
AI Code Training Platform
AI Code Training Platform is an interactive demonstration built for a Backend Software Engineer – AI Trainer role at DataAnnotation. It showcases five integrated capabilities: a Challenge Designer for authoring well-structured coding problems (constraints, I/O examples, hidden test cases) with a live preview panel and an 8-problem pre-seeded library spanning Easy to Expert difficulty; a Language Showcase presenting 5 classic algorithms (Binary Search, LRU Cache, Graph BFS, Quicksort, Fibonacci) each implemented in JavaScript, TypeScript, Python, Go, and Java with inline syntax highlighting and time/space complexity badges; a Code Evaluator that ingests a pasted solution, runs it against 5 test cases, surfaces categorized issues (Critical/Warning/Info) with line references, and reports code quality metrics including cyclomatic complexity and naming conventions; a Feedback Studio for reviewing AI-generated code submissions across four scored dimensions (Correctness, Efficiency, Clarity, Robustness) with free-form feedback and submission workflow; and an Analytics Dashboard with KPI cards, Canvas-rendered charts (language distribution, difficulty donut, 12-week quality trend, category bars), activity feed, contributor leaderboard, and per-category data quality breakdown table.
Interactive Demo
Run the interactive demo directly in this page, or open it in a dedicated tab for full-screen testing.
Demo Size
This interactive demo allows you to try AI Code Training Platform. Use keyboard navigation to interact with the embedded content.
Project Information
Technology Stack
How to Use AI Code Training Platform
Follow this interactive guide to learn all the features and how to use this application effectively.
Challenge Designer
Author coding challenges for AI training.
Instructions
- Create problem statements with constraints
- Define input/output examples
- Add hidden test cases for validation
- Live preview shows formatted problem
Pro Tips
- Clear problem statements improve AI understanding
- Include edge cases in test scenarios
Step 1 of 3
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