It takes exactly seven days to permanently ruin a decade of muscle memory. After spending a week in agentic coding where entire features materialize from a single prompt and complex refactoring happens in one-shot bursts, I decided to switch back to my standard VS Code setup.

And the drop-off was noticeable. It felt like my fingers were moving underwater. I wasn’t just coding anymore; I was typing in slow motion, trapped in an old workflow that suddenly felt like a major con to my own thought process.

The speed gap

Don’t take my word for it

The transition didn’t happen gradually; it hit me like a wall when I opened my first workspace on Monday morning.

After a week of orchestrating a team of AI agents that could spin up entire API endpoints while I just guided the architecture, coming back to a vanilla VS Code configuration felt like someone had turned down the game speed.

The first hour was pure muscle memory frustration. I would type out a single comment outlining a new function and wait for the editor to intelligently figure out the next 30 lines of contextual logic. Instead, I was getting a blinking cursor and a standard Copilot inline suggestion that looked basic by comparison.

That’s when the reality check hit. With AI agents, I get to stay in the ‘big picture’ mindset. But back in normal VS Code, I was dragged back into micromanagement. Suddenly, I was manually hunting down file paths, fixing imports across multiple files, and writing down code that an agent would have generated in a single second.

Architect vs. typist

The difference between intent and execution

The real shock of going back wasn’t just about losing speed; it was about how much harder my brain had to work. When you spend a week coding with AI agents, your job description changes.

You stop being a typist and become an architect. You aren’t worrying about commas, syntax, or brackets. Instead, you are looking at the big picture: How should this data flow? What’s the best way to structure this feature? How do the components talk to each other? The agent handles the manual labor of actually writing the code, which leaves your mind free to focus on high-level problem-solving.

The second I went back to standard VS Code, I was instantly demoted from architect back to line-by-line typist.

I wasn’t just thinking about the feature anymore; I was dealing with the keyboard to make it happen. I had to remember the exact syntax for a specific library, make sure I didn’t miss a closing parenthesis, and manually type out repetitive logic that I already knew by heart.

Where standard VS Code still wins

The edge cases

Call it a reality check, but standard VS Code still holds an advantage when it comes to raw control.

When you are vibe coding with an agent, it’s easy to get lazy. You pass a prompt, watch 100 lines of complex logic flash onto your screen, skim it, and hit accept because it looks right on the surface. But when you do that repeatedly for a few days, you run into architectural debt.

Going back to a vanilla setup forced me to look my codebase dead in the eye again. Because I had to type every single line, I knew exactly what every loop, variable, and conditional statement was doing. Again, it depends on the kind of project you are currently working on.

If it’s a small project with a tight deadline, I prefer agentic tools. But when I am dealing with a legacy project or want to fix a deep, frustrating logic error in one of my components, I am back to standard VS Code.

Microsoft has started offering the Agents window in VS Code. It’s still in preview, though, but it’s good to see the company adopting the latest trend in the IDE space.

Agentic coding tools to consider

There are plenty

Today’s AI coding tools are not just guessing the next word you want to type; they are taking over entire programming jobs from start to finish. A great example of this is Cursor 3.0, which changes how a code editor works by letting you run multiple AI assistants at the same time.

If you prefer to work out of a terminal window instead, Anthropic’s Claude Code acts like an independent engineer inside your command line or desktop app. It can run your actual project tests, read the error messages, and rewrite the logic on its own until everything works perfectly.

OpenAI’s Codex is another solid tool that has grown from a simple autocomplete helper into a big-picture manager.

Google’s Antigravity has also evolved from a basic VS Code-inspired fork into an agentic coding tool with version 2.0.

The agentic hangover

Returning to standard VS Code made me realize the true value of agentic coding. When you spend a week operating as an architect rather than a typist, your relationship with the codebase changes.

Going back to a traditional editor feels heavy because you are suddenly forced to deal with the manual labor of syntax, imports, and repetitive scaffolding.

It feels like slow motion because your brain is already three steps ahead, and it’s basically waiting for your fingers to catch up. The agentic era has made me realize that the ultimate goal isn’t faster typing; it’s less typing.

When it comes to agentic coding, if you are confused between Claude Code, Codex, and Antigravity, check out my dedicated post to learn more.