Six Months With Cursor: What I Actually Think
I switched my primary development environment to Cursor in March and have been using it for real work every day since. This is not a first-impressions piece or a feature walkthrough. This is what six months of daily production work actually looks like with an AI-native code editor — including the parts nobody covers in the launch-day reviews.
What Cursor Actually Is
Cursor is a code editor built on the VS Code foundation with AI capabilities integrated at every level of the experience. The word integrated matters here. The AI is not bolted on as a sidebar plugin or a floating chat window. It is woven into how the editor works: completions, inline editing, codebase-aware conversation, and automated multi-file changes are all native behaviors rather than features you activate separately.
If you already use VS Code, the transition is nearly frictionless. Your existing extensions, keyboard shortcuts, color themes, and workspace settings all transfer directly. The learning curve is not about adjusting to a new editor. It is about learning to work effectively alongside persistent AI assistance, which turns out to be a different skill than most developers expect going in.
Tab Completion: Better Than You Expect
Cursor tab completion is context-aware in a way that earlier tools were not. It does not only complete the current line based on what comes immediately before. It understands what you are trying to accomplish based on surrounding code, recent edits you made, and the broader structure of the file you are working in.
After the first week, I noticed I was reaching for the tab key in situations where I would have previously typed everything manually. After a month, accepting a well-timed suggestion started to feel as natural as typing from scratch. The acceptance rate on suggestions I find genuinely useful — not just technically correct, but actually what I wanted — sits around seventy percent, higher than I expected.
Composer: Multi-File Editing That Actually Works
Composer is where Cursor diverges most significantly from earlier AI coding tools. Instead of completing one line or one function at a time, you describe a change in plain language and Cursor proposes coordinated edits across multiple files simultaneously. You review the full diff, accept or reject individual file changes, and apply what you want.
Add authentication middleware to all API routes. Refactor this component to use TypeScript. Migrate the data fetching layer to use the new SDK. These are the kinds of tasks that previously meant careful, repetitive editing across many files with constant mental overhead tracking what changed where. Composer handles the coordination. You handle the judgment on whether the result is correct and appropriate for your codebase.
For large refactors that would otherwise take an afternoon of focused work, Composer is the feature that earns the subscription cost by itself.
Where It Falls Short
Cursor is not infallible. On complex architectural decisions, it sometimes proposes technically correct solutions that violate internal conventions a project has built up over years. Cursor has no way to know about unwritten rules, historical decisions, or the reasoning behind code that looks arbitrary from the outside. This requires the kind of contextual judgment that AI cannot fully supply without understanding the full history of a specific codebase.
Occasional slowness during peak usage hours disrupts flow in a way that is hard to quantify but easy to feel once fast completions become the baseline expectation. And at twenty dollars per month for the Pro plan, the cost is reasonable for working developers but adds up for students evaluating whether it is worth committing to.
The Honest Verdict After Six Months
Cursor has changed how I write code in ways that feel permanent rather than experimental. Not because it writes code instead of me — I still write the majority of production code, make all architectural decisions, and review every AI-suggested change carefully — but because the mechanical friction on repetitive, predictable tasks has been significantly reduced. That reduction compounds over a week, a month, a quarter. I estimate I ship meaningful features roughly thirty to forty percent faster than before the switch.
For professional developers working on real codebases with real deadlines, the subscription cost is straightforward to justify. For students, the free tier provides meaningful value without commitment. The question is no longer whether AI-assisted development is coming. It is already here. The question is how long you want to wait before treating it as a standard part of your everyday workflow.