Prime Factors
Level: Beginner 15–30 minConcepts: AlgorithmsIncremental Design
Solutions: C# | TypeScript | Python
Write a function that takes a positive integer and returns its prime factorization as a list of prime numbers.
Requirements
- Given a positive integer, return its prime factors in ascending order
- If a prime factor appears multiple times, include it that many times
- 1 has no prime factors (return an empty list)
Examples
| Input | Output |
|---|---|
| 1 | [] |
| 2 | [2] |
| 3 | [3] |
| 4 | [2, 2] |
| 6 | [2, 3] |
| 8 | [2, 2, 2] |
| 9 | [3, 3] |
| 12 | [2, 2, 3] |
| 15 | [3, 5] |
| 100 | [2, 2, 5, 5] |
| 235711*13 = 30030 | [2, 3, 5, 7, 11, 13] |
Test Cases
Work through these in order — each one drives a small transformation in the algorithm:
generate(1)→[]generate(2)→[2]generate(3)→[3]generate(4)→[2, 2]generate(6)→[2, 3]generate(8)→[2, 2, 2]generate(9)→[3, 3]
By test 7, the algorithm should be complete. Every subsequent input should pass without changing the code.
Bonus
- Handle edge cases: what happens with 0? Negative numbers?
- Return the factorization as a map of prime → exponent (e.g.
12→{2: 2, 3: 1}) - Calculate the greatest common divisor (GCD) of two numbers using their prime factorizations
Hint
Follow the tests in order. The beauty of this kata is how the algorithm emerges from the simplest possible transformations. Don’t think ahead — let each failing test drive the next change.
Reference Walkthrough
Full C#, TypeScript, and Python implementations live at tddbuddy-reference-katas/prime-factors — the same eleven scenarios across all three languages, walked commit-by-commit through the TDD cycle.
- C# (.NET 8, xUnit, FluentAssertions) — walkthrough
- TypeScript (Node 20, Vitest, strict types) — walkthrough
- Python (3.11, pytest) — walkthrough
This is a Pedagogy mode kata — the walkthroughs step through the TDD cycle commit-by-commit. Watch the gear shift from low (fake-it, triangulate) to middle (obvious implementation) once the outer divisor loop lands, then notice the chain of spec — commits that prove the algorithm generalized. See the repo’s Gears section for why labelling “passes on arrival” honestly is the point.
Related reading
- Katas Are Rehearsal, Not Performance
You don't practice TDD on production code. You practice on katas and bring the muscle memory to production. The gap between knowing TDD and doing TDD is reps. - Test Deletion Is a Privileged Operation
The cheapest way for an agent to make a failing test pass is to delete it. That is logical for the agent and catastrophic for the codebase. Tests are append-only by default. Deletion needs a human author, a separate commit, and a separate review. - The Instruction File Is Not the Discipline
Teams that want their agent to do TDD reach for the instruction file. The TDAD paper measured this directly: adding a 'do TDD' instruction raised regressions by nearly two-thirds. Contextual test discovery cut them by seventy percent. The instruction is theatre. The codebase's test surface is the discipline.