Every developer has built some version of the same admin application. Users table, CRUD forms, list views, search, filters, auth, role management, a REST API. You know the drill. You scaffold the project, wire up the endpoints, build the forms, handle validation, add pagination, implement auth — and a week later you have something that looks like every other admin app.
What if you could skip all of that and just describe what you need?
How fast can you go from an empty folder to a fully deployed full-stack app? In this post, I'll walk through a live vibe coding session where I pair-programmed with an AI agent (Claude Code) to build a todo app using React for the frontend and Codehooks.io for the backend — all deployed to the cloud in minutes.
Every prompt I typed, every decision the agent made, and every line of code it wrote is documented here. Follow along and try it yourself.
Most AI projects don't need a fleet of orchestration tools to run a few prompt chains. The real work is state management, retries, scheduling, and simple persistence—the operational glue between LLM API calls.
This post shows you how to build a production-ready text summarization workflow using Codehooks.io, the Workflow API, and OpenAI. You'll learn:
By the end, you'll have a working summarizer that caches results, stores them in a NoSQL database, and can be triggered via REST API or GitHub webhooks—all deployed with a single command.
Here's the workflow we'll build:
Updated February 2026 with new tools (Windsurf, OpenAI Codex CLI, Gemini CLI) and refreshed pricing, stats, and feature descriptions across all entries.
Ever notice how some days you're a caffeinated code ninja ready to refactor an entire codebase, while other days you can barely muster the energy to fix a typo? Welcome to the wonderfully human world of vibe coding – and the tools that get it.