Hassan Khan
In today’s fast moving tech world, if you hang around programmers long enough, you’ll probably hear them mention “Vibe Coding”. It’s the buzzword for letting AI spit out code so you can move faster. On paper, it sounds amazing like having an extra teammate who never gets tired. But talk to developers who’ve actually tried it, and you’ll hear a different story. Instead of less stress, many say they’re stuck cleaning up messy scripts, fixing weird bugs, and sometimes even starting all over again. What felt like a shortcut often ends up costing more time, more energy, and in some cases, real frustration.
A Shortcut That Isn’t Always Shorter
Vibe coding the practice of using AI tools to generate large chunks of code is becoming a daily reality for many developers. While the promise is speed and convenience, the reality often looks very different. Coders find themselves fixing half baked scripts, tracking down bugs, and checking for security flaws that AI quietly leaves behind. Instead of freeing up time, many senior engineers describe it as “Babysitting the bot.”
Developers Turned AI Babysitters
Industry veterans admit that AI Generated code can save hours when prototyping ideas or building user interfaces. Yet, they also say it comes with a hidden tax: time spent rewriting, verifying, and cleaning up messy code. In some cases, entire projects have been restarted because AI tools cut corners or created inconsistencies that slipped past initial reviews. For startups trying to move fast, this can mean emotional and financial setbacks.
Security Concerns Are Growing
Experts in software security warn that vibe coding often skips essential checks that human teams would never ignore. Vulnerabilities can creep in when AI focuses on speed rather than correctness. Startups, eager to build quickly, are especially at risk of exposing products to weaknesses that may only surface once users are involved. To counter this, some companies are introducing “safe vibe coding” policies requiring peer reviews and automated scans for every AI-written line of code.
The Future of Coding With AI
Despite the frustrations, developers aren’t giving up on vibe coding. Many agree that the technology has reshaped how projects begin, especially in brainstorming and scaffolding tasks. The tradeoff is clear: extra hours of debugging are now part of the process. Younger engineers see this as the “Innovation Tax” they’re willing to pay, believing that guiding AI systems will soon become as important as writing code itself.
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Balancing Speed With Responsibility
The lesson echoing across the industry is simple: AI can help, but it cannot replace human judgment. Treating AI like a junior teammate or stubborn teenager rather than a trusted employee might be the healthiest way forward. Vibe coding has opened new possibilities, but it has also reminded developers of the value of patience, review, and accountability.
Summary
This news highlights how experienced developers like Carla Rover and Feridoon Malekzadeh are turning to AI “Vibe coding” for speed but end up spending significant time fixing errors, security risks, and inefficiencies. While AI code accelerates prototyping, it demands constant human oversight making coders act more like babysitters than collaborators.
