Great engineers aren't made by memorizing algorithm patterns. They're built through hands-on experience: debugging with logs, interpreting stack traces, and solving real engineering problems. real-swe helps companies assess candidates through real engineering tasks, while giving engineers a platform to practice the skills that actually matter.
Pick your preferred problem-mode, leverage the AI Agent, and solve realistic software engineering challenges.
A function is failing, logs are piling up, and it’s your mission to hunt down the bug and make it right.
Design, implement, test, and ship a new feature while meeting spec, security, and performance requirements.
Turn any GitHub repository into a tailored technical quiz. Our AI reads your codebase, identifies patterns and design choices, and generates interview-grade questions with detailed explanations.
Integration
GitHub Repositories
Detected Patterns
Sample Question
Why does the repo choose dependency inversion for the domain layer, and what tradeoffs does it introduce?