Built with Cursor. Too Complex for Lovable. Meet NeuroLint.

Hi Fam 👋

@Lovable couldn’t grasp the sophisticated code I "accidentally built" with @Cursor a few months ago.

Instead of recognizing my real 6-layer CLI system, it defaulted to mock code and basic placeholders. I’ve since reverted to my original fix-master.js and cleaned up the mess.

Here’s the moment Lovable gave up 👇

So here’s the story.

I was vibe-coding on my side project Taxfy.co.za when I suddenly started getting a flood of ESLint errors, hydration bugs, and missing React keys, over 700 issues total. Out of frastration, I told Cursor to “think outside the box!” and... it actually did. No commentary, no LLM small talk, it just created two files: fix-layer-1-config.js and fix-layer-2-patterns.js, ran both, and then checked to see if the errors had dropped.

We were stunned from 600+ issues down to just 70. Cursor itself was shocked. So we kept going.

Each time a new class of bugs showed up, Cursor responded with a new intelligent fix layer. Eventually, I had this:

• Layer 1: Config validation (tsconfig, next.config.js)

• Layer 2: Pattern fixes (HTML entities, unused imports)

• Layer 3: React best practices (keys, accessibility)

• Layer 4: SSR/hydration guards

• Layer 5: Next.js App Router optimizations

• Layer 6: Quality improvements (error boundaries, React.memo)

And the orchestrator that brings it all together: fix-master.js.

I moved those files to their own folder... and just like that, NeuroLint.dev was born.

NeuroLint is an advanced, rule-based code analysis and transformation platform that automatically fixes bugs, improves performance, and enforces best practices no unpredictable AI, just precise, layered code intelligence.

It’s built for TypeScript, JavaScript, React, and Next.js. Powered by AST parsing, pattern recognition, and deterministic rule-based fixes.

NeuroLint is still in dev mode.

#devtools #buildinpublic #ai #cursor #developers #react #startup