At CoderPad, we believe in embracing new technologies, including the notorious ChatGPT. In the world of software development, we don\u2019t consider using Google or StackOverflow to help look up a function or using autocomplete and GitHub Copilot<\/a> for efficiency to be cheating. In fact, these tools increase efficiency and make your hard-working developers even more efficient.<\/p>\n\n\n\n They help developers to code smarter and more efficiently than they could have otherwise. We are not saying that the job of developers is to be an expert copy and paster, but rather to leverage tools available to develop more creative, well-thought out solutions in the limited time that they have. We find the modern conversation about the validity of using co-pilot and ChatGPT as a tool in interviewing as a similar conversation to the one we were having decades ago about StackOverflow and Google. <\/p>\nAmanda Richardson – CEO of CoderPad<\/cite><\/blockquote>\n\n\n\n Knowing how to use technologies is a skill that developers are expected to have and one that should be assessed for. We see models like ChatGPT as the next set of technologies – and these technologies help developers be better, but can\u2019t replace problem solving, creativity and logic. <\/p>\n\n\n\n \ud83d\udd16 Further reading:<\/strong> \u201cDon\u2019t Expect Candidates to Have Everything Memorized\u201d, the Dos and Don\u2019ts of Cheating Prevention With Nathan Sutter<\/a><\/p>\n<\/blockquote>\n\n\n\n While there’s no doubt GenAI has been and will be used for cheating, this concern can be mitigated with the right interview and assessment practices. In fact, by integrating AI into your process, you can gain a more accurate understanding of candidates’ skills and save valuable time.<\/p>\n\n\n\n We believe that building trust and transparency throughout the screening process is the most effective solution on multiple levels. This approach not only distinguishes your process from irrelevant or stressful hiring methods but also reduces the likelihood of candidates resorting to dishonest tactics by making them feel respected and valued. Therefore, you should:<\/p>\n\n\n\n By integrating these best practices, you can minimize cheating while also enhancing the overall candidate experience, ensuring a fair and effective assessment process.<\/p>\n\n\n\n Complex, realistic work-related questions not only resist AI manipulation but also offer a far more engaging experience.<\/p>\n\n\n\n Develop questions that address your business\u2019s current challenges and mirror real-world job scenarios. This approach will attract candidates who:<\/p>\n\n\n\n By crafting complex, iterative questions that require multiple steps or deeper understanding\u2014rather than simple, one-step questions\u2014you can significantly reduce the risk of cheating. These questions should involve:<\/p>\n\n\n\n These are areas where AI typically struggles to provide comprehensive answers without human-like context or reasoning. This strategy not only makes the assessment more relevant to the actual work the candidate would perform but also minimizes the chances of AI providing complete responses.<\/p>\n\n\n With that said, Gen AI can still be an effective and important part of this process, especially if your developers will be using it in their day-to-day jobs. <\/p>\n\n\n\n So how do you go about implementing this while addressing potential cheating concerns?<\/p>\n\n\n\n During the asynchronous technical assessment phase, allow candidates to use AI models to come up with answers. You can then follow up with written questions asking the candidate to critique the code produced by the model.<\/p>\n\n\n\n Another option available to you with CoderPad is to use an AI-generated and validated follow-up question<\/a>. If it detects a suspicious answer, our own ChatGPT integration will generate a follow-up question asking a candidate to explain a piece of their code and then validate the answer to ensure they understood what they were typing or pasting into the answer box.<\/p>\n\n\n\n During a live interview, we recommend spending time digging into the why behind the candidate\u2019s work. These technologies are a critical part of a developer\u2019s tool kit. <\/h2>\n\n\n\n
They prevent developers from recreating the wheel and instead allow them to move projects forward by creating the next wheel better and faster. <\/p>\n\n\n\n
Developers utilizing StackOverflow and Google for guidance on technical issues was also once seen as a threat to the recruiting process, as this was seen as a way for candidates to have an unfair advantage over candidates who did not know where to look for technical guidance.
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How should employers hire for developer talent in the world of GenAI? <\/h2>\n\n\n\n
Play the long game, build trust<\/h3>\n\n\n\n
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Create better questions <\/h3>\n\n\n\n
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<\/a><\/figure>\n<\/div>\n\n\nGen AI and the asyncronous technical assessment<\/h3>\n\n\n\n
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Allowing Gen AI during a live interview<\/h3>\n\n\n\n
Ask questions that help you to assess how the candidate is thinking and problem solving. Allow candidates to use ChatGPT<\/a> or other Gen AI to assist in problem solving and then talk through how you would approach a code review.
If you have concerns that the candidate used an AI model to develop code and just copied it, you can determine so by using CoderPad\u2019s playback feature. This allows the interviewer to playback the candidate\u2019s keystrokes and will make it obvious if code was copied and pasted in from an AI model. <\/p>\n\n\n\n
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