We use cookies to personalize content and to analyze our traffic. Please decide if you are willing to accept cookies from our website.
Advanced Settings
Become A Client!
Tech Sketch

More Precise Vibe Coding with Spec-driven Development

Vibe coding has accelerated software development through rapid prototyping. However, the generated code may not match what is required sometimes. Spec-driven development can solve this problem by constraining AI’s creative wiggle room. CIOs and IT leaders can harness spec-driven development to ensure that AI-generated code is more consistent, accurate, and auditable.

Mon., 24. November 2025  |  4 min read
View All Articles

Anyone can quickly create a simple game, website, or application with vibe coding. A user prompts, and AI delivers. Unfortunately, this can be hit or miss if the prompt is ambiguous and the AI model is not guided properly. Even with the best efforts, an AI model could embrace its creativity and produce great code that does not match the requirements or behaves unexpectedly. There could be a gap between the developer’s intent and the AI’s output. Spec-driven development aims to solve this problem by ensuring that a developer’s intent is clear. GitHub’s open-source tool, called SpecKit, is one solution that follows this development methodology. CIOs and IT leaders can tap into AI’s speed with confidence in consistency, accuracy, and auditability by using spec-driven development.

What is Spec-driven Development?

This is a more disciplined and structured approach compared to vibe coding. A developer …

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
Tech Sketch

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
Tech Sketch

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.
Just Cache It (Part 1): Maintaining Context with APIs and LLMs
Tech Sketch

Just Cache It (Part 1): Maintaining Context with APIs and LLMs

It has become easier to create AI applications due to the ease of integration by using APIs. High cost is one challenge when frequent API calls are made to LLMs with similar content to add context. Prompt caching, or context caching, creates a cache to solve this challenge. AI engineers must use prompt caching to decrease inference fees and reduce latency.