AI-generated video
Vibe Coding, code optimisation
and quality gates.
AI now writes large parts of the code — faster than teams can review it. This series covers what comes next: how AI-generated code can be measured, checked and secured, which metrics actually hold up, and at which point a gate is worth more than a review.
Vibe Coding at Work: Seven Rules That Make the Difference
Banning AI tools does not work, and letting them run unchecked does not either. A policy that fits on one page and holds up in daily practice.
Vibe Coding or Agentic Coding? The Difference That Decides Liability
Both terms describe working with AI, but only one describes a process someone can actually take responsibility for. Where the line runs and why it matters in practice.
Vibe Coding Tools Compared: Claude Code, Cursor, Copilot, and the Builder Kits
Four tool classes, four use cases. Which tool fits which task, and why one question matters more before choosing than any feature.
Vibe Coding: Risks, Security Vulnerabilities, and What Actually Helps
Almost half of AI-generated code fails security tests. Which gaps are typical, why they occur, and which countermeasures work, measurably.
What Is Vibe Coding? Definition, Process, and Limits
Vibe coding means: you describe in natural language what should be built, and the AI writes the code. Where the term comes from, how it works, and where it stops.
All images in this overview are AI-generated illustrations.AI transparency
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