Have you heard about Vibe Coding?
If you have been anywhere near the tech community lately, you have probably stumbled upon the Vibe Coding term. It is one of those concepts that sounds almost too casual to be revolutionary, yet it is reshaping how you approach coding, scripting, and automation.
If you manage devices with Microsoft Intune, automate tasks in Microsoft 365, or want to use AI to enhance your workflow - Vibe Coding might be the game-changer you have been looking for.
These are five reasons to explore Vibe Coding and how it can transform the way you work.
What is Vibe Coding?
Before diving into the reasons, let us establish what Vibe Coding actually is.
The term Vibe Coding was coined by Andrej Karpathy , a renowned AI researcher and former Director of AI at Tesla, in early 2025. He described it as a new way of programming where you “fully give in to the vibes, embrace exponentials, and forget that the code even exists.”
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In essence, Vibe Coding is about describing what you want in natural language and letting AI tools generate the code for you. Instead of meticulously writing every line, you collaborate with an AI assistant, guiding it with prompts, reviewing its suggestions, and iterating until the result matches your vision.
It’s not quite coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works.
This approach democratizes coding, making it accessible to people who may not have traditional programming backgrounds while also accelerating the workflow of experienced developers.
1. Vibe Coding lowers the barrier to entry
One of the most compelling reasons to explore Vibe Coding is that it dramatically lowers the barrier to entry for scripting and automation.
You do not need to be a seasoned developer to start building useful scripts. If you can describe what you want to achieve in plain language, you can use AI tools like GitHub Copilot to generate the code for you.
For IT professionals working with Microsoft Intune and Microsoft Graph API, this is particularly powerful. Imagine needing to pull device compliance reports, automate user provisioning, or extract analytics data. With Vibe Coding, you can describe your requirements, and the AI will help you craft the PowerShell scripts or API calls needed to accomplish the task.
Instead of spending hours researching Microsoft Graph API endpoints and syntax, you can focus on what you want to achieve rather than how to write the code.
This does not mean you can skip learning entirely. Understanding the fundamentals of what you are building is still crucial for reviewing, validating, and troubleshooting the generated code. But Vibe Coding accelerates the learning process by providing working examples that you can study and modify.
2. Vibe Coding accelerates your workflow
Time is one of your most precious resources, and Vibe Coding can significantly accelerate your workflow.
When I started using Visual Studio Code with GitHub Copilot , I noticed an immediate improvement in how quickly I could prototype and iterate on ideas. Tasks that would have taken hours of research, trial and error, and debugging could now be accomplished in a fraction of the time.
For device management and Microsoft 365 automation, this acceleration is invaluable. Whether you are building scripts to configure Windows Autopilot scenarios, managing endpoint security policies, or automating report generation from Microsoft Intune, Vibe Coding helps you move from idea to implementation faster than ever.
I have personally used Vibe Coding to review, develop, and extend my blog and its functionalities. From implementing new features in my Hugo-based site to optimizing existing code, the combination of Visual Studio Code and GitHub Copilot has been transformative. What once required extensive manual coding now flows naturally through collaboration with AI.
3. Vibe Coding helps you learn and grow
Contrary to what some might assume, Vibe Coding is not about replacing the need to learn. It is actually a powerful learning tool.
When you use AI to generate code, you are presented with working examples that you can study, understand, and internalize. Each interaction becomes a learning opportunity. You see patterns, discover best practices, and understand how different components work together.
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For those working with Microsoft Graph API, this is particularly educational. The API surface is vast, with hundreds of endpoints covering everything from user management to device configuration. Vibe Coding helps you navigate this complexity by generating examples that you can then explore and understand.
The key is to not just accept the generated code blindly. Review it, understand it, and learn from it. Ask the AI to explain its choices. Use it as a tutor, not just a code generator.
This approach has helped me deepen my understanding of PowerShell, Microsoft Graph API, and even web development technologies like Hugo templates and JavaScript. Every Vibe Coding session is an opportunity to expand your skills.
4. Vibe Coding enhances creativity and experimentation
Vibe Coding removes friction from the creative process, making it easier to experiment and explore ideas.
When the cost of trying something new is low, you are more likely to experiment. Want to see if you can build a custom dashboard for Microsoft Intune device compliance? Curious about automating a complex workflow in Microsoft 365? With Vibe Coding, you can quickly prototype these ideas without committing hours of development time upfront.
This experimental mindset is valuable for IT professionals who need to solve unique challenges in their environments. Every organization has specific requirements, and the ability to rapidly prototype solutions helps you find the right approach faster.
I have found this particularly useful when extending my blog. Ideas that I might have dismissed as “too complex” or “not worth the effort” became achievable experiments. Some worked brilliantly, others taught me valuable lessons, but all of them contributed to a more creative and innovative approach to problem-solving.
5. Vibe Coding positions you for the future
Vibe Coding positions you for the future because the tech industry is evolving rapidly and AI-assisted development is becoming an essential skill.
By starting now, you gain early fluency in collaborating with AI tools, crafting effective prompts, and validating AI-generated code - skills that will only become more valuable over time.
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Adding Vibe Coder to your LinkedIn profile is more than a trendy title. It signals that you are adaptive, forward-thinking, and willing to embrace new methodologies. It shows potential employers, clients, and collaborators that you understand how software development is changing and are equipped to thrive in it.
The future belongs to those who can effectively collaborate with AI, not compete against it.
For IT professionals in the Microsoft ecosystem, this is especially relevant. As Microsoft continues to integrate AI across its products and services, understanding how to use these capabilities will be a significant competitive advantage.
Getting started with Vibe Coding
If you are ready to explore Vibe Coding, here is how to get started:
- Get access to GitHub Copilot: I highly recommend getting access to GitHub Copilot features. It integrates seamlessly with Visual Studio Code and provides intelligent code suggestions as you work.
- Start with familiar problems: Begin by using Vibe Coding to solve problems you already understand. This helps you evaluate the quality of the AI-generated code and learn how to guide the AI effectively.
- Practice prompt engineering: Experiment with different ways of describing your requirements. The more specific and clear your prompts, the better the results.
- Review and learn: Do not just accept generated code. Review it, understand it, and use it as a learning opportunity.
- Share your experiences: As you develop your Vibe Coding skills, share what you learn with the community. This reinforces your learning and helps others on their journey.
Choosing the right language model
One aspect of Vibe Coding that is often overlooked is selecting the right language model for the task at hand. The market has exploded with options, and today there are dozens of language models available, each with different strengths, capabilities, and trade-offs.
GitHub Copilot provides access to multiple models, including options from OpenAI (GPT-4o, GPT-4.1), Anthropic (Claude Sonnet, Claude Opus), and Google (Gemini). Each model has its own characteristics:
- GPT-4o and GPT-4.1: Excellent for general-purpose coding, quick responses, and broad knowledge across programming languages.
- GPT-5.1: Optimized specifically for GitHub Copilot, delivering fast and accurate code completions with deep understanding of development workflows.
- Claude Sonnet and Claude Opus: Strong at following complex instructions, reasoning through problems, and providing detailed explanations.
In my Visual Studio Code and GitHub development setup, I typically use Claude Sonnet 4 for everyday coding tasks and quick iterations. For more complex challenges that require deeper reasoning or when I need extensive explanations, I switch to Claude Opus 4. When working on straightforward edits or completions, GPT-5.1 provides fast and reliable results.
Do not be afraid to try different models for the same task. You might be surprised how the results vary, and over time you will develop an intuition for which model to reach for.
The key is to experiment and find what works best for your specific use cases. Different models excel at different tasks, and part of becoming an effective Vibe Coder is learning when to switch between them. GitHub Copilot makes this easy by allowing you to select your preferred model directly in the chat interface.
Understanding GitHub Copilot modes
Another powerful aspect of Vibe Coding with GitHub Copilot is the ability to choose between different interaction modes, each designed for specific workflows and levels of autonomy.
GitHub Copilot in Visual Studio Code offers three primary modes:
Edit mode: In this mode, Copilot can make targeted edits to your code based on your instructions. You describe what you want to change, and Copilot proposes the modifications for you to review and accept.
Ask mode: This is the conversational mode where you can ask questions, get explanations, and receive code suggestions without any automatic file changes. It is perfect for learning, exploring ideas, or when you want to understand something before implementing it.
Agent mode: This is where the magic truly happens. Agent mode allows Copilot to work autonomously on more complex, multi-step tasks. It can create files, run terminal commands, iterate on solutions, and even test its own changes. Within Agent mode, you can also enable Plan mode, which takes a more deliberate approach. Instead of immediately executing tasks, Copilot first creates a detailed plan of what it intends to do. You can review, adjust, and approve the plan before any changes are made.
Each mode serves a different purpose, and understanding when to use each can enhance your Vibe Coding experience.
I prefer Agent mode because of the iterative workflow it enables. You can describe a complex task, watch Copilot work through it step by step, and see the changes being made in real-time. If something is not quite right, you can refine your prompt, and Copilot will adjust its approach accordingly.
The ability to work with your prompt in Agent mode, see the changes being applied, test them immediately, and then refine your prompt while staying in the same flow is pure magic. It transforms coding from a linear process into an interactive conversation.
I have found this especially valuable when building scripts for Microsoft Intune or working with Microsoft Graph API. Instead of writing code, testing it, finding issues, and manually fixing them, I can describe what I want, let Agent mode implement it, review the results, and provide feedback. It is a continuous loop of refinement that feels natural and productive.
For example, when developing a PowerShell script to automate remediation script reporting, I can start with a simple prompt in Agent mode. Copilot creates the initial script, I run it to see the results, notice that the output format needs adjustment, refine my prompt to specify the desired format, and Copilot updates the script accordingly. All without breaking the creative flow.
This iterative approach is what makes Vibe Coding so effective. You are not just generating code; you are collaborating with an AI partner that can adapt, learn from your feedback, and help you refine your solution in real-time.
The skills you still need
While Vibe Coding lowers the barrier to entry, it does not eliminate the need for certain skills. To be an effective Vibe Coder, you should develop:
- Critical thinking: The ability to evaluate AI-generated code, identify potential issues, and validate that it meets your requirements.
- Domain knowledge: Understanding of the systems you are working with, whether that is Microsoft Intune, Microsoft Graph API, or PowerShell scripting.
- Prompt engineering: The skill of crafting clear, specific prompts that guide the AI toward the desired outcome.
- Debugging and troubleshooting: AI-generated code is not always perfect. You need to be able to identify and fix issues.
- Security awareness: Understanding the security implications of the code you are deploying, especially when working with APIs and automation.
These skills complement Vibe Coding and ensure that you can use AI effectively while maintaining quality and security standards.
Start your Vibe Coding journey
Starting your Vibe Coding journey means embracing a fundamental shift in how you approach software development and automation. It is not about replacing traditional coding skills but augmenting them with AI capabilities that accelerate your work, enhance your creativity, and help you learn faster.
For IT professionals working with Microsoft Intune, Microsoft Graph API, and Microsoft 365, Vibe Coding offers a powerful way to build scripts, automate tasks, and extract insights without getting bogged down in syntax and documentation.
I have experienced the benefits firsthand through developing and extending my blog using Visual Studio Code and GitHub Copilot. The combination of human creativity and AI assistance has transformed how I approach problems and build solutions.
So, what are you waiting for? Embrace the vibes and start exploring what Vibe Coding can do for you. The future of coding is collaborative, creative, and more accessible than ever.
AI-assisted content disclosure
AI helped create the initial draft of this post. I reviewed, revised, and expanded the content with my own experience, views, links, and references. Even so, parts of the structure or wording may reflect that starting point.
AI supports my writing process, but I remain responsible for the accuracy, fairness, and conclusions of everything I publish. Read my AI transparency statement to learn how I use AI in content creation.
–Jesper
Header image attribution: Image created with help from Adobe Firefly
