Getting paid to vibe code: Inside the new AI-era job | Lazar Jovanovic (Professional Vibe Coder)

Getting paid to vibe code: Inside the new AI-era job | Lazar Jovanovic (Professional Vibe Coder)

February 08, 2026 1 hr 42 min
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🤖 AI Summary

Overview

This episode dives into the emerging role of vibe coding, where Lazar Jovanovic, a professional vibe coder at Lovable, shares his journey of building production-quality tools and products using AI without a traditional coding background. He discusses his frameworks, workflows, and insights on leveraging AI effectively, the convergence of tech roles, and the future of design and product development.

Notable Quotes

- Coding is going to be like calligraphy. People will say, 'Oh my God, you wrote that code?' It’s going to be so rare that it’s going to become an art.Lazar Jovanovic, on the future of coding.

- If you don’t know what you’re doing, you’re just going to produce garbage faster.Lazar Jovanovic, on the importance of clarity when using AI.

- We live in a world where anybody can produce good enough with AI. The real challenge now is learning how to produce magic.Lazar Jovanovic, on the evolving standards of quality in the AI era.

🧠 The Role of Clarity and Planning in AI Development

- Lazar emphasizes that success with AI tools depends on clarity and judgment, not technical coding skills.

- He spends 80% of his time planning and chatting with AI agents, and only 20% executing.

- His genie and three wishes analogy highlights the importance of being specific with AI prompts to avoid misinterpretation.

- Lazar uses a structured system of Markdown files (e.g., master plan, design guidelines, tasks) to align AI agents and ensure consistent outputs.

🛠️ Prototyping and Iteration with AI

- Lazar advocates for starting projects by running four or five parallel prototypes to clarify ideas and explore different directions.

- He uses tools like Lovable to quickly iterate and refine concepts, saving time and resources in the long run.

- Prototyping is not just for production but also for communicating ideas effectively within teams.

🎨 The Rising Importance of Design and Taste

- As AI democratizes coding, design and emotional intelligence are becoming the most valuable skills.

- Lazar stresses the need to develop a strong sense of taste by exposing oneself to world-class designs and learning design styles (e.g., Bauhaus, glassmorphism).

- He believes designers will be the next winners in the AI era, as their ability to create emotionally resonant and visually appealing products will be irreplaceable.

🔧 Debugging and Learning from AI

- Lazar’s 4x4 debugging workflow includes:

1. Asking the AI tool to fix the issue.

2. Adding debugging messages to the console log for better visibility.

3. Using external tools like Codex for deeper diagnostics.

4. Reverting to earlier versions and rethinking prompts.

- He uses every debugging experience as a learning opportunity, asking the AI how he could have prompted better and updating the agent’s rules for future tasks.

🌐 Convergence of Tech Roles and the Future of Work

- Lazar observes that traditional roles like product manager, designer, and engineer are converging, with AI enabling individuals to perform across these domains.

- He predicts that coding will become a commoditized skill, with elite engineering focusing on infrastructure, scalability, and maintenance.

- Emotional intelligence, creativity, and human-centric skills will be critical as AI takes over deterministic tasks.

- Lazar encourages aspiring vibe coders to build in public, share their work, and focus on developing judgment, clarity, and design skills to thrive in the AI-driven future.

AI-generated content may not be accurate or complete and should not be relied upon as a sole source of truth.

📋 Episode Description

Lazar Jovanovic is a full-time professional vibe coder at Lovable. His job is to build both internal tools and customer-facing products purely using AI, while not having a coding background. In this conversation, he breaks down the tactics, workflows, and framework that let him ship production-quality products using only AI.

We discuss:

1. Why having no coding background can be an advantage when building with AI

2. Why most of your time should go to planning and chat mode, not prompting

3. What to do when you get stuck: his 4x4 debugging workflow

4. The PRD and Markdown file system that keeps AI agents aligned across complex builds

5. Why kicking off four or five parallel prototypes is the best way to clarify your thinking

6. Why design skills and taste are going to be the most important skills in the future

7. His “genie and three wishes” mental model for making the most of AI’s limitations

8. How product, engineering, and design roles are converging—and what that means for your career

Brought to you by:

Strella—The AI-powered customer research platform: https://strella.io/lenny

Samsara—Saving lives with AI built for physical operations: https://samsara.com/lenny

WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny

Episode transcript: https://www.lennysnewsletter.com/p/getting-paid-to-vibe-code

Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0

Where to find Lazar Jovanovic:

• X: https://x.com/lakikentaki

• LinkedIn: https://www.linkedin.com/in/lazar-jovanovic

• YouTube: https://www.youtube.com/@50in50challenge

• Starter Story course: https://build.starterstory.com/build/ai-build-accelerator?via=lazar (code LAZAR15