The New Interview Playbook
Imagine this: a recent graduate is in a remote technical interview, faced with a complex coding problem. On one screen is the interviewer, and on another, unseen, is an AI chatbot. As the candidate listens, they are also crafting prompts, feeding the problem to
the AI, and receiving a near-perfect solution in seconds. This isn’t a scene from science fiction; it's happening right now. Armed with tools like ChatGPT, new graduates are turning to AI to navigate the punishing technical rounds that define entry into the tech world. This practice ranges from getting a hint on a tough algorithm to generating an entire block of code, which the candidate then explains as their own. The use of these AI 'co-pilots' has become a contentious secret in the job-seeking community.
More Than Just Copy-Paste?
Defenders of the practice argue that it isn't simple cheating. Instead, they frame it as a new skill: prompt engineering. To get a usable solution from an AI, a candidate must understand the problem deeply enough to ask the right questions. They need to break down the task, provide the right context, and critically evaluate the AI's output. A poorly worded prompt will yield useless code. Furthermore, the candidate still has to understand and explain the AI-generated code, including its logic, trade-offs, and complexity. Those who do this successfully argue they are demonstrating a modern and relevant skill—leveraging advanced tools to solve problems efficiently, which is what they will be expected to do on the job.
Why Grads Are Turning to AI
The pressure on new graduates in India's tech market is immense. They face interviews that often feel detached from real-world work, focusing on obscure algorithmic puzzles that reward memorization. Many candidates see AI as a way to level a playing field they feel is tilted against them. They argue it helps them bypass the anxiety of a high-pressure, live-coding environment and focus on demonstrating their problem-solving thought process. For them, using an AI tool is no different from using Google or Stack Overflow, resources developers use daily. It's an adaptation to a system that many feel is overdue for a change.
Recruiters and Companies Are Catching On
Employers are not oblivious to this trend. Many companies are now actively changing their interview processes to account for the presence of AI. Some have started allowing the use of AI tools openly, shifting the evaluation from writing code to directing the AI and explaining its output. Others are developing new techniques to detect AI over-reliance. Telltale signs include unnatural pauses as the candidate waits for an answer, eyes scanning off-screen, or perfect code appearing instantly, followed by a weak explanation. Interviewers are being trained to ask more probing follow-up questions about trade-offs and edge cases—areas where someone who simply copied the code will falter.
The Line Between a Tool and a Crutch
The core of the debate is whether using AI in an interview is a legitimate use of a tool or an unethical crutch that misrepresents a candidate's true ability. There is a growing consensus that simply banning these tools is like trying to hold back the tide. AI is becoming a fundamental part of a developer's toolkit. The ethical line seems to be drawn at ownership and understanding. If a candidate uses AI to generate code they don't comprehend, they are being dishonest. However, if they use it as a collaborator to explore solutions they can then master and defend, some argue it's a demonstration of resourcefulness.
The Future of Technical Hiring
This trend signals a permanent shift in how technical skill is defined and assessed. Companies that cling to old-school, memory-based coding tests may find themselves hiring people who are good at passing tests but not at building software in a modern, AI-assisted world. The future of technical interviews will likely focus less on a candidate’s ability to write flawless code from memory and more on their ability to think critically, architect systems, and collaborate—both with humans and with AI. For new graduates, the message is clear: learn to use AI as a tool to deepen your understanding, not as a shortcut to bypass it. The goal is to be the engineer who can direct the AI, not just the one who can be replaced by it.
