Gin Coding Challenges on CodeSubmit
Are you hiring a developer who will need to work with Gin? Send your candidates a Gin-specific coding assignment to complete with their own tools and workflows. CodeSubmit is the only coding challenge platform to offer framework-specific coding assessments. Our library of Gin assignments allows you to assess real candidate competency in Go and Gin so that you can feel confident that your hiring decision is the right one.
Identify Top Gin Developers
Evaluate real Gin competency
If Gin is part of your stack, then you'll probably want to see how your candidates work with Gin, not just Golang. Discover how your candidates will fit into your existing dev team. Identify top performers, and rest easy knowing that your newest hire can hit the ground running on day one!
Create a great candidate experience
Hiring managers know that candidates dislike whiteboard tasks. Take-home coding assignments are a great remote-friendly alternative. Create a hiring process that attracts top technical talent by providing an excellent candidate experience. Build your employer brand, and hire the best talent in your industry.
How it works
Getting started is quick and easy! Create an account, choose a Gin coding assignment from our library or upload your own, and start inviting candidates. Our integrations and suite of review features make it easy to identify top performers!
Real tasks, not brainteasers.
Take-home Challenges
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.