Algoritma Practice in the Age of AI

Описание и применение

Автор использует ИИ для генерации задач LeetCode, но решает их вручную, уделяя внимание оптимизации времени и чистоте кода.

Задача

Balancing AI assistance with manual algorithmic practice to deepen understanding of algorithmic logic and performance.

Результат

The author produced a collection of manually solved algorithmic problems that emphasize efficient coding practices, demonstrating improved understanding of algorithmic complexity and performance.

Рабочий процесс

• 1. Prompt AI to generate a LeetCode‑style problem focused on a specific concept.
• 2. Review the AI‑generated problem statement and constraints.
• 3. Manually design an algorithmic solution, aiming for optimal time complexity.
• 4. Implement the solution in Python, applying hash maps, two‑pointer techniques, or in‑place array manipulation as needed.
• 5. Test the solution against provided test cases and edge cases.
• 6. Refactor code for clarity and performance.
• 7. Commit the solution to a GitHub repository for review and feedback.

Доказательства

I asked AI to generate LeetCode-style algorithm problems focused on specific concepts to keep my problem-solving skills sharp, and I solved each of them manually, step by step.

Источник

My goal wasn’t simply to find a working solution, but to write clean and performant code while reducing Time Complexity wherever possible.

Источник