Modern technical interviews should evaluate candidates' ability to effectively use AI tools for coding, rather than banning AI or only assessing final code output; effective assessment platforms track every prompt and code edit to measure how candidates actually leverage AI during the development process, providing more accurate insights into their real-world engineering capabilities.
Deep Dive
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Deep Dive
Introducing SaffronAdded:
90% [music] of the code.
A cheating tool for our software engineering technical interviews.
We built Saffron to help you test how well your candidates use AI to code. We studied CS at MIT and Stanford, and while interviewing with top tech companies, we realized that the recruitment process was nothing like how engineers [music] actually work today.
Every engineer shifts with AI now.
But most assessments either ban it or can't tell you how it was used.
With Saffron, candidates build on a real code base with any AI tools, just like how they would on the job. Pick a repository, choose between a work trial or an assessment, and you're done.
While candidates work, we track every file they edit and prompt they write.
Finally, Saffron analyzes your candidates' code and prompts, so you can tell if they're using AI well.
With AI, it's never been more important to hire 10x engineers. And now, we're making it easy. Get started with Saffron today.
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