Solve. Run. Loop.
Interviews are AI-assisted now. FlowLoop teaches you to work with an AI pair programmer on realistic multi-file Python projects, then grades your solution with a real test suite instead of a single text box.
Practice the full engineering loop
Every problem is a small codebase. You read it, fix it, and prove it works, the same way interviews actually run now.
Solve
Open a multi-file Python project in the browser IDE. Read the code, find the gaps, and make your changes with an AI pair programmer on call.
Run
Press Run and your code executes against the real pytest suite in a sandbox. You get per-test results, tracebacks, and the full output.
Loop
Use the feedback to iterate. Ask the AI sharper questions, reveal a hint, and fix the next failure. That loop is the skill interviews measure.
An interview simulator that teaches as you go
Guided mode walks you through each problem phase by phase, like a good interviewer would. Explain your reasoning out loud or in writing and get instant, specific feedback. Then implement the fix and pass that phase's tests to unlock the next one.
- Answer by voice or text and get specific, actionable feedback
- Phase-scoped test runs keep you focused on one fix at a time
- Progressive hints when you get stuck, always free
- A full solution walkthrough when you finish
Walk through the bug the way you would for an interviewer, out loud or in writing.
Built for how interviews work in the AI era
AI pair programmer
Chat with an assistant that sees the problem and your files. It coaches and reviews your work, but it never writes the solution for you.
Multi-file projects
Real package layouts with modules, models, and tests, because real work is never a single function in a text box.
Real test execution
Your code runs against canonical pytest suites in an isolated sandbox, so a passing run means your solution actually works.
Guided phases
Structured walkthroughs that alternate reasoning questions with focused coding steps.
Speak your answers
Practice explaining decisions out loud with in-browser voice input. That is the half of the interview most people never practice.
Progress that sticks
Workspaces autosave and phase progress is tracked, so you can leave mid-problem and pick up exactly where you stopped.