AI Makes Testing & Architectural Boundaries More Important - 5th Dallas Meetup

AI can generate code quickly, but speed does not remove the need for clear design decisions, reliable feedback loops, or tests that tell you whether the system still behaves as intended.
If anything, AI-assisted development can make those engineering disciplines more important. When implementation happens faster, teams need stronger ways to define expected behaviour, catch mistakes early, and keep the codebase maintainable as it changes.
Join The Test Tribe’s 5th Dallas Meetup for a session on how pragmatic TDD and Clean Architecture can support AI-assisted development without weakening quality, maintainability, or confidence.

Event Details

• Date: 01 September 2026
• Time: 05:30 PM – 07:30 PM CT
• Venue: Plano, Texas (Exact venue to be announced soon)

What's on the Agenda?

AI Makes Disciplined Testing and Architectural Boundaries More Important, Not Less
by
Speaker: Todd Empcke, Principal Engineer, Travel Curious
Generative AI can accelerate implementation, but engineers still need a reliable way to define expected behaviour and verify whether generated code meets it.
In this session, Todd Empcke will explore why Test-Driven Development (TDD) remains relevant in AI-assisted development.
Rather than treating TDD as a constraint on speed, the session will examine how the Red-Green-Refactor loop can provide a fast feedback cycle for both human-written and AI-generated code.
Todd will also cover how Clean Architecture can help teams structure tests around behaviour and architectural boundaries rather than implementation details.
The session will look at:

• How to decide what should and should not be tested
• How to avoid duplicate, brittle, and expensive test suites
• Why test code should be treated with the same attention to readability, refactoring, and maintainability as production code
• How testing against real infrastructure can reduce dependence on brittle database mocks
• How transport-agnostic specification tests can verify behaviour across internal code, REST APIs, and gRPC endpoints

The focus is on building a test strategy that provides useful feedback as implementation changes, rather than tying tests too closely to internal details.

How This Meetup Solves Your Problem
AI-assisted development can increase the amount of code teams produce, but more code can also mean more complexity if testing and architecture do not keep pace.
This session will help you understand:

• Why Red-Green-Refactor TDD can provide a useful feedback loop for human- and AI-generated code
• How to identify what to test and what not to test
• How to align tests with Clean Architecture boundaries
• Why maintainable test code matters as much as maintainable production code
• How transport-agnostic specification testing can work across different interfaces
• How teams can increase confidence in faster development without simply adding more tests

Why Show Up on 01 September?
This meetup is an opportunity to look at AI-assisted development from an engineering discipline perspective rather than a tooling perspective.
Todd’s session will focus on how TDD, architectural boundaries, and behaviour-focused testing can help teams maintain confidence as implementation speed increases.
You will also be able to ask questions, compare approaches with other practitioners, and connect with QA professionals, software engineers, developers, architects, and testing practitioners from the Dallas community.

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About The Test Tribe
The Test Tribe is the world's largest software testing community, empowering testers globally since 2018. With 925+ events and 170K+ members across 130+ countries, we bring software professionals together to learn, grow, and connect through meetups, conferences, cohorts, masterclasses, and more.
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