The IDE Revolution Is Here
I've used VS Code for 7 years. It was my home. My extensions, my keybindings, my theme — all meticulously curated. Switching editors felt like changing apartments.
Then I tried Cursor for a week. That week turned into 6 months, and I'm never going back.
This isn't a sponsored post. I'm paying full price like everyone else. I'm writing this because the productivity difference is so dramatic that I feel an obligation to tell other engineers.
My Daily Workflow
Here's what a typical feature implementation looks like in Cursor:
# I write a comment describing what I want:
# Create a FastAPI endpoint that accepts a PDF upload,
# extracts text with PyMuPDF, chunks it into 512-token
# segments with 50-token overlap, embeds with OpenAI,
# and stores in our Postgres pgvector table.
# Then I hit Cmd+K and Cursor generates:
@app.post("/api/documents/upload")
async def upload_document(
file: UploadFile = File(...),
db: AsyncSession = Depends(get_db),
):
if file.content_type != "application/pdf":
raise HTTPException(400, "Only PDF files accepted")
content = await file.read()
doc = fitz.open(stream=content, filetype="pdf")
text = "".join(page.get_text() for page in doc)
chunks = chunk_text(text, max_tokens=512, overlap=50)
embeddings = await embed_batch(chunks)
for chunk, embedding in zip(chunks, embeddings):
db.add(DocumentChunk(
content=chunk,
embedding=embedding,
filename=file.filename,
))
await db.commit()
return {"chunks": len(chunks), "filename": file.filename}
That's production-quality code generated in 3 seconds. No hallucinated imports. No wrong API signatures. It even matched our project's naming conventions because Cursor indexes the entire codebase.
{
"type": "comparison",
"left": {
"title": "Traditional Workflow",
"color": "red",
"steps": ["Think", "Google / Docs", "Type Code", "Debug", "~45 min"]
},
"right": {
"title": "Cursor Workflow",
"color": "green",
"steps": ["Think", "Describe in Comment", "Cmd+K Generate", "Review & Ship", "~8 min"]
}
}
The Features That Matter
- Codebase-aware completions. Tab completions that understand your project's patterns, not just the language.
- Multi-file editing. "Refactor this auth flow across all 12 files" works shockingly well.
- Chat with your codebase. Ask "where is the rate limiting middleware?" and get the exact file and line.
- Inline diffs. Every AI edit shows you exactly what changed before you accept.
The Honest Downsides
- Cost adds up. $20/month for Pro, plus API costs for heavy usage.
- Sometimes confidently wrong. Particularly with newer libraries or custom abstractions.
- Privacy concerns. Your code is sent to cloud models. Not ideal for every company.
But the productivity gain outweighs all of these. If you're still writing every line by hand in 2026, you're the developer equivalent of someone refusing to use autocomplete.
