01
Where algorithm drills fall short
Algorithm drills start from an empty file and end when the output matches. Real work starts in a codebase that already exists, with conventions, tests and history, and ends when the change is correct, readable and breaks nothing else. Interviews are moving the same way: AI-assisted and debugging rounds hand you a project, not a function signature.
02
LeetCode and StackYard side by side
| LeetCode | StackYard | |
|---|---|---|
| Starting point | An empty function | An existing repository |
| The problem | A known algorithm pattern | A ticket: a bug or missing behaviour |
| Tools | An editor and a run button | A browser IDE, terminal, test suite and an AI pair |
| How it is checked | Output on test cases | Hidden checks plus the project’s own tests |
| What it trains | Pattern recall under time pressure | Reading, debugging and verifying real code |
03
The classics, as real bugs
Many algorithm favourites live inside real systems. On StackYard you meet them as bugs in working services: an LRU cache that evicts the newest entry, interval merging that breaks on unsorted input, a rate limiter that lets one call too many through, rolling windows that come up one short. Same ideas, but now you have to find them in someone else’s code.
04
When to use which
If your next interview is a classic algorithm round, keep doing algorithm practice. If it involves a codebase, a debugging round or an AI assistant, or you want to get better at the job itself, practise on real code. Most engineers benefit from both.
05
What you get on StackYard
- Real tickets from real open source repositories and realistic services, in Python and TypeScript
- A browser IDE with a terminal and the project’s own test suite, nothing to install
- Pair, an AI assistant beside the editor that reads the code you are working on
- Example cases to run while you work, and hidden checks when you submit, so a pass means the fix holds
- A time budget on every task, from 10 to 45 minutes
06 Practice
Algorithm classics, as bugs in real services
- Hard · Python · 45 minLRU cache: the newest entry is evicted and reads and updates do not keep keys freshThe classic LRU cache, broken in a service you have to read first.Open task
- Medium · Python · 35 minInterval merge: unsorted input breaks merging and touching intervals stay apartMerge intervals, with the edge cases a real caller hits.Open task
- Easy · Python · 35 minRate limiter: one call too many gets through every windowA sliding window off-by-one in production-style code.Open task
- Medium · Python · 35 minRolling statistics: windows come up one short, averages round down and the max returns the minSliding window statistics with several bugs at once.Open task
Or browse every task, no account needed.
07 FAQ
Questions people ask
Is StackYard a replacement for LeetCode?
For algorithm rounds, no. For codebase, debugging and AI-assisted rounds, and for the job itself, it covers what LeetCode does not.
Which languages are supported?
Python and TypeScript today, with tasks from easy to hard.
Do I need to install anything?
No. Each task opens in a browser IDE with a terminal and the project already set up.
Do I need an account?
No. Start a task straight away. An account keeps your submissions and progress.
More interview guides
LeetCode is a trademark of its owner. StackYard is an independent product and is not affiliated with LeetCode.