Claude Code helped turn a plan for a YouTube-like app into a working prototype with video uploads, playback, viewer interactions, and creator tools. The useful lesson is not that one prompt produced a finished product. The build moved through requirements, service connections, design decisions, implementation, and checks that exposed problems the developer still had to judge.
Set the boundaries before generating code
The project began with a defined stack: Next.js App Router for the web app, Tailwind CSS for styling, Supabase for accounts and application data, and ImageKit for media handling. In Claude Code’s Plan Mode, the initial requirements covered public viewing pages, an authenticated creator area, an upload flow, and analytics. A request for clarifying questions gave the agent room to resolve ambiguities before changing files.
The first minimum viable product plan also named features to leave out: comments, likes, search, and subscriber logic. Claude Code produced an eight-milestone plan in PLAN.md covering database structure, routes, API endpoints, Supabase Row-Level Security policies, and ImageKit player integration. Row-Level Security, or RLS, is a set of database rules governing which records a user can access.
That plan was a starting point to inspect, not permission to assume every decision was right. The later build included likes, comments, search, and subscriber-related dashboard figures. Those additions show why a developer needs to revisit the agreed scope as requests change: an implemented feature is not necessarily part of the original minimum viable product.
▲ Planning the application structure
Give the agent the tools and design rules it needs
Claude Code used specialized frontend skills to guide its interface work. It also connected to Supabase through Model Context Protocol, or MCP, a way for an AI agent to use tools provided by an external service. That connection let the agent inspect database structures and work with migrations. An ImageKit plugin supplied guidance for media features, while detailed ImageKit player documentation was added to the project context and the plan was updated.
With the plan in place, Claude Code scaffolded a Next.js application using TypeScript and Tailwind CSS. ImageKit handled the uploaded video asset and playback infrastructure rather than requiring a custom media pipeline. The build still needed service credentials and a local test before the connection could be checked. Although credentials were pasted into Claude Code during this build, that convenience is not a sound default for a production repository; sensitive values should be placed in an environment file without putting them in an AI chat log.
The interface had its own review point. Before applying a theme across the app, Claude Code created a style-guide page at /design with typography, colors, cards, buttons, and controls. The reviewed design used a dark background and a restrained amber accent. Only after that preview did the design rules move into the main pages. This separated the question of whether the visual system worked from the larger task of wiring every route.
Connect features, then test their behavior
The resulting app brought together a viewer-facing watch page and a creator area. Uploaded media appeared in ImageKit’s media library, and a video played through the embedded player. Likes, dislikes, and a submitted comment worked in the watch view. Search returned matching videos, and watch history recorded viewed content.
The upload workflow gained two thumbnail options: selecting a frame by scrubbing through the video or uploading a separate image. A 78.6 MB road video served as a test of frame selection. Caption controls and ImageKit-powered automatic subtitles were also checked, with transcription taking several minutes after an initial upload rather than appearing immediately.
▲ Media features and verification
These checks did not make every screen or number equally conclusive. The following distinctions matter when evaluating what the build established:
| Area | What the build showed | What still needs a developer’s judgment |
|---|---|---|
| Accounts | Sign-up displayed an email confirmation message, but sign-in failed until the Supabase email-verification configuration was changed and a profile bug was fixed | Whether that authentication policy is appropriate for the intended app |
| Playback and uploads | Sample assets uploaded, played, and supported thumbnail selection | Whether layout issues, including vertical video sizing, are resolved |
| Engagement | Likes, dislikes, comments, search, and watch history were exercised | Whether those additions belong in the agreed product scope |
| Creator analytics | A dashboard displayed 1.2K views over 28 days and individual video figures | The figures came from mock platform data, not verified activity |
A view count that did not update immediately was another visible issue. The creator dashboard supplied a useful layout and navigation test, but its synthetic channels and metrics should not be read as evidence of real usage. Some planned capabilities, including members-only access, were not established by the demonstrated checks.
Keep the human review loop in the workflow
For a similar build, start by defining the audience, required features, exclusions, stack, and completion criteria. Review the generated plan before allowing broad implementation. Then check the app in stages: service access, authentication, design, uploads, playback, and the data behind each dashboard. When something fails, give Claude Code the expected behavior and the observed result, as the failed sign-in did here.
The agent can connect and revise components quickly; the developer still has to decide whether the scope, access rules, fixes, and reported metrics fit the application.