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Vibe Coding Executive Guide

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September 17, 2025

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The inevitable rise of AI-driven development, known as "vibe coding," is forcing technology leaders to confront a dual mandate: leverage AI for innovation while upholding security, stability, and governance. This paradigm, where natural language is the primary tool for creating software, is already a significant market force being adopted by teams worldwide. Unmanaged, this grassroots movement introduces critical enterprise risks, but when harnessed correctly, it can be a powerful accelerator.

  • Security: AI-generated code consistently contains vulnerabilities, from hardcoded secrets to prompt injection risks, creating a new, unmanaged attack surface.
  • Technical Debt: The focus on speed over architectural integrity creates a "hidden factory" of duplicative, poorly structured code that increases maintenance costs and undermines future AI ROI.
  • Competency Gaps: An over-reliance on AI tools risks the erosion of critical engineering skills—the very systems thinking and architectural judgment needed to solve complex business problems.

This whitepaper provides a strategic framework to build the bridge from chaotic AI experimentation to governed, production-grade innovation.

Download the whitepaper to understand the risks and build a robust AI strategy for your organization.

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Whitepaper

The inevitable rise of AI-driven development, known as "vibe coding," is forcing technology leaders to confront a dual mandate: leverage AI for innovation while upholding security, stability, and governance. This paradigm, where natural language is the primary tool for creating software, is already a significant market force being adopted by teams worldwide. Unmanaged, this grassroots movement introduces critical enterprise risks, but when harnessed correctly, it can be a powerful accelerator.

  • Security: AI-generated code consistently contains vulnerabilities, from hardcoded secrets to prompt injection risks, creating a new, unmanaged attack surface.
  • Technical Debt: The focus on speed over architectural integrity creates a "hidden factory" of duplicative, poorly structured code that increases maintenance costs and undermines future AI ROI.
  • Competency Gaps: An over-reliance on AI tools risks the erosion of critical engineering skills—the very systems thinking and architectural judgment needed to solve complex business problems.

This whitepaper provides a strategic framework to build the bridge from chaotic AI experimentation to governed, production-grade innovation.

Download the whitepaper to understand the risks and build a robust AI strategy for your organization.

Vibe Coding Executive Guide

Manage the risks of "vibe coding" and AI-driven development. This executive guide details the security, technical debt, and financial risks and provides a strategic framework for enterprise-grade AI.
| Case Study
Vibe Coding Executive Guide

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The inevitable rise of AI-driven development, known as "vibe coding," is forcing technology leaders to confront a dual mandate: leverage AI for innovation while upholding security, stability, and governance. This paradigm, where natural language is the primary tool for creating software, is already a significant market force being adopted by teams worldwide. Unmanaged, this grassroots movement introduces critical enterprise risks, but when harnessed correctly, it can be a powerful accelerator.

  • Security: AI-generated code consistently contains vulnerabilities, from hardcoded secrets to prompt injection risks, creating a new, unmanaged attack surface.
  • Technical Debt: The focus on speed over architectural integrity creates a "hidden factory" of duplicative, poorly structured code that increases maintenance costs and undermines future AI ROI.
  • Competency Gaps: An over-reliance on AI tools risks the erosion of critical engineering skills—the very systems thinking and architectural judgment needed to solve complex business problems.

This whitepaper provides a strategic framework to build the bridge from chaotic AI experimentation to governed, production-grade innovation.

Download the whitepaper to understand the risks and build a robust AI strategy for your organization.

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Neal Gilmore
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