We use cookies to personalize content and to analyze our traffic. Please decide if you are willing to accept cookies from our website.

Less Vibes, Better Development: Making Vibe Coding Enterprise-Ready

Mon., 7. July 2025 | 3 min read

In the fast-paced world of software development, vibe coding has emerged as a popular approach, leveraging AI tools to rapidly generate code through natural language prompts. This method allows developers to quickly prototype and build applications without delving deeply into traditional coding practices. However, while vibe coding offers speed and convenience, it introduces significant security risks that cannot be overlooked. Implementing robust security practices is essential to mitigate the associated risks. By adopting a proactive approach to security, CIOs and IT leaders can harness the benefits of vibe coding without compromising the integrity and safety of their applications.

When the Vibes Turn Sour

Vibe often introduces critical security vulnerabilities that can compromise application integrity. These vulnerabilities include:

  1. Limited testing. The rapid development cycle encouraged by vibe coding often leads to insufficient testing. This can result in the deployment of applications with undetected flaws, which …

Tactive Research Group Subscription

To access the complete article, you must be a member. Become a member to get exclusive access to the latest insights, survey invitations, and tailored marketing communications. Stay ahead with us.

Become a Client!

Similar Articles

Navigate Regulations with LLM-Assisted Compliance Strategies

Navigate Regulations with LLM-Assisted Compliance Strategies

The increase in regulatory requirements, such as the European Union AI Act, the General Data Protection Regulation (GDPR) and others, heralds an era of increased complexity and scrutiny. This has seen SMEs face challenges in implementing robust compliance strategies to address the myriad of tech regulations and requirements. Large Language Models (LLMs) have been seen as a viable option to assist with the complex nature of these requirements. Tech leaders and compliance officers should understand how they can use this emerging technology to enhance their regulatory compliance.
AI-Driven Enterprise Search: What IT Leaders Need to Understand

AI-Driven Enterprise Search: What IT Leaders Need to Understand

Traditional web searches can be irritating to employees who must use complex queries because the system does not understand what they want. AI-powered search (or an AI search engine) mitigates these issues by understanding context while providing summaries, conversation functionality, and citing sources. IT leaders should read this article to understand how AI search engines work and how choose the best solution for their needs.
AI Bill of Materials (AIBOM) - Strengthening AI Integrity and Transparency

AI Bill of Materials (AIBOM) - Strengthening AI Integrity and Transparency

The widespread adoption of Generative AI (GenAI) in applications offers substantial advantages but also introduces various threats because of the myriad components they comprise. To ensure the integrity of AI/ML systems, organizations should manage every component through an AI Bill of Materials (AIBOM) to inventory the data, models, and infrastructure used. Developers, data scientists, and security experts should advance their AI maturity by adopting AIBOMs to secure and optimize their AI systems.