systems without sacrificing engineering standards.
  • Who should attend: Software Engineers, Full Stack Developers, Technical Leads, Engineering Managers, QA Automation Engineers, and Teams adopting AI-assisted engineering.

Participants gain practical experience through hands-on workshops, real-world simulations, and practitioner guidance to build sustainable AI-assisted engineering workflows. HRD Corp Claimable.

Overview

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.

Skills Covered

  • 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

Prerequisites

No prior experience needed. The training covers Claude Code workflows, prompting strategies, and practical engineering use cases.

Target Audience

  • Software Engineers
  • Full Stack Developers
  • Technical Leads
  • Engineering Managers
  • QA Automation Engineers
  • Teams adopting AI-assisted engineering

Course Curriculum

Module 1: AI-First Engineering & Modern Development Workflows

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.

Module 2: Unit Testing Fundamentals

This module introduces core testing concepts and explains how unit testing improves software quality, maintainability, and engineering confidence.

Module 3: Introduction to Test-Driven Development (TDD)

Participants learn the fundamentals of Test-Driven Development and how Claude Code accelerates and improves TDD workflows.

Module 4: Driving Development with Claude Code

This module focuses on practical implementation workflows where Claude Code supports development, testing, iterative refinement, and engineering collaboration.

Module 5: Context Engineering with CLAUDE.md

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.

Module 6: Emergent Design & Refactoring with Claude Code

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.

Module 7: Working with Legacy Code & Engineering Quality

Participants learn practical strategies for introducing TDD into existing systems and improving legacy code safely using AI-assisted techniques.

Module 8: Capstone on AI-Assisted Engineering Workflow

Participants apply everything learned during the workshop to implement a complete AI-assisted engineering workflow using TDD and Claude Code.

Dates & Locations

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Exam & Certification

Complete the AI-First Test-Driven Development with Claude Code Training and receive your AI-First Test-Driven Development with Claude Code Training Certificate of Completion after successfully completing the 2-day program. This validates your skills in applying Test-Driven Development with Claude Code, AI-assisted implementation, testing, refactoring, code review, context engineering, and sustainable software development practices.

Training & Certification Guide

Yes. The training helps teams establish consistent AI-assisted engineering practices while maintaining quality and governance standards.

Why train with Trainocate

AI-First Test-Driven Development combines traditional TDD practices with AI-assisted development workflows, allowing developers to improve software quality while accelerating delivery.

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.

Speak to a Training Consultant

All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631

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