Vibe Coding: Everyday People Are Building Hyper-Specific Apps With AI — And Loving It

A quiet but meaningful shift is underway in how ordinary people interact with technology. Non-coders — from account managers to firefighters to wedding planners — are using AI tools to build small, bespoke software solutions for their own daily frustrations. The trend, dubbed 'vibe coding,' isn't about disrupting industries or getting rich. It's about finally having the ability to fix your own problems: a grocery list sorted by store layout, a hair-wash-day tracker, a fantasy-league app for a reality TV show.

The tipping point arrived around November 2025, according to longtime coder and writer Paul Ford. Before that, AI-generated code was unreliable and needed constant hand-holding. The breakthrough came when models could write code, run it, catch their own bugs, and debug autonomously — a loop that coding-focused models from the major AI labs accelerated significantly. Unlike AI-generated prose or images — where quality is subjective and debatable — code has a binary standard: it either runs or it doesn't. That objectivity gave vibe coding a credibility that other AI outputs lack.

The community skews toward the delightfully specific. Shayan Mirzazadeh, 31, who failed computer science twice in college, built a Pilates flow tracker for his fiancée. His colleague Jayne Ingram-Roberts built a Big Brother fantasy league app and co-created 'Seatbee,' a wedding seating plan tool with over 200 users that lets couples set rules — like keeping a drunk uncle far from the bridal party. At a workshop run by the SiSTEM Collective, a New York group for Black and Latina women in tech, around 30 attendees built working app prototypes in a single session. Two participants built hair-wash-day routine trackers — exactly the kind of hyper-personal tool no commercial app would ever bother to make.

Researchers and practitioners see something genuinely different happening here compared to standard AI chatbot use. Rather than substituting AI for human thinking — which studies link to long-term cognitive deskilling — vibe coders are using AI to do something they couldn't do before, and picking up real skills in the process. One study compared the workflow to pottery: iterating on code with an AI model is like guiding a robot's hand as it shapes clay, learning when to redirect it. Entrepreneurs, Yale faculty, and software engineers alike describe a steep but rewarding learning curve. Kyle Jensen, who directs entrepreneurial programs at Yale's School of Management, has vibe-coded an SAT prep app, research tools, and search apps — and sees a 'massive explosion' of interest in his circles.

The broader appeal is partly a reaction to how commercial software has evolved. Enterprise apps chase scale, burying useful features behind paywalls or bloating interfaces with unwanted additions. Vibe-coded apps do the opposite — they start with one specific problem and build exactly what's needed, nothing more. There's no enshittification risk when you own the code. For AI skeptics, vibe coding offers a rare on-ramp: it demands critical thinking, rewards clear prompting, and produces something tangible. It won't automate your life, but it might tell you — based on your workout schedule and brunch plans — whether today is a good day to wash your hair.