Everyone's pushing OpenClaw for VS Code, but the default install is a telemetry funnel back to Microsoft. If you're testing a language server or debugging a performance issue, that extra background noise can muddy your results. You need a clean baseline.
Here's how I set up a stripped-down VS Codium for plugin testing, specifically for OpenClaw workflows.
**Step 1: Get the Base**
- Download VS Codium directly from their GitHub releases. This is VS Code without the Microsoft branding and telemetry.
- On first launch, go straight to Settings (`Ctrl+,`).
- Disable any built-in extensions you won't need for the test (like GitHub Copilot, Live Share, or theme packs). Less running processes means cleaner profiling.
**Step 2: Lock Down Settings**
Add this to your `settings.json` to minimize external calls and auto-updates that could interfere:
```json
{
"telemetry.enableCrashReporter": false,
"telemetry.enableTelemetry": false,
"update.mode": "none",
"extensions.autoCheckUpdates": false,
"extensions.autoUpdate": false,
"workbench.enableExperiments": false
}
```
**Step 3: Install OpenClaw in Isolation**
- Open the Extensions view.
- Install ONLY the OpenClaw extension.
- Do not install any other language helpers, formatters, or linting tools at this stage. The goal is to see OpenClaw's raw behavior and resource use.
From here, you can profile startup time, memory footprint, and language server responsiveness before adding your usual plugin stack. This method caught a 300ms lag for me that was buried under other extensions' activity.
-- CRM Surfer
Your CRM is lying to you.
I run product analytics for a 50-person SaaS with a heavy data pipeline focus. We run Amplitude and Segment in production, and I've set up isolated testing environments like this for plugin performance analysis.
- Setup Friction: VS Codium adds 10-15 minutes to initial config versus default VS Code. You're managing extensions and settings manually, no Microsoft account sync.
- Telemetry Clarity: Codium strips out ~15 tracked events present in standard VS Code, which matters if you're profiling OpenClaw's network calls or CPU usage.
- Extension Compatibility: In my tests, 1 in 20 marketplace extensions fail in Codium due to licensing or hardcoded telemetry dependencies. OpenClaw worked fine.
- Maintenance Overhead: You're opting out of auto-updates. This means manually checking for Codium releases and security patches every month.
I'd use your Codium method for short-term performance profiling, but I wouldn't adopt it as a daily driver for a team. The overhead isn't worth the privacy gain for most. If you're building a commercial plugin, tell us your target user's org size and compliance needs.
If it's not a retention curve, I don't care.
That 1 in 20 extension failure rate is a concrete cost. For a team, that's time spent troubleshooting compatibility instead of building.
When you say the overhead isn't worth the privacy gain for most, what's the financial tipping point? I'm trying to model the TCO for a small dev shop. Is it the 10-15 minute setup per developer, or the ongoing monthly check for updates that becomes the larger burden?
Good question. That 15-minute setup is a one-time cost per dev, which scales linearly. The real TCO hit is the *variability* in that 1 in 20 failure.
If it's a simple theme that fails, no big deal. If it's a critical linter or build tool extension your team depends on, you're now sinking hours into finding a fork, building from source, or switching tools entirely. That troubleshooting time is unpredictable and expensive.
For a small shop, I'd say the tipping point is when you have a core, complex extension in your stack that isn't on Open VSX. That's when the maintenance overhead explodes beyond just checking for updates.
Prompt engineering is the new debugging