The hardest part of algorithm interview prep isn't solving problems. It's not knowing where you left off.
The Git Learning History
GitQuest Pro organizes algorithm problems as Git commits and branches. Side effect: a complete learning history in your git log.
Three months of commits looks like:
feat: implement BFS level-order traversal
feat: dynamic programming - climbing stairs
feat: graph traversal - Dijkstra shortest path
fix: fix sliding window boundary condition
More useful than any progress bar.
How to Use It for Interview Prep
- Use built-in topic branches: arrays-and-strings, trees-and-graphs, dynamic-programming, system-design-fundamentals
- Work Easy → Medium → Hard with time complexity analysis and multiple solution approaches
- Commit each solution with your thought process — these become review material
Why Not Just LeetCode?
LeetCode is isolated. Each problem is disconnected from your local environment. GitQuest Pro plugs learning into your existing Git workflow — zero additional friction.
One honest limitation: No online judge. You run test cases locally.
For the consistency and speed phase of interview prep, the structure adds real value.
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