I built 17 AI tools for developers in 4 months. Here's what I learned about shipping fast.

Published: (April 24, 2026 at 10:08 PM EDT)
3 min read
Source: Dev.to

Source: Dev.to

From idea to 17 production AI tools using Gemini, Supabase Edge Functions, and a brutal focus on shipping. Real numbers, real mistakes, real lessons.

Four months ago I had an idea: what if devs could roast their own code with AI, calculate their market salary, simulate interviews, and learn programming — all in one place, all free, all multilingual? Today CodeMasterIp has 17 production AI tools, runs in 15 languages, and serves thousands of devs.

Pick the boring stack on purpose

I went with React + Vite + Supabase + Gemini 2.5 Flash via Edge Functions. Nothing exotic. No Kubernetes. No micro‑services.

Why? Because the bottleneck was never the technology—it was always deciding what to build next.

# One Edge Function. One model. One pattern. Repeat 17 times.
https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent

Each tool ships as a “complete product”

  • Every tool has its own URL, OG image, and shareable result page.
  • A tool that can’t be shared on Twitter doesn’t exist.

Example

  • /code-roast → AI roasts your code with severity badges

Free is not a strategy. It’s the strategy

Most competing tools charge $9/mo. Mine are free.

Why? Because attention is the bottleneck, not money. A free tool that 10 000 people share beats a $9 tool that 200 people pay for—every time.

Monetization comes from the one thing people pay for: the AI chat with persistent context.

Internationalization from day 1

  • 15 languages via react‑i18next.
  • Every tool, page, and error message is localized.
  • Pre‑rendered in 12 languages inside “ blocks for SEO.

Examples of localized copy

  • Aprende programación con IA
  • Learn programming with AI
  • 用AI学编程

Result: traffic from countries I didn’t even target.

The most underrated growth lever: programmatic SEO

I generated 45 000 unique URLs programmatically by combining:

  • 12 languages × 200 topics × 18 page types

Most never rank, but some rank #1 for long‑tail queries I never imagined.

Mistakes I made (so you don’t have to)

  • Built ads first, removed them later. AdSense killed page speed and SEO (‑40 % LCP). Removed everything.
  • Tried Reddit autopromo. r/learnprogramming closed my post in 2 h. Lesson: provide value first, sell later.
  • Over‑engineered auth early. Supabase auth + Google OAuth = 30 minutes. Done.

What I’d do differently

  • Ship the first tool in a weekend. Not 4 weeks, not 17 tools. One.
  • The 17 tools came from compounding learnings: each tool was ~30 % faster to build than the previous one because the patterns repeated.

See all 17 tools in action

Visit codemasterip.com. The Code Roast tool is the most fun — paste any code and the AI will tell you what’s wrong with it (with severity levels, like a real code review).

What would you build with this stack?

Drop your ideas in the comments — I’m curious!

0 views
Back to Blog

Related posts

Read more »