There are tests you’re proud of.
And then there are the ones you avoid.
The repetitive ones.
The mock-heavy ones.
The “this is obvious but CI requires it” ones.
The tests that feel like typing practice instead of engineering.
Most developers don’t hate testing.
They hate writing the same patterns over and over again.
You create Clean Tests as functional requirements in Markdown, where you define the expected behavior for functions and React components. From those, 3TG generates the actual tests.
That shift changes the question from:
“How do I force myself to write these tests?”
to:
“How do I automate the parts that shouldn’t require creativity in the first place?”
Why Some Tests Feel Draining
Tests become exhausting when they are:
- Mechanically repetitive
- Heavy on setup
- Coupled to implementation details
- Mostly about wiring, not behavior
For example:
- Validating simple input-output functions
- Generating similar edge-case variations
- Mocking dependencies for predictable scenarios
- Writing boilerplate for React components with obvious states
The thinking part is small.
The typing part is large.
That imbalance is what makes certain tests feel like a chore.
Separate Thinking from Typing
The key insight is this:
You don’t hate writing tests.
You hate doing mechanical work manually.
There are two parts to testing:
- Defining behavior (creative, thoughtful, important)
- Translating behavior into code (structured, repetitive, automatable)
Only the first part requires human judgment.
The second part should be automated.
When those two are mixed together, testing feels heavy.
When they’re separated, it feels clean.
Start With Behavior in Markdown
Instead of opening a test file, open a Markdown file.
Define:
- What the function should return for specific inputs
- How the component should behave under certain props
- What should happen during loading, success, and error states
- Which edge cases must never regress
Writing behavior in Markdown counts as writing tests.
It forces clarity.
It exposes ambiguity.
It reduces guesswork.
And once behavior is explicit, the rest becomes mechanical translation.
Automate the Mechanical Translation
This is where automation earns its place.
With 3TG, once you define functional requirements in Markdown:
- AI proposes realistic test values and expected results
- It generates mock stubs with proper TypeScript typings
- It produces Clean Tests — not raw, fragile ones
The difference is crucial.
You’re not asking AI to decide what matters.
You’re asking it to implement what you’ve already decided matters.
That distinction avoids the biggest trap in modern testing automation.
Because here’s the uncomfortable truth:
AI-only test generation is unsafe and incomplete.
Without clearly defined behavior, AI guesses. It invents assumptions. It may encode incorrect expectations as truth.
Automation without intent is gambling.
Automation with intent is leverage.
Clean Tests Reduce Maintenance Debt
One of the reasons developers hate certain tests is not writing them — it’s maintaining them.
- Rename a variable → tests fail
- Refactor internal logic → tests fail
- Extract a helper → tests fail
If your tests are tied to implementation details, automation won’t help. You’ll just generate more fragile code faster.
Clean Tests are:
- Readable
- Behavior-focused
- Portable
- Maintainable
They verify outcomes, not structure.
When tests only fail because behavior changes, maintenance becomes predictable.
And predictable systems feel lighter.
Automating React Tests Without the Usual Pain
React testing is where repetition explodes:
- Rendering components
- Mocking hooks
- Wrapping in providers
- Managing state transitions
Much of that is mechanical.
When behavior is clearly defined:
- “Button is disabled when form is invalid.”
- “Spinner appears during submission.”
- “Error message shows on failure.”
The setup becomes standardizable.
Mocks can be generated with proper TypeScript typings.
Assertions can focus on observable outcomes.
Internal structure becomes irrelevant.
Automation handles the ceremony.
You focus on correctness.
Speed Changes Your Relationship With Testing
When writing disliked tests takes time, you procrastinate.
When generating them is fast, you include them naturally.
Define behavior.
Generate tests.
Run them.
If the feedback loop completes before your coffee cools down or another meeting interrupts you, testing feels integrated — not intrusive.
Fast automation turns resistance into habit.
The Refactor Litmus Test
Here’s how you know automation is working properly.
Take a piece of code.
Refactor it aggressively.
If behavior hasn’t changed:
- Tests should pass
- Generated mocks should still align
- No fragile assertions should explode
If they do, your automation is tied to structure, not behavior.
That’s the wrong target.
Good automation amplifies stability.
Bad automation amplifies brittleness.
What Should Never Be Automated
There are things you should never delegate:
- Deciding what behavior matters
- Defining business rules
- Clarifying edge cases
- Choosing what “correct” means
Those decisions require context.
They require judgment.
They require care.
Automation should support those decisions, not replace them.
If a tool starts inventing intent, it’s no longer helping.
It’s guessing.
The Psychological Win
When the tests you used to hate become one-click generation tasks, something shifts.
You stop postponing them.
You stop resenting them.
You stop dreading “test cleanup” after feature completion.
Instead:
- Behavior is defined early
- Tests are generated consistently
- Feedback is immediate
- Refactoring feels safe
The emotional weight disappears.
And when emotional weight disappears, quality improves almost automatically.
Automation as a Force Multiplier
The goal isn’t fewer tests.
It’s higher-quality tests written with less friction.
By automating:
- Repetitive assertions
- Mock scaffolding
- Standardized test structures
You free cognitive bandwidth for:
- System design
- Edge-case thinking
- Performance considerations
- Architectural clarity
That’s the kind of work developers actually enjoy.
Your Next Move
If there are tests you consistently avoid writing, don’t blame your discipline.
Redesign your workflow.
Start by defining behavior in Markdown.
Treat that as your source of truth.
Automate the translation into Clean Tests that are readable, behavior-focused, portable, and maintainable.
Use AI to propose realistic test values and generate typed mocks — but never to define intent.
If you’d like to try this approach, visit 3tg.dev and start using the free plan.
You can explore examples and walkthroughs here:
https://www.youtube.com/@codingcreedtechnologies
And if you want to see how it works on your own project:
Ask for a live demonstration of 3TG’s capabilities on your own project — just write to contact @ coding-creed.tech
You don’t hate testing.
You hate unnecessary work.
Automate the mechanical parts.
Keep the thinking.
That’s how you turn resistance into momentum.
Writer : Coding Creed Technologies 🔥
— Bhuwan Chettri
Editor, CodeToDeploy
CodeToDeploy Is a Tech-Focused Publication Helping Students, Professionals, And Creators Stay Ahead with AI, Coding, Cloud, Digital Tools, And Career Growth Insights.