From Manual Chaos to Workflow Engineering: Automating LeetCode with AI

Automating the LeetCode Workflow with AI and GitHub Daily LeetCode practice sounds simple in theory: Solve one problem Push it to GitHub Write a clean explanation Stay consistent In reality, the friction adds up. The actual problem-solving might take 20–30 minutes. Formatting, structuring, updating README, and committing properly often take additional time. That friction becomes the real bottleneck. This led to building a small CLI-based workflow automation tool: 🔗 Repository: https://github.com/micheal000010000-hub/LEETCODE-AUTOSYNC The goal is simple: Automate the repetitive parts. Focus on solving. The Core Problem Maintaining a structured LeetCode repository usually involves: Manually creating solution files Adding standardized headers Updating README under correct difficulty Sorting entries numerically Avoiding duplicates Writing structured explanations Formatting markdown properly Pushing commits consistently None of these improve algorithmic skill. But all of them consume time.