How I AIA complete beginner's guide to coding with AI: From PRD to generating your very first lines of code
CHAPTERS
Beginner “safe space” goal: go from zero files to a local AI-built app
Claire frames the episode for true beginners: no coding experience, no local setup knowledge, and lots of uncertainty. The aim is to build a small, useful personal “product hub” app live, accepting hiccups and prioritizing learning over perfect code.
Drafting a minimal PRD in ChatPRD for a personal docs + prototypes hub
She starts like a product builder: write a simple requirements document first to improve downstream prompting. The PRD describes a minimal Next.js web app with two sections—Markdown docs and small prototypes.
Trying v0.dev for UI-first prototyping (and why it can help beginners)
Claire moves the PRD into v0 because it’s visual, quick to preview, and aligns well with Next.js/Vercel deployment workflows. She explains language/framework choices for beginners and why UI-first tools reduce early IDE complexity.
Scope creep and errors: recognizing when a vibe-coding tool overbuilds
The v0 output becomes more complex than requested (extra features, sandboxing, file management) and throws errors. Claire treats it as a normal outcome and uses it to teach when to abandon a path quickly.
Pivot to Cursor: scaffold a Next.js app from an empty folder using Agents
She starts from scratch in Cursor with an empty directory and uses the Agents workflow (Cursor 2.0) for a beginner-friendly build experience. Cursor scaffolds the project, installs dependencies, and creates pages quickly.
Run locally and iterate: from “Hello World” hub to the right prototype model
Claire runs the app locally (npm run dev) and validates the basic Docs and Prototypes pages. She then corrects a misunderstanding: she wants simple routes to display prototypes, not an in-app prototyping sandbox.
Add version control the beginner way: GitHub Desktop and first commits
She introduces Git and GitHub Desktop as a visual, beginner-friendly way to learn commits, diffs, and change tracking. After initializing the repo, she demonstrates how edits appear and how to discard changes.
Create a reusable PRD-writing agent file inside the repo
Claire sets up an “agents” folder and writes instructions (prd.md) that Cursor can follow to generate consistent PRDs into the docs directory. She refines the agent to emphasize technical/functional requirements over business framing.
Use the PRD agent to generate a real sample doc and validate in the app
She uses the PRD agent to create a “neighborhood task scheduler” PRD for her kid’s small chores business (weeding, trash cans, sweeping). The document appears automatically in the app’s Docs section, proving the workflow end-to-end.
Build a clickable prototype from the PRD inside the prototypes folder
Now she turns the PRD into a lightweight, clickable prototype route without databases or full auth complexity. Cursor generates a new prototype page, which shows up in the app’s Prototypes list automatically.
Debugging with AI: fix a real UI issue (gray input text)
She spots a usability bug (gray text in form fields) and feeds the screenshot/description back to Cursor. Cursor updates styling, and she confirms the fix by re-testing the sign-in flow.
Polish and documentation: README update + homepage design refresh
Claire uses an agent prompt to generate/update the repository README so others (or future-you) can run and understand the project. She then asks Cursor to make the homepage “prettier and cuter,” renaming it and improving the design.
Full workflow recap: PRD → prototype → local app → GitHub → iterate
She summarizes the complete beginner workflow and reinforces the “safe space” framing: try tools, expect misfires, pivot quickly, and aim for a working baseline. Viewers leave with a repeatable template for building docs + prototypes with AI.
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