Scenario pain points
The traditional way of brushing questions exists problems such as reading and solving stuck questions, difficult to convert solutions in different languages, and weak correlation of similar question types, which affects the continuity of the learning curve.
Efficient use
- Question correlation analysis: Add after screenshot
"列出与此题考察点相同的LeetCode题目编号"To customize the prompt - Multi-Language Comparison: Change the default output in the settings to"Dual version of Python + Java"The ability to master cross-language implementations is facilitated by the fact that
- complexity optimization: Use"Advanced Mode"Forcing AI to provide time/space complexity optimal solutions
Learning workflow recommendations
- First use the tool to get the base solution and AC through the
- Manually reproduce the code and add detailed comments
- Require the tool to generate 3 variants of the solution (e.g., iteration to recursion)
- Finally close the tool to complete the same type of topic independently
added value
The tool automatically generatesError Book Markdown Document(Record function needs to be enabled), includes topic screenshots, multiple solutions and personal annotations, supports one-click export to Obsidian and other knowledge management tools.
This answer comes from the articleCoding Interview Solver Assistant: An AI Solver for Analyzing Programming Interview Questions in Real TimeThe
May not be reproduced without permission:AI productivity tools " How to optimize the use of the tool to enhance learning in LeetCode brushing scenarios?
