Test Driven Development with AI

TDD isnโ€™t just a testing technique or fancy hype. Itโ€™s a design discipline, older than you think! A rigorous workflow that transforms uncertainty into clarity, fear of change into confidence, and good code into resilient, self-documenting software. In this one-day intensive workshop, youโ€™ll master the red-green-refactor cycle through focused coding katas, real-world refactoring sessions, and hands-on exploration of how modern AI pair programmers can amplify and strengthen this fundamental skill.

Youโ€™ll discover how TDD creates better software design by default, how to leverage AI as a powerful thought partner, and how to build a personal workflow where quality is baked in from the very first line of code.

Who Itโ€™s For

This workshop is designed for:

  • Software developers and engineers looking to solidify their TDD practice
  • Tech leads and architects advocating for sustainable code quality
  • QA engineers and automation specialists deepening their collaboration with dev
  • Anyone involved in building software who wants to write more reliable, maintainable, and confidently delivered code

What Youโ€™ll Learn

Throughout the day, weโ€™ll cover:

  • TDD Fundamentals: The philosophical why, the business value, and the rhythm of Red, Green, Refactor
  • The Testing Pyramid in Practice: Unit, integration, and contract testing within the TDD cycle
  • Design Through Testing: How writing tests first leads to cleaner APIs, loose coupling, and emergent architecture
  • AI as Your Pair Programmer: Prompting strategies for AI to generate test cases, suggest refactorings, and explain concepts
  • The Anatomy of a Good Test: Characteristics of clean, maintainable, and trustworthy tests
  • Test Doubles & Mocking: When, why, and how to use them effectively without over-complicating
  • Legacy Code & TDD: Applying the “Sprout” and “Wrap” techniques to safely introduce tests
  • Tooling & Workflow: Integrating TDD seamlessly into your IDE and CI/CD pipeline
  • The Human Element: Cultivating patience, focus, and a growth mindset for disciplined development

Format & Approach

Expect a hands-on, code-centric mix of:

  • Live-coding demonstrations of TDD on realistic problems
  • Guided coding katas (exercises) with immediate instructor feedback
  • Solo and pair programming sessions to build muscle memory
  • Interactive discussions on overcoming common pitfalls and resistance
  • Practical experiments using AI assistants (e.g., GitHub Copilot, Cursor, ChatGPT) within the TDD loop

This is not a passive lecture, itโ€™s a practical lab designed to make TDD an intuitive and empowering part of your daily development practice.


Duration

๐Ÿ•’ 1 day (in-company or open enrollment)
๐Ÿ“ Available only on-site


Outcomes

After completing this workshop, participants will be able to:

  • Explain the benefits and workflow of TDD to peers and stakeholders
  • Confidently apply the red-green-refactor cycle to new features and bug fixes
  • Use AI tools effectively to accelerate test writing, explore edge cases, and improve code design
  • Refactor existing code with confidence, backed by a protective test suite
  • Design more modular, testable, and resilient software from the outset
  • Integrate TDD practices into their teamโ€™s workflow to improve collective code quality and velocity

Testimonials

“Very interactive session with great insights told through a logical storyline”

“Easy to follow even though there is a lot of topics to cover.”

“Refreshing to learn these concepts accompanied by real stories from an expert.”

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Nawid Sahebzadeh

Transformation Lead | DevOps Accelerator | AI Adoption Strategist

With nearly two decades of experience bridging technology and human behavior, Nawid brings a pragmatic lens to AI transformation.
His approach blends systems thinking, cultural transformation, and engineering craftsmanship.