STOP Paying for Lovable! Build SaaS 100% Free with this AI App builder and bolt.new Alternative FREE
Tired of paying for Bolt.new or Lovable AI? In this step-by-step tutorial, I show how to build a complete full-stack app—frontend, backend, auth, and deployment—using only free tools:
Prototype the frontend in Google AI Studio (aka “Google Firebase Studio” in some docs) with powerful image features.
Pull the code locally and continue in VS Code with KiloCode (open-source AI coding assistant) instead of a paid cursor ai app or bolt ai.
Source code of the project: https://github.com/zainulabedeen123/a...
Add authentication using Clerk (no code heavy setup — perfect for ai for beginners and vibe coding).
Create a Postgres DB on Neon.tech and wire it up (with or without MCP).
Deploy to Vercel on a free plan.
Along the way I compare Lovable AI vs Bolt.new (pros & cons), when a no code app builder helps vs an ai coding platform, and how to keep your stack free. If you’re a non-techie or new to ai app builder tools, this shows exactly how to make an app with AI without paying for lovable.dev or bolt.new.
What you’ll learn
Rapid prototyping with Google AI Studio (visual editing tools & thumbnail demo)
Switching to local dev with KiloCode (OpenRouter + free models)
Adding Clerk auth (Google sign-in)
Setting up Neon DB and tables
One-click deploy to Vercel (+ custom domain)
Why this stack?
It’s a practical lovable ai alternative and bolt.new alternative for build web apps and no code saas starters. You’ll see a real app move from prototype → local code → full stack ai deployment—fast.
Keywords woven in for searchers:
If you’re comparing lovable ai pricing, lovable ai review, lovable ai tutorial, or wondering how to use bolt.new AI, this walkthrough shows a fully free cursor alternative workflow using open source ai agents. Great for web development, ai software builder tests, and build SAAS with AI experiments without subscriptions.
00:00 Intro: Stop paying for Bolt / Lovable—free full-stack path
00:23 Two-tool plan: Prototype + Build everything else
00:54 Quick note: like/subscribe & hype
01:11 Google AI Studio overview (why use it)
02:29 Prototype limits (auth, payments, publish)
03:08 Start the prototype (AI thumbnail generator)
03:28 App idea & prompt
04:26 Build kicks off (free credits)
05:09 First result: upload photo & generate
05:57 Add “select area & edit” feature
06:34 API keys & integrations note
07:29 Add style presets & expressions
08:50 Results + holding props
09:30 More options: background, text styles, fonts
11:08 Better result preview
12:03 Edit tool bug appears
13:05 New test (London scene)
13:37 Still no selection—report the issue
14:09 Fixed: area selection works
14:27 Edit success (Mickey Mouse test)
14:57 Prototype done → download source
15:18 Unzip & open in VS Code
15:45 Install KiloCode (open-source AI agent)
16:23 VS Code basics & setup
17:49 KiloCode install & panel
18:30 Set OpenRouter + free models
19:31 Model choices (GLM, Gemini, etc.)
20:39 Pick free models (Gemini Flash/Pro, GLM 4.5 Air)
21:32 New chat: understand & run project
21:58 Provide Gemini API key
22:21 Tasks install deps & run
23:16 npm run dev → local success
23:46 Add Clerk auth (why Clerk vs Google console)
24:04 Choose Clerk provider(s)
25:02 Create Clerk app
25:52 Paste Clerk prompt into KiloCode
26:21 Env var setup
26:54 Clerk integrated (packages & code)
27:54 Set env & test sign-in
28:25 Sign in works; manage account
28:49 Account UI
29:17 Database with Neon (Postgres)
30:17 Add Neon MCP server (optional)
31:49 Backend prompt & wiring
32:50 Create users table logic
33:51 Ask to run SQL for tables
34:22 Execute SQL manually if needed
35:05 Vercel deploy flow
35:38 Push to GitHub repo
37:19 Push done; import in Vercel
37:45 Vercel project import
38:45 Add env vars & deploy
39:15 Live URL + quick check
39:45 Add custom domain (DNS overview)
40:43 Recap: free full-stack pipeline
41:13 Outro & what to build next
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