TDD: The Ultimate ADHD-Friendly Development Practice
Posted on April 4, 2025 • 6 min read • 1,139 wordsHow Test-Driven Development helps with cognitive overload, decision paralysis, and debugging distractions.
If you have ADHD, traditional software development workflows can feel overwhelming. Large tasks, vague requirements, and long debugging sessions create mental roadblocks that make it hard to start, stay on track, or finish without distraction. But what if there was a way to break down work into tiny, manageable steps while constantly getting feedback that keeps you engaged?
That’s exactly what Test-Driven Development (TDD) does for me. Instead of trying to hold an entire problem in my head at once, TDD forces me to take one small step at a time—reducing cognitive overload, preventing decision paralysis, and eliminating debugging distractions.
For me, adopting TDD was one of the biggest game-changers in managing my ADHD while coding. In this post, I’ll explain why TDD is an ADHD-friendly practice, how it reduces common struggles like being overwhelmed and working memory issues, and walk through a simple example to show how it works in action.
ADHD affects the way we approach complex problems. We often experience:
Most traditional coding approaches make these challenges worse. Writing large amounts of code before testing it means keeping multiple things in working memory: what the code is supposed to do, how it fits into the bigger system, and all the possible edge cases. When something breaks, debugging is chaotic—leading to frustration, wasted time, and distraction.
TDD flips this process on its head by reducing cognitive load, providing a clear starting point, and removing the need for debugging sessions.
Test-Driven Development follows a simple cycle:
This aligns perfectly with how ADHD brains work:
Instead of trying to solve an entire problem in one go, TDD forces you to focus on just one small step at a time.
Let’s say we need to write a function that adds two numbers together. Instead of jumping in and writing the function immediately, we follow the TDD cycle.
Before we write any actual implementation, we first write a test that describes what our function should do:
public class CalculatorTest {
@Test
public void addingTwoAndThree_ReturnsFive() {
Calculator calc = new Calculator();
int result = calc.add(2, 3);
assertThat(result).isEqualTo(5);
}
}
We haven’t written the add method yet, so this test fails. That’s good! It tells us exactly what we need to do next.
Now, we implement just enough code to pass the test:
public class Calculator {
public int add(int a, int b) {
return 5;
}
}
When we run the test again, it passes. We’ve written functional code without overthinking, debugging, or getting distracted.
The code is already simple, so there’s nothing to refactor here. But if this were a more complex problem, this step would let us clean up the code while still being confident it works—because our test will immediately catch mistakes.
This time we can add another version of the test to triangulate and achieve the behavior that we want:
public class CalculatorTest {
@Test
public void addingTwoAndThree_ReturnsFive() {
Calculator calc = new Calculator();
int result = calc.add(2, 3);
assertThat(result).isEqualTo(5);
}
@Test
public void addingOneAndTwo_ReturnsThree() {
Calculator calc = new Calculator();
int result = calc.add(1, 2);
assertThat(result).isEqualTo(3);
}
}
Of course, now we can update the function to pass both tests:
public class Calculator {
public int add(int a, int b) {
return a+b;
}
}
Then refactor, if necessary.
Instead of juggling multiple requirements in your head, TDD lets you focus on one small thing at a time. When each test is written, it acts as a guide, reducing the need to remember what you were working on.
Before TDD: “Wait, what was I trying to do again?”
With TDD: “My failing test tells me exactly what to do next.”
ADHD brains struggle with figuring out where to start, especially when the task feels big or ambiguous. TDD removes this problem by making the next step obvious: write a test, make it pass, repeat.
Before TDD: “Ugh, this feature is huge. Where do I even begin?” (Queue the paralyzing overload)
With TDD: “I’ll start by writing the simplest failing test.”
Debugging is a common ADHD trap. Without a clear process, it’s easy to get sucked into irrelevant details or chase tangents that don’t actually solve the problem. TDD prevents this because failing tests immediately pinpoint the issue, eliminating guesswork.
Before TDD: “Why is this not working? Let’s print debug logs for the entire app…”
With TDD: “There’s a defect in the code somewhere. Let’s write a failing test that replicates the defect. When the
tests pass, we’ll know we fixed it.”
ADHD brains thrive on immediate feedback and visible progress. TDD provides a steady stream of small wins—each passing test feels like a mini dopamine hit, keeping motivation strong.
Before TDD: “Ugh, I’ve been coding for hours, and I don’t even know if this works yet.”
With TDD: “Yes! My test just passed! On to the next one.”
Test-Driven Development isn’t just a best practice for writing high-quality code, it’s a lifeline for ADHD developers. By breaking work into small, manageable steps, providing clear direction, and eliminating debugging chaos, TDD turns an overwhelming coding session into a structured, engaging workflow.
If you struggle with focus, task paralysis, or distractions while coding, give TDD a try. It might just be the key to working with your ADHD brain instead of against it.
In the next post, I’ll dive into another ADHD-friendly development strategy: Mob Programming and Body Doubling—How Collaboration Helps ADHD Developers Stay on Track.