The Rise of Vibe Coding — and What It Means for PMs
by Woo Yi Ting • 2 March 2026
The Rise of Vibe Coding — and What It Means for PMs
by Woo Yi Ting • 2 March 2026
In recent years, a new approach to building software has started gaining traction in the tech industry: vibe coding.
Instead of writing every line of code manually, developers and builders increasingly rely on AI tools to generate code based on natural language prompts.
The builder focuses on describing what they want to create, while the AI handles much of the technical implementation. This shift is lowering the barrier to building digital products and enabling faster experimentation.
For students interested in Product Management, vibe coding is particularly relevant. As AI tools become more powerful, the ability to quickly prototype and test product ideas is becoming an important skill.
Why Vibe Coding Is Emerging Now?
Recent breakthroughs in large language models (LLMs) have significantly improved their ability to understand natural language and generate functional, high-quality code. This enables users to describe what they want to build in plain language, while the AI handles much of the technical implementation.
Startups and product teams increasingly prioritize speed and iteration. AI-assisted coding enables teams to prototype features quickly and test ideas with users earlier in the development cycle, reducing the time required to validate product concepts.
Vibe coding allows people without formal engineering backgrounds—such as designers, entrepreneurs, or product managers—to create working software by expressing ideas in plain language. By reducing the need for technical expertise, it makes software development more accessible and empowers a broader range of people to turn ideas into reality.
What It Means for Product Managers?
Vibe coding does not replace PMs. Instead, it changes how PMs work.
Vibe coding allows PMs to quickly turn product ideas into working prototypes. Instead of writing detailed product requirement documents and going through multiple rounds of back-and-forth with engineering teams, PMs can directly design, test, and iterate on prototypes themselves using AI-assisted tools.
By building quick MVPs, PMs can test ideas with users earlier. This helps validate whether a feature actually solves a real problem before significant engineering time and resources are committed.
Using vibe coding tools helps PMs better understand how products are built. While they don’t need to become engineers, having the ability to experiment with simple builds improves communication with engineering teams and strengthens technical intuition.
How Students Can Use Vibe Coding to Build Products
Vibe coding is an incredible opportunity for students to bring their ideas to life, even without a strong technical background.
Here's a possible roadmap:
1. Identify a problem: Start by identifying a real problem you want to solve. Ask yourself: What problem do you want to solve? Who is your target audience?
2. Choose your tool: Select a vibe coding platform that aligns with your needs and skill level. Some tools are beginner-friendly and allow you to generate simple apps quickly, while others provide more flexibility for building complex applications.
Beginner-Friendly Tools
Cloud-based coding environment with built-in AI assistants
Allows users to generate, run, and deploy apps directly in the browser
Particularly useful for beginners because it includes hosting and collaboration features.
AI-powered full-stack app builder designed for non-technical users
Allows users to generate and modify web applications simply through prompts
Supports targeted changes by selecting parts of an app and asking AI to update them.
More Advanced Tools
AI-powered code editor built on a VS Code environment
Allows developers to generate, refactor, and debug code through natural language prompts.
One of the most widely used AI coding assistants
Provides real-time code suggestions and automation inside popular coding environments like VS Code.
3. Build a Minimum Viable Product (MVP): Focus on building the simplest version of your product that delivers the core value. Avoid trying to create a perfect product immediately. Start small, prioritize the key functionality, and ensure the user experience is clear and intuitive.
4. Test and gather feedback: Once the MVP is ready, share it with potential users. Observe how they interact with the product, gather feedback, and identify what works well or needs improvement.
5. Learn and iterate: Vibe coding encourages rapid experimentation. Builders can quickly refine their product based on feedback, continuously improving the idea. Iteration is a critical part of the process—many successful products evolve significantly from their initial concept.
Putting it into Practice: Hackathon with Vibe Coding
Hackathons are one of the clearest examples of how vibe coding is changing the way products are built.
In traditional hackathons, teams often spend a large portion of their time setting up infrastructure or writing technical code. With AI-assisted development tools, teams can move much faster from idea → prototype → demo, allowing participants to focus more on product design, creativity, and user experience.
For example, during the Manus AI x NUS Product Club: Vibe-Building Hackathon, teams were able to rapidly prototype creative AI-powered products within a short timeframe. Instead of spending most of their time coding, participants focused on identifying interesting problems and building functional demos.
Some of the winning ideas:
Any Name
A facial-recognition alarm clock with jumpscares, peer pressure, and playful accountability.
Canal
An AI legal assistant that simplifies complex contracts into clear, actionable terms.
SPEC
An AI organizer that turns scattered emails and messages into deadlines, calendars, and task lists.
Final Thoughts
As AI tools continue to evolve, the ability to quickly translate ideas into prototypes will become an increasingly valuable skill. Vibe coding does not replace engineering expertise, but it empowers builders to move faster and experiment more freely.
For students exploring product management, vibe coding opens up a new way to learn — not just by studying frameworks, but by building real products.
If you’re serious about becoming a PM, the best thing you can do is simple: Start Building.
It doesn’t have to be perfect. It doesn’t have to be complex.
Build something small. Ship something messy. Test it with real users.
Because in the end, product management isn’t learned in theory — it’s learned through iteration.
Despite her background in Economics and Management, Yi Ting has a keen interest in creative fields such as social media, blogging, and digital content creation. She is passionate about blending her analytical skills with creativity to develop engaging and impactful marketing strategies. Prior to joining Product Club, she gained hands-on experience in marketing and business development through both CCA activities and internships.