vibe-coding
An AI-native development approach where builders use AI tools to rapidly create software. The newsletter treats it as a growth and product-building methodology.
Key Highlights
- Vibe-coding is an AI-native software creation approach that compresses the path from idea to working product.
- The concept matters to AI PMs because it enables faster prototyping, broader team participation, and shorter validation loops.
- Newsletter examples connect vibe-coding to tools like Google AI Studio, Claude Code, Cloud Code, and CodeEx.
- The strongest use of vibe-coding combines rapid iteration with clear planning, debugging discipline, and product judgment.
- Real-world cases such as WrestleAI show that vibe-coding can support not just prototyping, but launch, growth, and revenue.
vibe-coding
Overview
Vibe-coding is an AI-native approach to building software in which a person uses generative AI tools, coding agents, prompt-driven builders, and lightweight deployment workflows to rapidly create products, prototypes, and features. In the newsletter, it appears not just as a way to write code faster, but as a broader growth and product-building methodology: start with a sharp idea, use AI to compress build time, iterate directly in code or UI, and get something testable into users’ hands quickly.For AI Product Managers, vibe-coding matters because it changes who can build, how quickly teams can validate ideas, and what the product development loop looks like. Designers, PMs, and solo founders can move from spec to working prototype with less dependency on traditional engineering workflows. At the same time, the mentions also show an important caveat: without a clear plan, AI-assisted building can become undirected experimentation. The real leverage comes from combining speed with product judgment, structured iteration, and disciplined evaluation.
Key Developments
- 2026-02-09: Lazar Jovanovic was highlighted as the first full-time “vibe coder,” using an AI-aligned markdown file system, a 4×4 debugging workflow, and 4–5 parallel prototypes to build products without writing code directly.
- 2026-03-08: Tal Raviv shared a detailed account of spending significant time vibe-coding a landing page for Familiar, pushing back on the idea that AI-native building is always instantly easy.
- 2026-03-10: Simon Willison reflected on how LLMs can bias technology choices toward tools that are better represented in training data, a useful caution for teams adopting vibe-coding stacks.
- 2026-03-20: Google AI launched a full-stack vibe-coding environment in Google AI Studio, enabling end-to-end app development across UI, backend logic, and data pipelines through AI-powered generation.
- 2026-03-21: Google AI expanded the concept with a fuller AI Studio experience featuring smarter agents, multiplayer collaboration, secure login and storage, real-world integrations, and Stitch, an AI-native design canvas for prompt-based product creation.
- 2026-03-23: Santiago argued that agentic coding workflows need a clear plan, or they degrade into vibe-coding with unnecessary extra steps.
- 2026-03-24: Philipp Schmid published a beginner-friendly guide to vibe-coding in Google AI Studio, covering prompting through deployment, including private-by-default apps, Firebase setup with auth, in-UI drawing feedback, and Cloud Run publishing.
- 2026-05-04: At Notion, designers and PMs used vibe-coding tools such as Cloud Code and CodeEx to prototype AI features in code, lowering terminal intimidation and accelerating iteration.
- 2026-05-06: Logan Kilpatrick introduced edit mode in AI Studio Vibe Coding, enabling direct component edits, pen-based UI annotation, image swaps via Nano Banana, and asset uploads.
- 2026-06-16: George Lampropoulos used AI-first development with Vibe Coding’s Oracles and RevenueCat to build and scale WrestleAI, focusing on one “gotcha feature” and an Instagram influencer funnel to surpass 100K downloads and nearly $200K in revenue.
Relevance to AI PMs
1. Prototype faster without waiting for full engineering cycles. AI PMs can use vibe-coding tools to turn PRDs, workflows, or UI ideas into working prototypes for usability testing, stakeholder alignment, or early market validation. 2. Expand the builder surface area across the team. The concept shows that PMs and designers can work directly in code-like environments using tools such as AI Studio, Cloud Code, CodeEx, and Claude Code, which reduces handoff friction and speeds up iteration on AI features. 3. Pair speed with structure. The Santiago and Tal Raviv mentions are useful reminders that fast AI-assisted building still needs planning, debugging discipline, and clear success criteria. PMs should treat vibe-coding as a rapid experimentation system, not a substitute for product strategy.Related
- Google AI Studio / AI Studio / google-ai-studio: One of the clearest platform examples of full-stack vibe-coding, covering generation, editing, deployment, and integrated services.
- Claude Code, Cloud Code, CodeEx, CLI: Tooling that lowers the barrier for PMs and designers to prototype in code or terminal-driven workflows.
- Lovable, ChatPRD: Examples of adjacent AI-native tools that help compress product design, prototyping, and specification work.
- Stitch: Google’s AI-native design canvas, closely connected to the design-to-product side of vibe-coding.
- Nano Banana: Used in AI Studio editing workflows for swapping image assets during rapid iteration.
- Notion: A practical example of non-engineering roles using vibe-coding tools to prototype AI experiences.
- Lazar Jovanovic, Tal Raviv, Simon Willison, Santiago, George Lampropoulos, Peter Yang: People associated with operating models, critiques, or examples that shape how the concept is understood.
- Familiar, WrestleAI, Oracles, RevenueCat: Product and tooling examples showing how vibe-coding can connect directly to launch, monetization, and growth outcomes.
Newsletter Mentions (11)
“George Lampropoulos built and scaled WrestleAI using AI-first development with Vibe Coding’s Oracles and RevenueCat, focusing on a single "gotcha feature" and an Instagram influencer funnel to reach 100K+ downloads and nearly $200K in revenue.”
#13 ▶️ How a TJ Maxx Cashier Built a $200K App With AI Greg Isenberg George Lampropoulos built and scaled WrestleAI using AI-first development with Vibe Coding’s Oracles and RevenueCat, focusing on a single "gotcha feature" and an Instagram influencer funnel to reach 100K+ downloads and nearly $200K in revenue.
“Logan Kilpatrick rolled out edit mode in AI Studio Vibe Coding, letting you select components for quick edits, draw annotations directly on the UI with a pen, swap image assets via Nano Banana, or upload your own content.”
#5 𝕏 Logan Kilpatrick rolled out edit mode in AI Studio Vibe Coding, letting you select components for quick edits, draw annotations directly on the UI with a pen, swap image assets via Nano Banana, or upload your own content.
“Using vibe coding tools such as Cloud Code and CodeEx, designers and PMs at Notion prototype AI features in code, reducing terminal intimidation and accelerating iteration.”
#8 ▶️ Why cultivating agency matters more than cultivating skills in the AI era | Max Schoening (Notion) Lennys Podcast Notion’s design team built a minimal LLM-friendly terminal playground to prototype AI chat interfaces, moving initial design work from Figma into code. The playground consists of a small codebase created by two designers and Max Schoening, optimized for one-shot interactions with LLMs and operated entirely via the terminal. Using vibe coding tools such as Cloud Code and CodeEx, designers and PMs at Notion prototype AI features in code, reducing terminal intimidation and accelerating iteration.
“Philipp Schmid shares a beginner-friendly guide to vibe-coding in Google AI Studio, walking through prompts to deployment.”
#10 𝕏 Philipp Schmid shares a beginner-friendly guide to vibe-coding in Google AI Studio, walking through prompts to deployment. He highlights private-by-default apps, one-click Firebase databases with auth, in-UI drawing for feedback, and instant Cloud Run publishing. #18 in Claire Vo argues leaders must ditch “I’m blocked” and instead use AI tools like Claude Code, Devin, Lovable, and ChatPRD to prototype, design, and spec in minutes.
“Santiago argues that AI agentic coding workflows require a clear plan—or they just become “vibe-coding” with needless extra steps.”
#10 𝕏 Santiago argues that AI agentic coding workflows require a clear plan—or they just become “vibe-coding” with needless extra steps.
“Google AI rolled out a full-stack “vibe coding” experience in AI Studio—complete with smarter agents, multiplayer collaboration, secure login/storage and real-world service integrations—and unveiled Stitch, an AI-native design canvas that turns natural-language prompts into p...”
#1 𝕏 Google AI rolled out a full-stack “vibe coding” experience in AI Studio—complete with smarter agents, multiplayer collaboration, secure login/storage and real-world service integrations—and unveiled Stitch, an AI-native design canvas that turns natural-language prompts into p...
“Google AI launched a full-stack Vibe coding environment in Google AI Studio. It enables end-to-end app development—UI, back-end logic, and data pipelines—through AI-powered code generation.”
#3 𝕏 Google AI launched a full-stack Vibe coding environment in Google AI Studio. It enables end-to-end app development—UI, back-end logic, and data pipelines—through AI-powered code generation. #4 𝕏 LlamaIndex 🦙 just open-sourced LiteParse, a zero-Python CLI & TypeScript-native library for layout-aware parsing of PDFs, Office docs, and images—preserving columns, tables, and alignment with built-in OCR, built for agent and LLM pipelines.
“#15 📝 Simon Willison Perhaps not Boring Technology after all - Reflection on the concern that LLMs might bias technology choices toward well-represented tools in their training data, making it harder for new tools to gain traction.”
This item is not explicitly about vibe coding, but it is about how LLMs shape technology selection and adoption. It is relevant to PMs thinking about AI-driven tooling choices and ecosystem effects.
“in Tal Raviv Tal Raviv spent significant time “vibe coding” a landing page for Familiar and shares a theater-free, detailed account to challenge the industry’s obsession with framing “quick and easy” as the hallmark of AI-forward work.”
in Tal Raviv Tal Raviv spent significant time “vibe coding” a landing page for Familiar and shares a theater-free, detailed account to challenge the industry’s obsession with framing “quick and easy” as the hallmark of AI-forward work.
“𝕏 Lenny Rachitsky spotlights Lazar Jovanovic’s role as the first full-time “vibe coder,” using an AI-aligned markdown file system, a 4×4 debugging workflow and 4-5 parallel prototypes to rapidly build products without writing code.”
#16 𝕏 Lenny Rachitsky spotlights Lazar Jovanovic’s role as the first full-time “vibe coder,” using an AI-aligned markdown file system, a 4×4 debugging workflow and 4-5 parallel prototypes to rapidly build products without writing code.
Related
An AI coding assistant environment used for running evaluation skills and agentic workflows. In this issue it is mentioned as a runtime for ai-evals-course material and as an agent in an OpenRouter-like system.
A creator/curator in the AI PM space who shared the ai-evals-course repository. He is mentioned as a source for practical AI eval resources.
A prominent AI blogger and commentator referenced in connection with an article on token reselling and fraud. He is cited as the source of the newsletter item discussing the marketplace and API-key abuse.
A newsletter contributor or source mentioned multiple times for sharing AI product commentary. He is cited on WAN 3.0 and an OpenRouter-like agents system.
Google’s AI application builder and workflow environment. Here it is noted for GitHub repository import and bidirectional sync, which matters for AI product workflows and developer experience.
An AI commentator or builder referenced here for comparing OpenAI’s Computer History with Familiar. He highlights Familiar’s offline, local, and model-agnostic qualities.
Cloud Code appears to be a coding agent or coding workflow used to generate launch videos from websites. The newsletter describes it as working with Fable 5 and HyperFrames.
A workspace and note-taking tool used here to store research outputs as cards. In this workflow it supports agent-generated content operations.
An AI-first product management tool or startup referenced by Claire Vo. The newsletter uses it in a discussion of shipping an AI-first version of an app without traditional PM tooling.
An opinionated build environment for coding with AI that uses a coding agent. The newsletter notes that projects can be exported from it directly to Antigravity.
A no-code AI app builder referenced here as the platform used to build a production-grade SaaS product. For PMs, it illustrates how agentic coding is changing build-vs-buy and software creation economics.
A coding and research tool used here for optimizing order execution latency. Relevant to PMs as part of an AI-assisted quantitative workflow.
A Google DeepMind skill or interface for AI-assisted history analysis. It integrates Gemini with expert models to help translate and study ancient texts using plain English.
An image asset swapping tool or capability referenced in AI Studio editing workflows. Useful for PMs building multimodal UI-editing experiences.
An offline, local, open-source, free, model-agnostic screen-history tool. In this newsletter it is presented as the comparison point for OpenAI’s Computer History.
A Google Labs AI product for design. It is positioned as a creative product-making tool in Google’s experimental portfolio.
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