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Vibe Coding Podcast

Join us weekly as we explore the intersection of AI and development. Discover new tools, techniques, and insights from the vibe coding community.

#3 - Robert Welch - Is AI Making Engineers Worse? | Vibe Coding Podcast | Vibe Coding

Home Podcast#3 - Robert Welch - Is AI Making Engineers Worse?

#3 - Robert Welch - Is AI Making Engineers Worse?

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Show Notes

Are AI tools making engineers worse—or just exposing who’s coasting?

Robert Welch (Chief Innovation Officer at APM Help) joins the Vibe Coding podcast to share 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.

Chapters

00:00Introduction to Robert Welch

00:41Innovation at APM Help

02:40The Role of AI in Property Management

04:45The Great Erosion: AI's Impact on Engineering Skills

10:41Balancing AI Use and Engineering Discipline

16:49Security and Compliance in AI Development

22:45Over-Reliance on AI Beyond Coding

24:37The Satisfaction of Problem Solving

26:25AI as an Augmentation Tool

28:10Creating Tools to Combat Scams

32:25The Evolving Nature of Scams with AI

34:12Practical Advice for Avoiding Scams

36:29The Intersection of Music and AI

44:48Retaining Humanity in an AI-Driven World

50:27Embracing AI with Discipline

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#7 - Alessia - Why 2025 Is the Year of Vibe Coding & Inside the YC Pressure Cooker

#7 - Alessia - Why 2025 Is the Year of Vibe Coding & Inside the YC Pressure Cooker

Alessia 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. Key Topics The Backend Gap: Why AI builders fail on integration layers and get stuck in reprompting loops. Visual Control: Moving from LLM hallucinations to deterministic node graphs. The Pivot: Shifting from microbiome deep tech to developer tools in just weeks. The YC Journey: Three attempts to get in, the reality of the program, and building under extreme constraint. Viral Launch: How honesty and "building in public" drove a #1 Product Hunt launch.

#6 - Will Simon - From Losing Everything in FTX to Building Production Software Without Code

#6 - Will Simon - From Losing Everything in FTX to Building Production Software Without Code

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. **Key topics** - Building production tools without developers: from margin calculators to DocuSign clones - Strategic prompting: using chat mode to optimize before implementing - Crypto's decade vs. AI's revolution The FTX collapse and walking away from trading **Takeaways** - Chat mode is your friend: spend 30-40% of prompts reviewing plans before implementation to prevent the AI from chasing the wrong problem - Security matters from day one: even Lovable's built-in review got a B+ from Will's database engineer with minimal tweaks - AI creates jobs, not just kills them: new skills for everyone from founders to entry-level, not replacement - Information access is the real shift: from encyclopedias to Wikipedia to ChatGPT—each step didn't kill jobs, it changed what skills matter - Know when you need real developers: vibe coding gets you 80% there, but production needs cleanup and optimization

#5 - Adrian Humphrey - Winning $100k at the World's Largest Hackathon

#5 - Adrian Humphrey - Winning $100k at the World's Largest Hackathon

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. **Key topics** - Debugging strategies for vibe coding tools that save time and money - Building production-ready apps vs. hackathon prototypes - Competing with established players like CapCut and Adobe **Takeaways** - Start with a PRD and user stories: map out use cases before building, then write tests - Debug strategically: don't let AI iterate blindly—investigate first, then fix - Timing matters more than tech: great ideas can fail if the market isn't ready - Production is the real bottleneck: vibe coding makes building easy, but deployment and scaling are still hard - Solve time, not features: focus on the biggest pain point (time) rather than flashy AI capabilities

#4 - Tommy Thomas - The $50K Vibe Coding Playbook

#4 - Tommy Thomas - The $50K Vibe Coding Playbook

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. Key topics Why vibe coding is easier but not easy The PRD-first approach to building apps Monetization strategy from day one Choosing the right platform (Bolt vs. Lovable vs. others) Takeaways Start with a PRD: let AI help you think through requirements before you build MVP or bust: focus on one feature, add incrementally Would you pay for it? brutal honesty about your own willingness to subscribe Build for distribution: plan your marketing strategy before you write code Prioritize monetization: cost-benefit analysis beats cool features