#productcohort-diana

Have you heard of Vibe Coding? Here is an intro and what It means for Product

• What is it?
◦ Vibe coding is a new way of building software using AI, where people give simple instructions (like "make the button bigger" or "add a login page"), and the AI generates the code automatically. This means that building software is becoming faster, easier, and more accessible—even for people who don’t know how to code.
• Why It Matters?
1. More People Can Build Software
◦ AI will handle most of the coding, meaning more non-technical people will be able to create software.
◦ Just as social media made everyone a content creator, AI-powered coding will allow more people to build apps and tools.
2. From Coding to Visual Building
◦ Today, vibe coding mostly happens with text-based commands, like chatting with ChatGPT.
◦ In the future, it will shift to visual tools, where PMs and designers can simply describe the experience they want, and AI will build it with no engineering required.
3. Software Becomes Disposable & Customizable
◦ Instead of relying on standard tools and libraries, AI will generate custom code for every project, making software more adaptable.
◦ Imagine tweaking an app like you edit a Google Doc, making changes in real-time without needing an engineer.
4. The Role of PMs Will Evolve
◦ Less focus on “how” things are built (since AI handles the code).
◦ More focus on defining the right problem and desired outcomes (e.g., “make signup easier” instead of “add a progress bar”).
◦ Software will adapt itself based on user behavior rather than following fixed rules set by engineers.
5. Changes in Team Structures
◦ If AI makes coding cheaper and faster, engineering-heavy teams may shrink, while roles like PMs and designers could become even more critical.
◦ However, demand for software could explode, leading to even more engineers building at a much faster pace.
6. AI in Marketing & Sales
◦ Just as AI can generate code, it can also automate marketing and sales.
◦ Imagine giving AI a simple goal like “market our app to Gen Z,” and it automatically creates social content, buys ads, and runs influencer campaigns.
7. Challenges & Risks
◦ AI-generated software is still messy—handling complex business rules, security, and edge cases is difficult.
◦ Many early AI-built products feel low quality, but just like AI images/videos improved quickly, software will get better fast.
• What This Means for the Future
◦ Less time managing engineers, more time guiding AI tools to build products.
◦ Faster prototyping and iteration, making user feedback even more important.
◦ A shift from shipping features to defining goals and letting AI optimize them.
AI-driven development won’t replace PMs, but it will change how we work. Instead of asking engineers to build things, we may soon describe what we want, let AI create it, and refine it based on user feedback. 🚀