Flask Coding Assignments on CodeSubmit
Hiring Python developers who need to know Flask? Send your candidates Flask coding assignments, and identify top candidates based on their skills. CodeSubmit provides a library of real-world Flask coding tests that replicate real, on-the-job development. Hire your next Flask developer with confidence!
Identify Top Flask Candidates
Evaluate Flask coding skills
Hire your next dev based on their ability to build in your stack. Python assignments might work by themselves, but our Flask coding challenges reveal candidates' ability and familiarity using Flask. Rest easy knowing that your next hire is ready to hit the ground running.
Create a great interview experience
Nobody loves a whiteboard interview. Candidate-friendly take-home challenges help your team attract and hire top talent in your industry. We are committed to providing a best-in-class candidate experience via our software, ensuring that our clients' technical interviews are running smoothly.
Try asking some of The Best Flask Interview Questions in your next interview.
How it works
CodeSubmit works for companies of all sizes. Whether you’re already using take-homes or you’re just getting started, CodeSubmit makes the process easy. Create an account, choose a Flask assignment from our library or upload your own, and start inviting candidates. Our review features make identifying top performers easy.
Real tasks, not brainteasers.
Our library of real-world tasks gives you an accurate measure of every candidate’s coding skills, whilst providing them with a fair and considerate interview experience.
- Real engineering tasks:
- With coding challenges that simulate real work, CodeSubmit is helping the best engineering teams hire faster, smarter, and more equitably.
- Extensive Library:
- Choose from hundreds of coding challenges, from junior to senior architect, covering all major programming languages and frameworks -- or upload your own.
- Natural candidate experience:
- Our innovative GIT-based workflow allows candidates to work on their own machines, with their own tools, and in their own time.