Complete Vibe Coding Tutorial: Build a Full Stack App in 30 Min with AI

Palmer scopes a map-first app for parents, with nearby activities, filters, and eventually favorites and user accounts. He uses AI and web research to discover OpenStreetMap data, then gives Replit Agent a mockup, framework documentation, and sample API data as context.

Palmer recommends keeping prompts concise, specifying the desired result, and working through features one at a time. He tests the map, filters, search, and directions, checks logs when something fails, and uses checkpoints to preserve working versions. When search turns out to be disabled, he gives the agent that specific finding to fix.

The demo adds Replit authentication and a database so users can save favorite places and mark them visited. Palmer checks the app’s requests and database when the favorites page returns a 404 and location names are missing, then uses Replit’s security scanner to find issues before deploying. The deployed app uses the same database as the preview.

Palmer says AI results vary, and polished demos hide the trial and error behind them. He advises builders to experiment, debug, and start over when needed; after a stuck attempt, they can ask AI what they learned and include that in a fresh prompt. He also describes learning web development by inspecting and asking questions about AI-generated code.

Palmer expects agents to work for longer stretches while people supervise, make architectural decisions, and step in when needed. He says successful builders take initiative, stay curious about improving their product, and have the courage to fail and try again. Peter Yang emphasizes that AI can help people who do not see themselves as engineers learn by building.