A dynamic full-stack developer workbench that analyzes programming code snippets to instantly extract their primary Data Structures & Algorithms (DSA) core structural patterns (e.g., Two Pointers, Sliding Window, Depth-First Search). It breaks down the applied architectural logic and curates direct, targeted LeetCode practice problems based on the discovered archetype.
- Instant Structural Diagnostics: Paste code written in Python, Java, JavaScript, or C++, and discover the underlying DSA archetype in seconds.
- Smart Practice Arenas: Generates three curated, real-world LeetCode problem links classified by difficulty (Easy, Medium, Hard) matching the detected algorithm.
- Persistent Local Log Pipeline: Automatically logs every analysis snapshot into a local SQL-backed transaction history feed for easy reference.
- Defensive Edge-Case Handling: Implemented local regex filtering mechanics to clean model outputs, making code parsing completely robust.
- Frontend: Clean, responsive, dark-mode CSS UI panel with dynamic asynchronous AJAX components.
- Backend Framework: Python Flask application server managing custom API gateway configurations.
- Database Ledger: SQLite3 database layer operating under absolute workspace context pathing to prevent runtime file sync collisions.
- AI Engine Optimization: Integrated OpenRouter
google/gemini-2.5-flashclient with explicitmax_tokensallocation guardrails to ensure free-tier compliance and ultra-low server latency.
git clone [https://github.com/s4eee/dsa-pattern-visualizer.git](https://github.com/s4eee/dsa-pattern-visualizer.git)
cd dsa-pattern-visualizer