Practice real work

not interview tricks.

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.

Solve Like a Software Engineer

Pick your preferred problem-mode, leverage the AI Agent, and solve realistic software engineering challenges.

Debug Mode

A function is failing, logs are piling up, and it’s your mission to hunt down the bug and make it right.

Create a Feature Mode

Design, implement, test, and ship a new feature while meeting spec, security, and performance requirements.

Career AI

Know Your Repo

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.

  • Role‑aware questions based on your target job
  • Explains answers with code references and architecture context
  • Works for your repos or public GitHub projects

Integration

GitHub Repositories

repo analysis
AI insights

Detected Patterns

  • Modular monorepo layout
  • Clean architecture layering
  • Clear error boundaries

Sample Question

Why does the repo choose dependency inversion for the domain layer, and what tradeoffs does it introduce?