
DojoCode
DojoCode is a hands-on coding platform where developers build real, working projects in the browser with automated tests and instant feedback. It offers curated skill paths, guided courses, and timed contests, plus team training tools with analytics and AI-assisted instruction. The platform measures actual coding ability rather than just completed homework, which is increasingly important in an AI-assisted development world.
- Education Technology
- Developer Tools
- Artificial Intelligence
- Software Only
- AI Agents
- Data & Analytics
- HR Technology
Funding
Founders
Product
Problem
Traditional coding education relies on tutorials and quizzes that don't demonstrate what someone can actually build independently. Hand-reviewing every learner's code doesn't scale for schools and teams, and AI tools can now complete homework assignments, making finished code alone an unreliable proof of skill.
Solution
DojoCode provides a platform where developers practice on real-world coding challenges that run as working projects in the browser, complete with automated tests and instant feedback. The platform includes curated skill paths that map progress to concrete competencies, guided learning paths that pair short lessons with hands-on challenges, and timed code contests that benchmark developers against peers. An AI assistant named Alex teaches theory, checks understanding, and generates personalized learning paths based on a user's skills, languages, and experience level. For organizations, DojoCode offers training tracks, scenario-based contests, and detailed analytics that show measurable skill progress and collective weaknesses across teams. The platform also includes a Trainer mode that runs training programs conversationally, pulling live data to review progress, compare group performance, and create assignments.
Target Audience
Primary users are software developers seeking to prove and improve their skills, along with companies and educational institutions that need to train teams and measure coding competency with automated evaluation.
Features
- Browser-based coding challenges that are working projects with real code, real tests, and real output
- Automated evaluation system that grades code instantly without manual review
- Skill tracks covering domains like caching, data structures, security, AI agents, and automation
- AI-powered learning assistant that generates personalized paths and checks understanding before practice
- Timed code contests with leaderboards for benchmarking against other developers
- Training tools for teams including assignments with deadlines, per-person extensions, and autograding
- Analytics dashboard showing skill coverage, strengths, weaknesses, and training priorities
- Report generation with PDF and CSV export for group statistics and contest results
- Trainer mode that runs training programs conversationally with live data
- Per-attempt submission detail including time spent and AI prompts used