Pencils down: We share our vibe-coded websites
Episode
46 min
Read time
2 min
Topics
Investing, Fundraising & VC, Artificial Intelligence
AI-Generated Summary
Key Takeaways
- ✓Tool selection matters significantly: Codex proved unreliable for sustained projects, requiring a new chat thread every session due to permission and access failures. Claude Code handled complex, multi-feature builds more consistently. Gemini completed a full portfolio site in a single extended session. Matching the tool to project scope reduces wasted iteration cycles considerably.
- ✓Front-load prompts with constraints, not just goals: David Pierce's most successful builds began with 1,500-word prompts that explicitly listed what the AI should NOT do, preventing it from going down costly wrong paths autonomously. Spending significant time on upfront documentation and clarifying questions before any code generation reduces major structural rework later.
- ✓Separate chat sessions per feature, not one long conversation: Sophisticated users recommend maintaining a folder of instructions and opening distinct chat sessions for each individual feature rather than one continuous conversation. This approach mirrors proper agent orchestration and prevents context drift, permission failures, and compounding errors that derail entire projects mid-build.
- ✓Security decisions get made silently without user input: Claude Code automatically stripped all EXIF metadata from uploaded photos as a privacy measure — without being asked — which then broke chronological photo sorting. AI tools make consequential architectural decisions autonomously. Builders should explicitly audit what the system decided independently, especially around data handling and access controls.
- ✓Personal-use tools versus publishable products represent a vast skill gap: All three builders found their finished tools functional for personal use but recognized that transforming them into products for other users requires clean code, security hardening, and scalability — skills entirely separate from prompt engineering. Vibe coding reliably produces useful personal utilities, not market-ready software.
What It Covers
Three Verge staffers — David Pierce, Jake Kastronakis, and Hayden Field — present the results of a month-long vibe coding challenge, each building a personal-use website using different AI tools: Claude Code, Codex, and Gemini, revealing practical limitations and unexpected capabilities of each platform.
Key Questions Answered
- •Tool selection matters significantly: Codex proved unreliable for sustained projects, requiring a new chat thread every session due to permission and access failures. Claude Code handled complex, multi-feature builds more consistently. Gemini completed a full portfolio site in a single extended session. Matching the tool to project scope reduces wasted iteration cycles considerably.
- •Front-load prompts with constraints, not just goals: David Pierce's most successful builds began with 1,500-word prompts that explicitly listed what the AI should NOT do, preventing it from going down costly wrong paths autonomously. Spending significant time on upfront documentation and clarifying questions before any code generation reduces major structural rework later.
- •Separate chat sessions per feature, not one long conversation: Sophisticated users recommend maintaining a folder of instructions and opening distinct chat sessions for each individual feature rather than one continuous conversation. This approach mirrors proper agent orchestration and prevents context drift, permission failures, and compounding errors that derail entire projects mid-build.
- •Security decisions get made silently without user input: Claude Code automatically stripped all EXIF metadata from uploaded photos as a privacy measure — without being asked — which then broke chronological photo sorting. AI tools make consequential architectural decisions autonomously. Builders should explicitly audit what the system decided independently, especially around data handling and access controls.
- •Personal-use tools versus publishable products represent a vast skill gap: All three builders found their finished tools functional for personal use but recognized that transforming them into products for other users requires clean code, security hardening, and scalability — skills entirely separate from prompt engineering. Vibe coding reliably produces useful personal utilities, not market-ready software.
Notable Moment
David Pierce built an Apple Shortcuts integration for his family photo site that automatically uploads images directly from the iOS share sheet to his self-hosted grid — a feature that required rebuilding the entire EXIF data pipeline after Claude Code had silently stripped all photo metadata as an unsolicited privacy measure.
Episode Transcript
Hello and welcome to The Vergecast, the flagship podcast of codex. I'm your friend David Pierce. And today on the show, we are revisiting our vibe coding challenge. About a month ago, I gave two of my colleagues a challenge to go off and develop a website to solve a problem that they had in their real life. This is just a way for us to experiment with some of the vibe coding tools, push things along, try new things, and see what we, admittedly regular people when it comes to this stuff, might be able to make in a vibe coding world. It's been a month. I'm very excited to check-in. I also, if I'm being completely honest, am unreasonably proud of the things that I've made, and I'm very excited to show them off and brag about them. It's gonna be very fun. We're gonna get to that in just a second. But first, here's everything else happening on The Verge today. This is ninety seconds on The Verge for Monday, 08/10/2026. Mark Zuckerberg just published a huge 6,500 word manifesto on how he sees the future of AI. Most of what's in there is not surprising. He loves America. He thinks agents will make everything amazing for everyone. You You know the drill. He said he's in favor of more government oversight of AI models, but doesn't think it's worth trying to keep foreign models out of The US altogether. Thought that was interesting. Every AI CEO seems to love a manifesto right now. And I only bring this one up because it's from a CEO whose products are part of so many people's lives every day. And actually because there's one line in here I quite like. He says that invention, not automation, will be the greatest contribution of superintelligence. Come into that. Meanwhile, big news in App Store world. The first non Google Android App Store is now available in the Play Store. It's called Aptoid, and it's a game store. Android has always supported these third party app stores, but they came either preloaded like the Amazon App Store on Fire tablets, or you had to side load them. But after years of legal fighting with Epic, which is the company that makes Fortnite, Google is now required to let those app stores into the Play Store itself. This is a big change to the whole app economy. And by the way, there's a very similar fight playing out as we speak with Apple and iOS. Finally, Verge contributor Georgina Torbit has a story about a company called Reflect Orbital, which recently won FCC approval to launch a mirror satellite, which is what you think it is, designed to reflect sunlight onto Earth twenty four hours a day, either for actual light or to generate solar power. Right now, it's one satellite, but reflect wants it to be 50,000. Meanwhile, astronomers are worried about light pollution. They're worried about scientific observation, even about what …
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Books, tools, and gear mentioned in this episode
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Tools
“Codex proved unreliable for sustained projects, requiring a new chat thread every session due to permission and access failures.”
- Claude CodeRecommended
by Anthropic
“Claude Code handled complex, multi-feature builds more consistently.”
Products
by Apple
“David Pierce built an Apple Shortcuts integration for his family photo site that automatically uploads images directly from the iOS share sheet.”
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