Skip to main content

I didn't notice this VS Code feature until it made me question how I code

I was working on a refactoring using VS Code the other day when I noticed something I hadn't seen before: a tiny bar chart quietly living in the status bar, tracking my AI vs. manual typing usage over the last 24 hours.

It's called AI Statistics, and it shipped in VS Code 1.103. To enable it, open settings and search for "AI stats" — flip the checkbox, and a small gauge appears in the bottom-right of your status bar. Hover over it and you get a breakdown: how much of your recent code came from AI completions versus your own keystrokes.


On the surface it sounds like a novelty. But I found myself actually pausing when I saw the numbers.

It reframed something I hadn't really thought about consciously: not whether AI coding tools are good or bad, but just how much I'm actually leaning on them day to day.

That visibility is weirdly valuable. It's the kind of data point that makes you more intentional — maybe you lean in harder on AI for boilerplate and pull back when you want to think through the design yourself. Either way, you're making a choice instead of just drifting.

It's a small feature, but it's one of those additions that changes how you relate to your own workflow. Worth enabling if you haven't yet.

Popular posts from this blog

Kubernetes–Limit your environmental impact

Reducing the carbon footprint and CO2 emission of our (cloud) workloads, is a responsibility of all of us. If you are running a Kubernetes cluster, have a look at Kube-Green . kube-green is a simple Kubernetes operator that automatically shuts down (some of) your pods when you don't need them. A single pod produces about 11 Kg CO2eq per year( here the calculation). Reason enough to give it a try! Installing kube-green in your cluster The easiest way to install the operator in your cluster is through kubectl. We first need to install a cert-manager: kubectl apply -f https://github.com/cert-manager/cert-manager/releases/download/v1.14.5/cert-manager.yaml Remark: Wait a minute before you continue as it can take some time before the cert-manager is up & running inside your cluster. Now we can install the kube-green operator: kubectl apply -f https://github.com/kube-green/kube-green/releases/latest/download/kube-green.yaml Now in the namespace where we want t...

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...