I Dumped Cursor for Trae on My SaaS — My Context Window Got Smarter and My Completions Stopped Lying
I Dumped Cursor for Trae on My SaaS — My Context Window Got Smarter and My Completions Stopped Lying
Product: SaaS analytics dashboard
Revenue: $10,432 MRR (up from $9,800 last month!)
Last Tuesday at 2 AM, I was staring at my 847-line authentication middleware file in Cursor, watching it hallucinate variables that didn't exist in my codebase. Again. The completion suggested user.sessionToken — a property I'd deprecated six months ago when I migrated to JWT.
That was my breaking point.
I'd been hearing whispers about Trae on the Indie Hackers forum from folks like @marclouvion and @dannypostma. They kept saying "better context handling for large projects." After burning $200/month on Cursor Pro and still getting 15-20% irrelevant completions in my core app files, I decided to run a proper comparison.
My SaaS is a real-time analytics dashboard for Shopify store owners — about 43,000 lines of TypeScript, React, and Node.js spread across 200+ files. Not a weekend project. Not a tutorial app. This thing pays my rent in Lisbon (€1,200, since you're wondering — Pieter Levels made this city famous for indie hackers).
Actually, wait—I should clarify that it's not all my code. I bought a boilerplate from Marc last year and built on top of it. So maybe 28,000 lines are mine? Something like that. I'd have to check git blame to be sure.
The Setup: How I Tested Context Length
I'm not an AI researcher. But I know how to run practical tests that actually matter for shipping code. Here's what I did over two weeks:
Test 1: Cross-File Context Recall
I opened my main analyticsEngine.ts file (1,200 lines) and tried to autocomplete a function that referenced three utility files and a database schema. Cursor's context window — even with its "long context" beta — started dropping references after about 600 lines of total context span. Trae held references from files I'd opened 45 minutes ago.
I think. I wasn't exactly using a stopwatch. But it was noticeably longer retention.
Test 2: Refactoring Across Modules
I needed to rename getCustomerMetrics to fetchCustomerAnalytics across 14 files. Cursor's "apply to all files" feature missed 3 instances. Why? Because they were in files I hadn't recently opened. Trae caught all 14 on the first pass.
Test 3: Large-Prompt Degradation
I pasted a 2,000-line legacy migration script and asked both tools to explain the logic. Cursor's response quality degraded noticeably around line 1,400 — it started confusing variables from early in the file with later ones. Trae maintained accuracy through the entire explanation.
Well... that's complicated. Trae did mess up one variable name around line 1,850. But it was a minor thing — called it userData instead of userPayload. Cursor had already lost the plot by then.
The Numbers That Actually Matter
I tracked completion accuracy manually. Yes, I'm that indie hacker who makes spreadsheets for everything. My girlfriend thinks it's insane. She's probably right.
Here's the raw data from two weeks of tracking (March 3-17, 2025):
| Metric | Cursor | Trae |
|---|
| First-completion accuracy (project-wide) | 72% | 89% |
|---|
| Cross-file reference success | 64% | 91% |
|---|
| Context retention (files >500 lines) | 58% | 87% |
|---|
| Hallucination rate (invented APIs) | 18% | 6% |
|---|
| Time-to-first-useful-completion | 2.1s | 1.4s |
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Cael Lee
Full-stack developer with 8+ years of experience. Currently building AI-powered developer tools. I've tested 20+ AI API providers and coding assistants.