Testing Code That Actually Works

We've spent years watching brilliant developers struggle with flaky tests and unreliable automation. Our practical approach focuses on building test suites that survive real-world changes and actually catch the bugs that matter.

No theoretical frameworks or academic exercises. Just solid testing practices that work in production environments where deadlines are tight and requirements change weekly.

View Learning Program

Three Pillars of Reliable Test Automation

Test strategy planning session with multiple developers reviewing code

Strategic Planning

Before writing a single test, we map out what actually needs testing. Not everything deserves automation - some tests cost more than they save.

Real-World Testing Challenges

Most testing courses teach you to write tests for perfect, unchanging code. But real applications have messy legacy components, third-party integrations that occasionally fail, and business requirements that shift monthly.

We focus on building resilient test suites that adapt to change rather than breaking every time someone updates a CSS class or modifies an API response format.

Our approach comes from maintaining test suites in production environments where uptime matters and false positives waste everyone's time.

Developer working on test automation setup with multiple monitors showing code coverage reports

Practical Implementation

Theory is useful, but implementation is everything. We teach debugging techniques, maintenance strategies, and how to write tests that other developers can understand and modify.

Why Most Test Automation Fails

After working with dozens of development teams, we've noticed the same patterns. Tests that work perfectly during development break in staging. Automation suites that took months to build become maintenance nightmares.

The problem isn't technical skill - it's approach. Most testing education focuses on tools and syntax rather than sustainable practices and realistic maintenance strategies.

We teach the unglamorous but essential skills: handling flaky network requests, managing test data, dealing with timing issues, and writing tests that survive code refactoring.

Close-up of debugging session showing test results and error logs on computer screen

How We Build Testing Expertise

1

Assess Current State

We start by examining existing codebases and testing practices. What's already working? What's causing pain? No point fixing what isn't broken.

2

Identify Key Risks

Not all bugs are equal. We focus testing efforts on features that would cause real problems if they broke - user authentication, payment processing, data integrity.

3

Build Incrementally

Instead of massive test suites that nobody maintains, we build focused automation that solves specific problems. Each test needs to justify its maintenance cost.

Development team collaborating on test strategy whiteboard session

Learn From Practitioners, Not Just Teachers

Portrait of Stellan Henriksson, senior test automation engineer

Stellan Henriksson

Spent five years maintaining Selenium suites for e-commerce platforms. Now focuses on teaching sustainable automation practices that actually work in production.

Portrait of Dimitri Kastelic, software testing consultant

Dimitri Kastelic

Former QA lead at three different startups. Learned testing strategies the hard way - through broken deployments and 3am debugging sessions.

Experience Over Theory

We're not academic researchers or training company employees. We're developers who've maintained test suites in real production environments where downtime costs money and flaky tests waste everyone's day.

Our curriculum comes from solving actual problems: handling authentication in automated tests, managing test environments, dealing with asynchronous operations, and debugging intermittent failures.

The program launches in autumn 2025, giving us time to incorporate feedback from ongoing client projects and refine our approach based on what's actually working in current development workflows.

Get More Information