GenAI PMCloud Code
A vibe-coding tool mentioned as part of Notion’s terminal-based prototyping workflow. It is used by designers and PMs to prototype AI features directly in code.
Key Highlights
- Cloud Code is positioned as a terminal-first AI prototyping and agent workflow tool used for coding, automation, and rapid iteration.
- Notion’s designers and PMs used Cloud Code to prototype AI features directly in code, reducing friction between concept and implementation.
- The tool appears in multiple practical modes, including mobile app development, browser automation, research pipelines, and memory-enabled agents.
- Its memory, skills, and automation patterns make it especially relevant for AI PMs building repeatable product and research workflows.
- Cloud Code is closely tied to the broader Claude Code, Cursor, and AI agent tooling ecosystem.
Cloud Code
Overview
Cloud Code is a terminal-first AI coding and prototyping tool used for vibe coding, agent workflows, and rapid product development. Across the mentions collected here, it appears in several modes: as a hands-on implementation environment for building apps, as an AI browser agent for automating web tasks, and as a skill-based agent platform with memory and self-improvement workflows. It is also referred to in some sources as Claude Code or a Cloud Code AI browser agent, suggesting it sits in the broader ecosystem of AI-assisted coding and agent tooling.For AI Product Managers, Cloud Code matters because it lowers the barrier between idea and working prototype. Rather than waiting for full engineering cycles or staying limited to mockups in design tools, PMs and designers are shown using Cloud Code to build functional AI experiences directly in code, test workflows in the terminal, automate research pipelines, and iterate on product concepts quickly. The recurring theme is increased agency: teams can move from insight to prototype faster, validate AI features earlier, and operationalize repeatable agent workflows.
Key Developments
- 2026-01-10: Chris uses Cloud Code to build a YouTube shorts tracking tool, a web template with OAuth login and Stripe payments, and an AI agent dashboard while launching an AI-native business.
- 2026-02-10: Greg Isenberg features James Dickerson using Claude Code in Visual Studio Code via Cursor to build an AI-driven marketing funnel, combining custom skills, Perplexity MCP research, Playwright MCP screenshots, and a reported $200/month Cloud Code subscription.
- 2026-03-09: All About AI uses a Cloud Code AI browser agent with the Chrome automation CLI and Chrome DevTools Protocol to operate inside the AWS console, completing infrastructure and deployment tasks including S3 hosting and VM setup.
- 2026-03-30: Jenny Wen’s Claude Co-work workflow generates weekly product ideas that are ready for downstream prototyping in Figma or Cloud Code, positioning Cloud Code as an execution environment after research synthesis.
- 2026-04-02: Peter Yang uses Cloud Code with Expo Go to implement a React Native fitness app over three milestones, shipping thousands of lines of code and multiple screens after generating requirements and designs with other AI tools.
- 2026-04-22: Cloud Code’s memory architecture is described as a three-layer system with local project memory files, indexed recall, and an asynchronous autodream process that consolidates and updates memories over time.
- 2026-04-28: A daily recon pipeline is automated by triggering a Cloud Code skill in a cron job, combining SER API search, a headless Chrome Surf Agent, and form-filling automation to gather and verify market intelligence.
- 2026-05-04: Notion’s designers and PMs are described using Cloud Code and CodeEx in a terminal-based playground to prototype AI features directly in code, reducing terminal intimidation and accelerating iteration.
Relevance to AI PMs
1. Prototype AI features without waiting for full engineering handoff. Cloud Code shows up as a practical bridge from product concept to working implementation, especially for PMs and designers who want to validate AI chat flows, interfaces, or app behaviors before formal roadmap commitment.2. Operationalize repeatable agent workflows. The mentions around skills, memory, cron-triggered jobs, and browser automation suggest Cloud Code can support PM-led systems for market research, competitive monitoring, QA, and workflow automation.
3. Improve cross-functional speed and product agency. In the Notion and Peter Yang examples, Cloud Code helps teams move beyond static specs and mockups into executable prototypes. For PMs, this means faster iteration loops, clearer communication with engineering, and better evidence when prioritizing AI features.
Related
- Anthropic: Closely connected through the Claude Code naming and ecosystem references.
- Cursor and Visual Studio Code: Referenced as environments where Claude Code or Cloud Code workflows are used for live building.
- Figma: Often appears upstream in the workflow, with Cloud Code used when teams move from mockups to functioning prototypes.
- Expo Go: Connected through mobile app prototyping, where Cloud Code was used to implement and test a React Native app.
- Chrome automation CLI and Chrome DevTools Protocol: Enable the browser-agent use case for automating web applications such as AWS.
- AWS: A concrete environment where Cloud Code’s browser automation capabilities were demonstrated.
- Perplexity MCP and Playwright MCP: Related tooling used alongside Cloud Code for research and screenshot-based workflow execution.
- Autodream, Herb’s Agent, Surf Agent, SER API, and AI Agent Dashboard: These references connect Cloud Code to a broader agentic tooling stack involving memory, skills, browsing, and orchestration.
- Notion, Peter Yang, Jenny Wen, Greg Isenberg, and Chris: Key people and organizations demonstrating how Cloud Code is used in real workflows.
- Vibe-coding, CodeEx, and claude-code: Neighboring concepts and aliases that place Cloud Code within the fast-growing AI-assisted prototyping category.
Newsletter Mentions (8)
“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.
“All About AI Automates a daily recon pipeline on "Hermes AI agent" use cases by triggering a Cloud Code skill via "cloud-p /recon" with dangerouslyAllowScriptExecution in a cron job, using SER API for Google/YouTube/News JSON searches, and running a headless Chrome Surf Agent to fact-check sources and auto-fill a Google Form.”
#5 ▶️ Automate Anything With This Simple 3-Part AI Agent System All About AI Automates a daily recon pipeline on "Hermes AI agent" use cases by triggering a Cloud Code skill via "cloud-p /recon" with dangerouslyAllowScriptExecution in a cron job, using SER API for Google/YouTube/News JSON searches, and running a headless Chrome Surf Agent to fact-check sources and auto-fill a Google Form.
“Cloud Code’s auto-memory feature writes memory files into a project-local .cloud_code/memory folder indexed in memory.md (hot memory), retrieves them on demand as warm memory, and runs an asynchronous autodream process to consolidate and update outdated entries after each session.”
#9 ▶️ Okay, this unleashed my agent AI Jason Breaks down Cloud Code’s three-layer memory system (hot in cloud.md, warm in memory.md, and background autodream consolidation) and Herb’s agent’s autonomous skill and memory reviewer sub-agents to enable AI agents that self-evolve over time. AutoResearch-based AutoAgent, evolved by Andrew Cupsy, uses a for-loop running program.mmd through Cloud Code or Codeex to self-improve the agent harness and achieved #1 on both the spreadsheet and terminal branches. Cloud Code’s auto-memory feature writes memory files into a project-local .cloud_code/memory folder indexed in memory.md (hot memory), retrieves them on demand as warm memory, and runs an asynchronous autodream process to consolidate and update outdated entries after each session. Herb’s agent spawns a Skill Reviewer sub-agent after 10 uninterrupted steps to auto-generate or patch skills via a Skill Manager with a Python-based safety scan and a Memory Reviewer agent every 10 turns to extract persona and project facts into user.md and memory.md (each capped at ~4,000 characters).
“Implemented the app in Cloud Code over three milestones, downgraded from Expo SDK 55 to SDK 54 for Expo Go on iPhone, and committed 6,400 lines of code across eight screens”
Anthropic Demos Claude Code for Mobile Apps #1 ▶️ Full Tutorial: Build a Beautiful Mobile App with Claude Code in 16 Minutes Peter Yang Builds a React Native fitness tracking app in roughly two hours using Claude for requirements, Pencil for AI-driven design, and Cloud Code with Expo Go for implementation and testing. Co-created a spec.md with Claude defining three screens (add/edit workouts, live workout session, and calendar), progressive overload rules, pound/kg toggle, and dark-only theme Generated all UI mockups in under five minutes with Pencil's AI (using Claude Opus model and six design agents) outputting a fitness.pen JSON file Implemented the app in Cloud Code over three milestones, downgraded from Expo SDK 55 to SDK 54 for Expo Go on iPhone, and committed 6,400 lines of code across eight screens
“Jenny schedules the Co-work agent to run this insight-to-delivery pipeline every Monday at 10 a.m., yielding a kickoff deck with three product ideas ready for Figma or Cloud Code prototyping.”
#2 ▶️ How Claude Cowork's Design Lead Uses Cowork in 40 Min | Jenny Wen Peter Yang Jenny Wen uses Claude Co-work to process a folder of UXR interview transcripts and social media feedback, auto-generate weekly insight reports, parallel feature proposals, and slide-deck prototypes, and schedule them every Monday at 10 a.m. Co-work ingests a local folder of UXR interview transcripts and scans web sources like Reddit and social media for “Co-work” feedback, employing parallel sub-agents to extract the main insights. Co-work spins off two parallel tasks—one listing prioritized P0/P1 product features with one-sentence specs, and another creating a presentation file (.pptx) saved into a designated folder. Jenny schedules the Co-work agent to run this insight-to-delivery pipeline every Monday at 10 a.m., yielding a kickoff deck with three product ideas ready for Figma or Cloud Code prototyping.
“All About AI Uses a Cloud Code AI browser agent with the Chrome automation CLI (via Chrome DevTools Protocol) to navigate the AWS console and complete three challenges: S3 static web hosting, Ubuntu VM provisioning with graphical remote desktop and YouTube playback, and deploying a video upload/playback web app.”
#2 ▶️ 3 AI Agent Browser Automation Challenges That Keep Getting Harder All About AI Uses a Cloud Code AI browser agent with the Chrome automation CLI (via Chrome DevTools Protocol) to navigate the AWS console and complete three challenges: S3 static web hosting, Ubuntu VM provisioning with graphical remote desktop and YouTube playback, and deploying a video upload/playback web app. Cloud Code setup leverages the Chrome automation CLI and Chrome DevTools Protocol to control Chrome for AWS console interactions. Level one took 40 minutes: created S3 bucket named "EJ Oslo site 2026", uploaded "me.png" and "index.html", enabled static website hosting, unblocked public access, and applied a bucket policy via AWS CloudShell CLI. Level three deployed a video upload application via the AWS console and CloudShell, implemented HTML/CSS front end, uploaded a 200 MB video file, and generated a public playback URL that successfully streamed the uploaded video.
“#21 ▶️ AI marketing Masterclass: From beginner to expert in 60 minutes Greg Isenberg Using Claude Code in Visual Studio Code (via Cursor), James Dickerson builds a complete AI-driven marketing funnel live in under 60 minutes—recording a two-hour vibe coding session transcribed with Whisper Flow, leveraging Perplexity MCP research, Playwright MCP screenshots, 17 custom Claude Code skills and Remotion’s free CLI—on a $200/month Cloud Code subscription.”
#21 ▶️ AI marketing Masterclass: From beginner to expert in 60 minutes Greg Isenberg Using Claude Code in Visual Studio Code (via Cursor), James Dickerson builds a complete AI-driven marketing funnel live in under 60 minutes—recording a two-hour vibe coding session transcribed with Whisper Flow, leveraging Perplexity MCP research, Playwright MCP screenshots, 17 custom Claude Code skills and Remotion’s free CLI—on a $200/month Cloud Code subscription. Defined and invoked 17 custom Claude Code skills—including "positioning angles", "direct response copy", "lead magnet" and "orchestrator"—trained on Eugene Schwartz and Claude Hopkins, then ran Perplexity MCP research for one hour to identify the "Boring Money" niche angle for $2 million–$10 million service businesses.
“In this Week 1 recap, Chris uses Cloud Code to build a YouTube shorts tracking tool, a web template with OAuth login and Stripe payments, and an AI agent dashboard, then showcases two AI-generated avatar marketing videos to launch his NPC Creative UGC agency at $49/month.”
From YouTube Solo Building an AI Native Business: The AI Video Agents Bet (Week 1) All About AI • January 09, 2026 In this Week 1 recap, Chris uses Cloud Code to build a YouTube shorts tracking tool, a web template with OAuth login and Stripe payments, and an AI agent dashboard, then showcases two AI-generated avatar marketing videos to launch his NPC Creative UGC agency at $49/month. Key Takeaways: Published 13 shorts across four channels, amassing 1.277 million views and tracking performance via a custom sync tool built with Cloud Code.
Related
Anthropic’s coding-focused assistant/tool used for building and automating engineering workflows. The newsletter references it in both security and product-usage contexts.
AI company behind Claude and related developer tools. In this newsletter it is highlighted for internal use of Claude Code and for product expansion into legal workflows.
An AI coding assistant with agentic and fast modes for development workflows. The newsletter notes a new Fast mode for Claude Opus 4.7 in Cursor.
A creator and commentator who shares practical workflows for Claude Code and personal operating systems for agents. He appears here as a curator of implementation advice for AI builders.
A startup and product operator known for sharing AI-driven business and acquisition ideas. Relevant to PMs for workflow mining and product arbitrage ideas.
A design tool used here to create a wireframe that becomes part of a multimodal prompt for generating a prototype. PMs use it to translate product intent into structured design context for AI tools.
A rapid, intuition-driven way of building software with AI assistance. For PMs, it represents low-friction prototyping and UI iteration.
A productivity company referenced through the Notion AI agent Hot Potato. It appears here as the host context for an internal standup-prep automation.
A vibe-coding tool mentioned alongside Cloud Code in Notion’s prototyping workflow. It supports direct code-based iteration for AI feature exploration.
A browser automation protocol used here to let a Claude Code agent control Chrome programmatically.
Amazon’s cloud platform. Here it is the target environment for Cursor’s new agent plugins.
Head of design at Claude, cited in the newsletter for discussing how AI tools are changing the design process. She is associated with Anthropic's design workflow.
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