Whereas it could not totally assist land a job, GitHub has historically served as a developer’s portfolio, providing a public document of coding exercise, tasks, and contributions. Nonetheless, with the rise of AI-assisted instruments like Cursor, it’s now doable to construct a whole GitHub profile with out truly figuring out tips on how to code.
By prompting pure language into instruments like Cursor, customers can auto-generate code, construction repositories, and commit modifications that mimic the workflow of a seasoned developer. On paper, the profile seems to be energetic, considerate, and technically spectacular. In actuality, it might have been created by somebody with no technical background. This raises a crucial query: does this create a false sense of talent for employers or fellow builders reviewing such profiles?
The Rise of AI Coding Instruments
AIM lately examined Cursor, a preferred AI-powered coding IDE, and confirmed that it’s totally doable to construct a GitHub portfolio, full with repositories, commits, and a number of tasks, with out writing a single line of code.
Instruments like Cursor, Windsurf and Lovable are quick turning non-coders into pseudo-developers. Nonetheless, this shift raises doubts in regards to the significance of GitHub contributions.
Conventional IDEs like VS Code, JetBrains, or PyCharm as soon as served because the battle-hardened instruments of programmers. But, the attraction of natural-language-based improvement has grown. Cursor, which is basically a VS Code fork with generative AI on high, makes the IDE expertise appear nearly out of date.
Whereas Microsoft has already added AI capabilities to VS Code, AI coding instruments don’t appear to be going wherever quickly.
The basic shift means that writing boilerplate code is not the first bottleneck. Furthermore, even when AI coding current challenges, builders nonetheless depend on it in by hook or by crook. As per a report on AI Developments by Bondcap, the variety of AI developer repositories on GitHub elevated by roughly 175% over 16 months between November 2022 and March 2024.
All issues thought-about, AI-generated GitHub exercise may quickly be indistinguishable from that of human builders.
What Builders Need to Say
This democratisation of coding energy utilizing these AI instruments brings an moral {and professional} dilemma. Eduard Ruzga, a workers engineer at Prezi, informed AIM that he doesn’t depend on GitHub exercise as a hiring sign. “I might have a look at PRs if I needed to find out about a possible candidate…There are different issues that spike exercise with out actual work,” he famous. What issues, in line with him, is the reasoning and code high quality.
Pratham Patel, a software program engineer, broke the difficulty down into two components. “Utilizing one thing like Cursor offers you an edge within the candidate filtering course of, however previous that, interviewers will ask you to not use any sort of help,” he stated whereas chatting with AIM.
Nonetheless, he identified that a number of firms, like Klarna, are already recommending AI instruments internally to hurry up improvement. He defined that the first goal is to make sure engineers develop into accustomed to AI’s enduring presence. The sensible utility of AI is a separate consideration. Nonetheless, adapting to it presents benefits, no matter its fast helpfulness. If it proves invaluable, it’s advantageous. If not, people will develop the power to recognise and doubtlessly disregard its limitations.
Nonetheless, the true concern lies in resume filtering. AI-generated contributions may unfairly increase a candidate’s portfolio. Agreeing with the sentiment, Patel stated, “It helps the candidate within the resume filtering course of, unfairly.”
Coding Credibility Disaster
For these genuinely expert in coding, this might really feel like betrayal. That is very true in India’s IT sector, the place AI threatens to additional erode the worth of programming experience. Tanay Pratap, YouTuber and founding father of Invact Metaversity, highlighted at MLDS 2025, “Indian IT providers don’t code.” The sector, constructed on service-based fashions and testing contracts, may discover its largest workforce changed, not upskilled, by AI instruments.
Generative IDEs received’t change the necessity for precise coding data in relation to debugging, system design, or dealing with large-scale deployments. Nonetheless, if GitHub profiles could be automated, it throws a wrench into how hiring managers assess expertise. It’s not nearly whether or not somebody can code, however whether or not they truly did.
The longer term may not care who typed the code, so long as it really works. However for now, the blurred line between talent and simulation stays a threat.
The publish Are Builders Faking it on GitHub Utilizing AI Coding Instruments? appeared first on Analytics India Journal.
