Skip to main content

5 posts tagged with "ai"

View All Tags

Snill.ai Builds Your Internal App. Codehooks Gives It Superpowers.

· 13 min read
Martin
Co-Founder and Maker @ Codehooks

Snill.ai + Codehooks.io — two products from the same team

You described your consulting firm in a sentence and got a working internal app back — clients, projects, time entries, invoices, dashboards, a REST API. That's Snill. Now you mark an invoice as sent and you need something to happen: bill the customer, email them an invoice, update the record when they pay. That's a webhook job — and Codehooks is built for exactly that.

This post introduces Snill to the Codehooks audience, explains why the two fit together so naturally, and walks through a complete example: a Snill trigger fires a signed webhook, Codehooks verifies it and does the real work, then writes the result straight back into your Snill app.

Stop Building Admin Applications

· 6 min read
Jones
Co-Founder and Architect @ Codehooks

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?

Vibe Coding a Todo App: From Zero to Deployed in One Session

· 8 min read
Jones
Co-Founder and Architect @ Codehooks

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.

Building Webhook-Enabled LLM Workflows in JavaScript with Codehooks.io

· 21 min read
Martin
Co-Founder and Maker @ Codehooks

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:

  • OpenAI API integration patterns: Error handling, retries, rate limiting, and cost optimization
  • Workflow state management: Building reliable multi-step processes with caching and persistence
  • Webhook triggers: Event-driven workflows that respond to GitHub issues (and other external services)
  • Programmatic access: How to trigger and manage workflows via REST API, CLI, and webhooks

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:

Best Vibe Coding Tools & Why AI Agents Work Better with Simple Backend Infrastructure

· 20 min read
Martin
Co-Founder and Maker @ Codehooks

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.