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A major European bank is using vibe coding to build live trading infrastructure — and that single fact changes the conversation entirely.
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CIOs Are Now Handing the Tools to Everyone
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The same shift happening at ING is playing out inside companies that have nothing to do with trading. Enterprise CIOs are now actively pushing non-technical business users to build their own internal tools using AI-assisted development. iCore, a healthcare technology provider, has extended AI-assisted coding beyond its engineering team to operations and client success staff — with COO Thiago Soares reporting the hardest part wasn't the technology, it was convincing people they could do it at all.
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Where Vibe Coding Stops and Real Engineering Begins
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Once a project moves past the prototype stage, the vibe coding model starts to strain. System design, security, scalability, and long-term maintainability are all areas where the AI-assisted intuition loop breaks down and professional engineering judgment becomes irreplaceable. The productivity gains are real — but they belong to a specific phase of the work, not the whole job.
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The Legal Trap Hidden Inside Every Vibe-Coded App
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Bloomberg Law identifies the specific legal fault line: developers feeding sensitive data into AI models without understanding where it goes or how it's stored. The speed and accessibility that make vibe coding attractive are precisely the qualities that produce sloppy data handling, insecure output, and quiet regulatory violations. Privacy compliance requires deliberate human review — and the vibe coding workflow, by design, discourages slowing down.
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The Backlash Goes Mainstream
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Business Insider published a wave of reader responses pushing back hard on the trend, surfacing concerns about code quality, security exposure, and the signal it sends about the value of engineering skill. The volume and tone of the criticism suggest vibe coding has moved past the honeymoon phase and into something harder: a credibility test with a skeptical mainstream audience.
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Vibe Coding: Genuine Skill or Overhyped Trend?
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A critical examination of vibe coding — the practice of using AI to generate code through natural language prompts — questions whether it represents a genuine new mastery or just a passing buzzword. The piece weighs the productivity gains claimed by practitioners against concerns that it bypasses fundamental engineering understanding. The debate centers on whether vibe coding produces maintainable, reliable software or just fast, fragile prototypes.
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As vibe coding gains mainstream attention, this debate cuts to the core question every developer needs to answer: is it a legitimate workflow or a shortcut that creates more problems than it solves?
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Buried beneath all the enterprise adoption news is a more fundamental question nobody has fully answered: does vibe coding produce a genuine, transferable skill — or does it just produce results? The piece doesn't take sides, which is exactly what makes it worth reading. If practitioners can't articulate what they've actually learned from the process, the workflow may be building dependency faster than it's building capability.
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