This is quite interesting.

Forbes recently published an article with a bold title: Vibe Coding Will Break Your Company. Honestly, the headline made me laugh—with AI-generated code being all the rage, someone finally decided to pour cold water on the hype.

The core argument boils down to this: AI-assisted programming (they call it “Vibe Coding”) might wreck companies—not technically, but organizationally.

The first blow hits team structure.
Traditional dev teams follow a pyramid: junior engineers write foundational code, seniors oversee architecture, and Tech Leads make strategic decisions. Now that AI handles the grunt work, what’s left for junior devs? Should seniors waste time fixing AI-generated shit code? Management suddenly realizes their headcount-based KPIs are in chaos.

The second cut is deeper: code quality.
AI churns out code fast, but like fast food—overindulgence leads to problems. The article highlights a critical issue: when everyone can “code by talking,” who bothers to scrutinize implementation logic? Technical debt then compounds like loan shark interest. Worse, security vulnerabilities emerge, and AI won’t take the blame.

The irony? Developers themselves.
Job postings now prioritize “prompt-tuning AI” over “writing algorithms.” But think about it: if debugging AI prompts becomes a core skill, how is that different from the mocked “PowerPoint programmers” of a decade ago?

These concerns are valid. At my company, after using Copilot for half a year, we’ve faced:

  • New hires submitting AI-generated code that “works” but ignores optimization
  • Tech reviews where no one can explain a module’s design rationale
  • Security scans flagging outdated libraries AI pulled in

But Forbes missed a key point: this isn’t a tech problem—it’s a management problem.

When GitHub replaced SVN, people screamed, “Version control is doomed.” What happened? Strong teams used it to collaborate faster; weak ones created chaos. AI coding tools are the same—they amplify a team’s existing strengths and flaws.

My advice is straightforward:

  1. Treat AI-generated code like a peer’s work—review it, don’t treat it as magic.
  2. Slow down if needed, but always ask: Why this solution?
  3. Train teams not just on tool usage, but on critical thinking.

Lastly, a gripe about the term “Vibe Coding.” Silicon Valley loves these vague buzzwords—it’s just “AI-assisted debugging,” not some new religion.

(Original article here: https://www.forbes.com/sites/example/vibe-coding-will-break-your-company)