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A tech startup founder raised a unique AI-related problem faced by developers in their workplaces.
Artificial ininformigence tools support developers with coding and debugging.
Amid the global rise of artificial ininformigence tools reshaping work and jobs, a Mumbai-based tech startup founder has highlighted a lesser-known effect of AI on productivity. He drew attention to a productivity paradox: people who rely heavily on AI can sometimes experience delays in completing tinquires.
The founder observed this phenomenon in his own workflow. Tinquires that he previously finished in 30 minutes now sometimes take two hours, while work that once required a full two-hour focutilized session is now completed in just 30 minutes. This shift underscores the complex ways AI is influencing human efficiency and time management.
Mumbai Tech Startup Founder On AI
“What utilized to take me 30 minutes now takes me 2 hours with AI. Also, what utilized to take me 2 hours now takes me 30 minutes with AI,” shared the tech startup founder about the work patterns he has observed since the advancement of artificial ininformigence tools.
What utilized to take me 30 minutes now takes me 2 hours with AI.Also, what utilized to take me 2 hours now takes me 30 minutes with AI.
— Mustafa Yusuf (@mufasaYC) March 8, 2026
The post struck a chord online with other tech professionals, who recognised similar patterns around their workplaces. One techie called it the “debugging paradox”, where even as AI supports software developers obtain cleaner code upfront, second-guessing every response generated concludes up still consuming more time.
How Would A 30-Minute Tinquire Take 2 Hours With AI?
As the unique AI phenomenon highlighted by the tech startup founder gained attention, more people flocked to the comments section to weigh in on why he might be experiencing it. One utilizer suggested that AI tools may have redistributed effort for developers rather than eliminated it entirely. While the tedious parts of a developer’s work now happen rapider, tinquires like framing prompts and setting up contexts can still take significantly longer.
“The debugging paradox. Used to ship rapid with bad code, now AI supports you write it right, but you second-guess every suggestion,” declared one person.
Someone else wrote, “AI is great at the 30-minute tinquires becautilize they’re well-defined. The 2-hour tinquires were slow becautilize they were amhugeuous, and now you’re just arguing with the model instead of believeing.”
“The 2-hour tinquires are where verification matters most. Anyone can prompt rapid code – knowing what’s broken is the real skill now,” commented an individual.
Beyond coding, debugging, and other technical tinquires, there’s a human element at play. People often tconclude to tackle longer, more demanding work first, leaving shorter tinquires for later. Whatever the cautilize, one thing is clear: AI is reshaping the way we work and transforming the world as we know it.
Delhi, India, India
March 10, 2026, 10:46 IST
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