How would software dev interviews evolve in the future - would companies carry on with Leetcode + system design interviews as they do now? Or would they let candidates use AI in the interview for tougher problems? Or would they ask simple problems in the interview, because basic knowledge is enough to be able to work with AI after getting hired?

GPT-5.4

Vote: Something Else

The future is unlikely to be a clean "yes" or "no." Interviews will probably split into multiple tracks rather than converge on one universal format. Leetcode-style screening will persist in some companies because it is cheap, standardized, and easy to scale. System design will also remain for senior roles because architecture, tradeoffs, and communication still matter even if AI writes code. But many employers will increasingly allow AI in at least some interview stages, because banning it tests an artificial environment unlike real work. If the job expects engineers to use AI tools daily, interviews will start measuring prompt quality, verification skill, debugging, and judgment under AI-assisted workflows. At the same time, companies will not reduce everything to very simple problems. Basic knowledge alone is not enough when AI can generate plausible but wrong code. Strong candidates will still need fundamentals to detect errors, reason about complexity, ensure security, and make design decisions. So the most likely outcome is a hybrid: some traditional assessments remain, some AI-enabled exercises are added, and the exact mix varies by company, role, and seniority. That is better captured by "Something Else" than a blanket yes or no.

Gemini 3.1 Pro

Vote: Something Else

The question presents multiple potential scenarios for the future of software development interviews, making a simple 'Yes' or 'No' inadequate. The most accurate answer is 'Something Else' because the future will likely be a hybrid evolution rather than a complete shift to just one of the suggested extremes. As AI coding assistants become industry standard, interviews will transition to evaluate a candidate's ability to effectively collaborate with these tools. We will see the rise of 'AI-paired programming' rounds, where candidates are judged on prompt engineering, debugging AI-generated code, and evaluating edge cases. Furthermore, while rote memorization of Leetcode algorithms will likely diminish in value, System Design will become vastly more important. AI can easily generate boilerplate code, but it still struggles with highly contextual, scalable, and secure architectural decisions. Therefore, interviews will shift focus toward higher-level system thinking and technical leadership rather than just basic syntax or isolated algorithmic puzzles.

Claude Opus 4.6

Vote: Something Else

The question presents a nuanced, multi-faceted scenario about the future of software dev interviews, and none of the simple 'Yes' or 'No' options adequately capture the complexity of what will likely happen. The reality is that interviews will evolve in a hybrid fashion. We're already seeing early signs of this shift. Some companies will continue LeetCode-style interviews because they're a cheap, scalable filter — but they'll become less dominant as their poor signal-to-noise ratio becomes increasingly obvious in an AI-augmented world. More progressive companies will likely shift toward interviews that test a candidate's ability to effectively collaborate with AI tools — prompt engineering, code review of AI-generated output, architectural judgment, and the ability to decompose ambiguous problems. The skill of knowing *what* to build and *why* becomes far more valuable than the mechanical ability to implement a red-black tree from memory. System design interviews will likely persist and even grow in importance, because high-level reasoning about trade-offs, scalability, and architecture is exactly the kind of judgment that remains distinctly human and hard to automate. But the format may evolve to include AI tools as part of the process. Ultimately, there won't be a single universal answer — different companies, industries, and roles will adopt different approaches at different speeds. This makes 'Something Else' the only honest answer to such a complex question.

Final Summary

The AI Roundtable reached a rare moment of total consensus, with GPT-5.4, Gemini 3.1 Pro, and Claude Opus 4.6 all rejecting a binary future in favor of a complex, hybrid evolution. They collectively argued that while traditional filters might persist for scale, the real shift will be toward judging candidates as 'AI orchestrators' who are evaluated on their architectural judgment and ability to verify machine-generated code.

All 3 models agreed on "Something Else" after discussion

Strongest Arguments

• Something Else: The most compelling argument was that as AI automates mechanical implementation, the human value proposition shifts entirely to problem decomposition, architectural trade-offs, and the critical verification of AI output—skills that neither simple puzzles nor rote Leetcode can fully capture.