How to Use Claude Code as a Junior Developer for Cost-Effective MVPs
A step-by-step workflow to integrate Claude Code, GitHub, and Vercel for managing small app projects, reducing development overhead and speeding up iterations.
Practical Summary
This workflow turns you into a project manager for an AI 'junior dev' (Claude Code), using GitHub for version control and Vercel for deployment to build MVPs and internal tools quickly and affordably.
Why It Matters
It reduces costs by enabling rapid, scoped development without a full team, minimizes rework through structured steps, and provides a repeatable process for shipping functional prototypes.
Step 1: Write a Tiny Product Spec
Define what should exist, who uses it, and what is out of scope. This sets clear boundaries for the AI to work within, preventing feature creep.
Step 2: Use Claude Code in a Real Repository
Give Claude Code access to one repo with real files and context—not a random chat window. This ensures the AI works on actual code and can generate meaningful diffs.
Step 3: Ask for the Smallest Working Version
Request one page, one database table, or one deployable flow. Focus on core functionality to build a minimal viable product quickly.
Step 4: Push Changes to GitHub Frequently
Commit every change to GitHub so your AI dev team has memory and you can roll back if something breaks. This maintains version control and project history.
Step 5: Deploy on Vercel Early
Deploy the app to Vercel to get a real URL. A local demo is fake progress until it runs live, allowing for early user testing and validation.
Step 6: Use Prompts for Code Review
Make your next prompt a code review: ask to find bugs, security issues, missing edge cases, and unclear UX. This improves quality without rewriting the whole app.
