7 Rules I Follow When Building MVPs with AI AI makes building 10x...
Prajwal Tomar@PrajwalTomar_
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Sep 10, 2025
~2 min read
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7 Rules I Follow When Building MVPs with AI
AI makes building 10x faster.
But if you don’t have rules, you’ll waste weeks fixing bugs instead of shipping.
These 7 rules are what I use daily to keep builds clean and ship MVPs fast
↓
AI makes building 10x faster.
But if you don’t have rules, you’ll waste weeks fixing bugs instead of shipping.
These 7 rules are what I use daily to keep builds clean and ship MVPs fast
↓
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1/ Commit like crazy
Cursor + Claude will break your code.
It’s normal.
That’s why I:
→ Create a new branch for every feature
→ Commit after every working step
→ Never let AI touch main
This way when things break, I can roll back in seconds.
Cursor + Claude will break your code.
It’s normal.
That’s why I:
→ Create a new branch for every feature
→ Commit after every working step
→ Never let AI touch main
This way when things break, I can roll back in seconds.
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2/ Train your AI with memory
AI forgets.
If you don’t guide it, it’ll keep repeating the same mistakes.
I keep memory docs inside every project (Cursor Project Rules + Notion files) with:
→ Auth patterns
→ Common queries
→ Security rules (RLS, validation, etc.)
It’s like giving AI a mini playbook every time I build.
AI forgets.
If you don’t guide it, it’ll keep repeating the same mistakes.
I keep memory docs inside every project (Cursor Project Rules + Notion files) with:
→ Auth patterns
→ Common queries
→ Security rules (RLS, validation, etc.)
It’s like giving AI a mini playbook every time I build.
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3/ Don’t let Cursor run on autopilot
AI agents aren’t senior devs.
If you just accept everything, you’ll ship broken apps.
Instead:
→ Read what it’s changing
→ Stop patterns early before they spread
→ Use planning prompts (Taskmaster) to scope first
You’re still the architect. Treat AI like an assistant, not the boss.
AI agents aren’t senior devs.
If you just accept everything, you’ll ship broken apps.
Instead:
→ Read what it’s changing
→ Stop patterns early before they spread
→ Use planning prompts (Taskmaster) to scope first
You’re still the architect. Treat AI like an assistant, not the boss.
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4/ Document features as they’re built
Cursor/ CC loves leaving things half-done.
So I document every feature in real time:
→ Files changed
→ How they connect
→ What still needs manual work
Later I can just feed this back into Cursor to continue cleanly.
Cursor/ CC loves leaving things half-done.
So I document every feature in real time:
→ Files changed
→ How they connect
→ What still needs manual work
Later I can just feed this back into Cursor to continue cleanly.
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5/ Review your code with CodeRabbit
Cursor writes fast, but it won’t always catch performance or security issues.
So I run @coderabbitai checks at every stage:
→ Private vibe check inside the editor
→ Fix with AI button for instant improvements
→ PR review that feels like a conversation
It’s caught bugs I would’ve never spotted myself.
Cursor writes fast, but it won’t always catch performance or security issues.
So I run @coderabbitai checks at every stage:
→ Private vibe check inside the editor
→ Fix with AI button for instant improvements
→ PR review that feels like a conversation
It’s caught bugs I would’ve never spotted myself.
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6/ Reset when things feel “off”
Context bloats.
Once Cursor starts hallucinating, it rarely recovers.
→ Start a fresh chat
→ Revert to your last good commit
→ Feed it your project rules again
A clean restart is faster than fighting broken context for hours.
Context bloats.
Once Cursor starts hallucinating, it rarely recovers.
→ Start a fresh chat
→ Revert to your last good commit
→ Feed it your project rules again
A clean restart is faster than fighting broken context for hours.
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7/ Plan in layers
Before I code, I scope in 3 steps:
→ Product (features, users, must-haves)
→ UX (flows, screens, interactions)
→ Tech (endpoints, DB schema, Supabase setup)
This layered planning means AI builds with structure, not random code dumps.
Before I code, I scope in 3 steps:
→ Product (features, users, must-haves)
→ UX (flows, screens, interactions)
→ Tech (endpoints, DB schema, Supabase setup)
This layered planning means AI builds with structure, not random code dumps.
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Final word
Anyone can throw prompts at Cursor.
But if you want secure, production-ready MVPs, you need discipline.
These 7 rules are what we use at @ignytlabs and inside @aimvpbuilders
Bookmark this for your next project, it’ll save you weeks.
Anyone can throw prompts at Cursor.
But if you want secure, production-ready MVPs, you need discipline.
These 7 rules are what we use at @ignytlabs and inside @aimvpbuilders
Bookmark this for your next project, it’ll save you weeks.