Notes From Four Years of AI-Assisted Coding

The day I couldn't work was the day it really hit me. I'd burned through my Claude Code messages for the day, stared at the rate-limit screen, and just... stopped. That was the moment I realized my life had been completely revolutionized, and that I was paying for it.
Let me back up.
I've had access to AI-assisted coding for about four years, since the days when GitHub Copilot was the real deal. Back then, having something quietly suggesting the next line of code in the background felt like the future. But Copilot had its problems. It couldn't suggest multi-line edits (I hated that), and the latency. I don't know if it was peculiar to this part of the world or an internal GitHub thing, but the slowness on every tab used to anger me deeply.
Then ChatGPT dropped. I was scrolling Twitter randomly the day the demo came out, and watching it, it dawned on me that the world as we knew it was about to change, especially for software developers. The concept of autonomous agents handling or aiding coding tasks started making the rounds. What I didn't know was that Copilot's quiet competitor was already on the rise.
Then Cursor showed up. Every problem I'd had with Copilot, Cursor had shipped a solution to from the get-go. Multi-line edits, faster suggestions, the works. And the cherry on top, I witnessed an AI agent build, debug, and fix errors for the first time. For a while I was still stuck on Copilot out of habit, but the moment I actually got my hands dirty with Cursor, I switched sides immediately. Cursor became my right hand man.
I thought Cursor was the pinnacle. Oh boy, was I wrong.
The moment is fuzzy now, but if I remember correctly, I saw a demo somewhere of someone interacting with an AI agent through the terminal. Later I learned the tool was Claude Code. The initial release was madness. It unleashed something in me. I've always had the knack for building virtually anything that pops into my head, but Claude Code made it feel almost frictionless. Until it didn't. As with every other nice thing, the cracks showed up. Rate limits. Context consumption. Token costs. And then came the day I described at the top. The day I just stopped, because I'd run out of messages.
I build faster now. I ship more. I complete tasks I wouldn't have attempted four years ago. But I pay for it with cognition and my cash.
The cognition part is the one that bothers me. I notice I reach for the agent before I've even thought through the problem. I skim code I would have read line by line two years ago. When an API goes down or the context gets too long, I feel something close to panic. Not because the task is hard, but because I've forgotten what it feels like to sit with a hard task alone. That's the real bill.
Two lessons from all of this. One, in this market, innovate fast or your competition kicks you out. Cursor ate Copilot's lunch in months. Two, rely on AI tools, but keep every one of your instincts active while you do. The day you stop noticing the tradeoff is the day the tradeoff wins.