How an old-timer explored vibecoding. Cursor. P1

I used to be very skeptical about vibecoding. But at some point, I realized that I was often coding with ChatGPT open, and surprisingly, it was writing pretty good code and giving solid advice.

The next turning point was reading a few posts about AI agents that can supposedly replace a whole development team (sounds wild, right? 😄).

So, I decided to give it a shot and started by exploring Cursor.

Spoiler alert — it is an awesome tool 🚀

Let me share a bit about what it is and my experience with it.

Cursor can generally operate in two modes:

1. A local IDE assistant — this is the stage I am currently at.
2. An AI multi-agent team — more on this in Part 2.

I downloaded Cursor and bought a subscription for about 1000 TRY. It includes $20 worth of tokens for the models to consume.

There are several models available in Cursor — both heavy-duty and lightweight ones. For instance, Composer (Fast) is the default, and it writes code beautifully. You can also switch to the budget-friendly ChatGPT Codex or other models.

Cursor indexes your entire project, fully understanding its context and tech stack. And that is where the magic happens ✨

Instead of traditional coding, you just prompt it with something like: "Ship this feature for me." It builds it out while you sit back and drink tea ☕

In terms of speed, it takes about 5 minutes instead of 2 hours of manual work.

It is incredibly smart 🙂 But you still need to keep a close eye on what it generates.

If you want to know more details, drop a comment below and I will gladly share.

To recap, here is what it can do:

• writes code;
• covers it with tests;
• runs the tests;
• configures the deployment;
• spins up containers;
• verifies health checks;
• offers architectural advice.

And it does all of this at a lightning-fast pace ⚡

Cursor is an amazing tool, and I highly recommend everyone give it a try 👍