Vibe Coding is a podcast about building software and reality with AI. We dive into what actually works, share practical techniques, and talk to the people building these tools.
Discover the latest vibe coding news and resources: https://www.vibe-coding.fm
Subscribe to our newsletter: https://www.magicbeansnewsletter.com
Vibe Coding is a podcast about building software and reality with AI. We dive into what actually works, share practical techniques, and talk to the people building these tools.
Discover the latest vibe coding news and resources: https://www.vibe-coding.fm
Subscribe to our newsletter: https://www.magicbeansnewsletter.com
Alessia Paccagnella quit a "perfect" job, walked away from a stalled biotech pivot, and rebuilt her future inside Y Combinator with Vibeflow.
After two failed ideas, three YC applications, and zero safety net, Alessia and her co-founder realized the current wave of AI builders was hitting a wall: frontend magic, backend chaos.
Vibeflow emerged from that frustration. It’s a visual backend editor that offers deterministic code generation, giving non-technical founders a way to finally understand and control the logic of their apps without relying solely on black-box prompting.
We dig into why vibe coding breaks at scale, how visual backends solve reprompt hell, and what the Y Combinator pressure cooker was really like from the inside.
Will Simon lost a fortune in the FTX collapse, walked away from crypto, and rebuilt using vibe coding.
CFO by day, vibe coder by necessity. Will built a full internal CRM for his payroll company using Lovable—no coding background, just frustration with manual processes and limited dev resources. We dig into his chat mode strategy, why he sees AI having bigger impact than crypto, and his plan to automate every manual payment by next year.
Adrian Humphrey beat thousands of developers to win $100K at the Bolt Hackathon—here's how he did it.
His approach to vibe coding: strategic debugging, knowing when AI isn't ready, and building for real pain points. We dive into how he built Tailored Labs (an AI video editor) using Bolt and Google's Gemini 2.5 Pro, why his 2018 startup was "too forward thinking," and his framework for turning hackathon wins into fundable companies.
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Tommy Thomas beat 130,000 developers to win $50K—here's his exact playbook.
His approach to vibe coding: product strategy, systematic iteration, and knowing when to pivot. We dive into how he built Keyhaven (an API key manager with analytics) after scrapping two other apps, why he starts every project with a PRD, and his framework for picking ideas that actually make money.
Plus: running a tech incubator in Kuala Lumpur, the marathon that traumatized him, and why UBI might be inevitable when everyone becomes a builder.
Are AI tools making engineers worse—or just exposing who’s coasting?
Robert Welch (Chief Innovation Officer at APM Help) shares how his team ships zero-to-one products fast without letting AI erode core skills. We get into the guardrails that keep quality high (tests, CI/CD, enterprise privacy/no data retention), the difference between designing systems vs pasting code, and why AI should augment—not replace—judgment.
Plus: protecting yourself from scams, humanoid robots in property ops, and whether AI music can ever rival human craft.
AI’s trade-off: speed vs. skill erosion
Guardrails that keep quality: tests, CI/CD, code review, metrics
Security & compliance in AI dev
Augment, don’t abdicate: think first, code second
Preserve craft: write tests, run reviews
Measure quality, not just speed: defects, rollbacks, coverage
Protect data and yourself: approved tooling, least-privilege, verify suspicious requests
I talk with Alessio Carrà about the rapidly closing window for entrepreneurs in the AI coding space. He shares how someone turned a simple domain idea into $2K monthly revenue in just days, and explains why the "easy wins" won't last.
Alessio walks me through Context Engineering—his solution to the chaos that happens when vibe coding projects get bigger and AI agents start breaking things. We discuss the weird emotional shift of watching AI write your code, Amazon's new Kiro IDE, and whether we're heading toward a future of local AI models running on laptops.
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Chapters
00:00 The Urgency of Action in Business
02:58 Navigating the Challenges of Vibe Coding
06:04 Introducing Context Engineering
08:54 The Process of Context Engineering
11:58 The Impact of Structure on Vibe Coding
14:45 Comparing Context Engineering with Other Tools
18:00 The Emotional Experience of Building with AI
28:08 Navigating the Workflow of Coding with AI
31:31 The Shift in Coding Satisfaction
34:16 Focusing on Outcomes Over Outputs
37:04 The Impact of AI on Cognitive Skills
40:16 The Future of Coding Tools
46:10 Local vs. Cloud-Based AI Models
In this inaugural episode of Vibe Coding, host Cosmo Scharf speaks with Ash Gobindram, CEO of Kinemeric, about using AI to create "believable humans" in XR training simulations and how vibe coding is transforming his client workflow.
Ash reveals how he uses Lovable to prototype interactive experiences for clients in under an hour—from a lending platform interface for a private equity firm to step-by-step watch repair instructions for luxury brand Richemont. He shares the practical reality of vibe coding: when to start fresh versus iterating, why some projects work better than others, and how he built a full travel agency website in just two hours.
The conversation explores the striking parallels between today's vibe coding revolution and the early mobile app era that Ash lived through starting in 2009. From Palm Pilots to iPhones to AI-generated code, we discuss how computing is becoming more democratized and personalized—and what that means for the future of software creation.
Plus: Why "believable" matters more than being photorealistic in XR, the philosophical concerns about AI replacing human relationships, and Ash's vision for a decentralized computing future where we interact with technology across multiple form factors.
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Chapters
00:00 Introduction to Vibe Coding and Kinemeric
03:10 Believability in Spatial Technology
05:46 Practical Applications of XR and AI in Training
08:58 Vibe Coding in Early Development Stages
11:44 Prototyping with Lovable
14:45 Iterating on Prototypes and Lessons Learned
17:27 The Future of Software Creation
20:38 Reflections on the Evolution of Software Development
26:43 The Impact of App Design on Culture
29:09 The Evolution of Computing and AI
34:18 Exploring XR and AI Integration
40:23 Human Interaction with AI
44:33 Philosophical Concerns of AI Relationships
51:18 The Future of Decoupled Computing