Descriptions:
Corbin walks through a real production development session using Devin AI to build a leaderboard feature for TextSnippet.com, a tech news aggregation platform that pulls content from sources including Bluesky, X, and Reddit. The video is sponsored by Devin, but uses an actual codebase — a Next.js app backed by Postgres tables for source entities, author entities, and story cluster snapshots — making it a useful look at what agentic coding looks like against production-grade software.
The workflow begins with a full app audit prompt, giving Devin complete context before issuing any build instructions. Corbin then runs two agents in parallel: one tasked with building the leaderboard page from existing data, another updating frontend documentation for the app’s CLI and MCP integration. Devin opens a sandboxed local environment, runs the application inside it, and navigates the UI visually to confirm that changes render correctly before opening a pull request — completing a loop from task definition through visual validation without human intervention.
The standout capability Corbin highlights is Devin’s “Test in App” mode, where the agent uses its original task instructions to know specifically what to look for when browsing the sandbox — rather than running generic checks. He frames this as a meaningful shift in solo developer leverage: the full cycle of writing code, testing it visually, and opening a reviewed PR can now run largely unattended, letting a single developer manage multiple feature branches simultaneously as if working with a junior engineering teammate.
📺 Source: corbin · Published April 14, 2026
🏷️ Format: Tutorial Demo
