Coding with AI means using a language model to generate code, explain errors, suggest fixes, and write tests while you focus on the product decisions. Tools like Cursor, GitHub Copilot, and Claude write the implementation. You write the spec. On aidowith.me, the Mini SaaS route has 14 steps that show you how to build and ship a real product using AI-assisted coding. You start with the idea and schema, use AI to generate components, connect to a database and auth provider, handle errors with AI help, and deploy. The route takes about 5 hours and ends with a working SaaS you can show users or charge for. Each step covers what to tell the AI, what output to expect, and how to handle cases where the generated code needs adjustment. Most people who couldn't finish a side project before complete the full route in one weekend, because the AI fills in the implementation gaps that used to cause them to stop.
Last updated: April 2026
The Problem and the Fix
Without a route
- You've started 4 side projects and abandoned all of them when you hit a bug you couldn't fix
- AI generates code that looks right but breaks in ways you don't know how to diagnose
- You spend more time debugging AI output than writing features
With aidowith.me
- 14-step route that covers every build phase from schema to deployment with AI at each step
- Specific prompts for generating components, debugging errors, and writing tests
- A working deployed SaaS product at the end of the route, not an unfinished tutorial
Who Builds This With AI
Founders
Move fast on pitches, pages, research. AI as your first hire.
Marketers
Content, campaigns, and briefs done in hours instead of days.
Sales & BizDev
Prep calls, draft outreach, research prospects in minutes.
How It Works
Define your product and data model
Spec out what your SaaS does, who it's for, and what the core data model looks like. Feed this to AI to generate your schema and initial file structure.
Build features with AI-generated code
Work through auth, core features, and UI components. The route tells you what to prompt at each step and how to handle the inevitable edge cases AI misses.
Deploy and make it usable
Connect your database, set environment variables, and deploy to Vercel or Railway. Finish with a live URL you can share with real users today.
Ship your first product with AI-assisted coding
14 steps. About 5 hours. A deployed SaaS you built with AI, from idea to live URL.
Start This Route →What You Walk Away With
Define your product and data model
Build features with AI-generated code
Deploy and make it usable
A working deployed SaaS product at the end of the route, not an unfinished tutorial
"I'd been trying to build this tool for 6 months. Following the route I shipped a working version in a single weekend. AI wrote maybe 70% of the code."- Marketing analyst turned indie builder
Questions
Start with a specific, small product idea and use AI to generate the initial code. Your job is to describe what you want, test the output, and tell the AI what's broken. The aidowith.me Mini SaaS route assumes you can read code at a basic level and run a development server, but not that you can write everything from scratch. Most people with a few months of self-shown coding experience can follow the route and finish with a working product. The route fills in the gaps AI typically misses.
The most effective setup for the Mini SaaS route is Cursor as your editor with Claude or GPT-4 as the model, Supabase for the database and auth, and Vercel for deployment. Cursor lets you select code and ask questions about it directly, which makes debugging and iteration fast. The route on aidowith.me works with this stack and tells you what to install, configure, and prompt at every step. You don't need to research which tools to use. The route decides that for you.
The 14-step Mini SaaS route on aidowith.me takes about 5 hours for a basic but functional product. That includes setup, building core features, handling auth, and deploying. This timeline assumes a simple scope: one core feature done well, not a fully-featured product. The AI handles implementation speed. Your decisions about scope keep the timeline realistic. Most people who follow the route with a focused scope ship something working in a weekend.