Having recently migrated my primary development environment from Sublime Text to VS Code, I conducted a series of controlled benchmarks to quantify the startup time difference. My initial hypothesis was that Sublime Text's lean architecture would result in significantly faster launch times, but VS Code's performance with a typical plugin load was less clear.
**Test Methodology:**
- **System:** macOS Ventura 13.4, MacBook Pro M1 Pro, 32GB RAM.
- **Clean Test:** No user `settings.json`, empty workspace, all extensions disabled.
- **Loaded Test:** My standard dev setup with the following core extensions enabled:
- Python (`ms-python.python`)
- Pylance (`ms-python.vscode-pylance`)
- GitLens (`eamodio.gitlens`)
- Docker (`ms-azuretools.vscode-docker`)
- Material Icon Theme (`pkief.material-icon-theme`)
- **Measurement:** Used the `/usr/bin/time -lp` command on the terminal launch of each editor (`code .` vs `subl .`). Reported the "real" (wall clock) time averaged over 10 cold-start trials.
**Benchmark Results:**
| Condition | Sublime Text (Avg.) | VS Code (Avg.) |
| :--- | :--- | :--- |
| Clean Launch | 0.21s | 1.85s |
| Loaded Launch | 0.24s | 3.72s |
**Analysis:**
Sublime Text is objectively faster in raw startup time by an order of magnitude, even with a comparable feature set via packages. The VS Code delay under load is primarily attributed to extension host activation. Notably, language servers like Pylance introduce substantial overhead as they spin up their own processes.
However, startup time is only one metric. For my workflow, VS Code's integrated terminal, debugger, and extension ecosystem justify the initial cost, as I typically have the editor open for hours. The relevant question becomes: does your workflow involve frequent editor restarts, or long-lived sessions?
For those experiencing excessive VS Code startup lag, the culprit is almost always a specific extension. I recommend a bisect approach:
1. Disable all extensions.
2. Enable them in groups to isolate the performance hit.
3. Check for known conflicts (e.g., multiple formatters/linters for the same language).
What has been your experience? For those who have optimized VS Code startup, which extensions did you find to be the most costly, and were there any non-obvious conflicts?
BenchMark
I'm a senior DevOps engineer at a mid-sized fintech shop, and our dev team of 50+ uses a mix of VS Code and JetBrains IDEs, with all CI/CD pipelines defined in Jenkins and GitHub Actions.
The startup time is just one dimension. For a real tooling decision, you need to weigh these four concrete criteria:
1. **Initial Load vs. Responsiveness After Launch:** Sublime's clean launch is consistently under 0.5s, while VS Code's Electron base adds overhead. However, VS Code's language server protocol (LSP) starts *after* the UI is ready. Your 3.72s loaded time includes LSP startup; the editor window appears in about 1.8s. For repeated file opens in a session, Sublime's advantage shrinks.
2. **Plugin Architecture and Cost:** VS Code extensions run in separate Node.js processes, which increases memory and initial load. A typical dev setup (Python, Docker, GitLens) adds 300-500MB RAM and the 2-4s delay you saw. Sublime's native plugins have less isolation but are negligible on load time. The cost is developer machine resource allocation.
3. **Workspace Context Loading:** VS Code rehydrates the entire workspace state - open files, terminal history, debug sessions - on launch. With a large project folder, this can add 2-5 seconds beyond your measurements. Sublime only loads explicitly opened files. If you frequently restart your editor, this difference compounds.
4. **Control Over Startup:** You can mitigate VS Code load via `--disable-extensions` flag for quick edits, or use the `--wait` CLI flag for script integration. Sublime's speed is inherent; there's little to tune. For CI scripting where an editor must open a file, Sublime is objectively faster by a factor of 10x.
My pick is VS Code for daily driving on established projects where you launch it once in the morning and keep it running. The ecosystem and integration (debuggers, Docker, remote containers) outweigh the cold start. Choose Sublime if you're constantly hopping between terminal and editor for config file edits, or if you're scripting editor calls inside CI jobs where 3 seconds per call adds up fast. To make a cleaner call, tell us your average daily editor restart frequency and whether you work across many small projects or a few large monorepos.
Commit early, deploy often, but always rollback-ready.
Those are some clean numbers, and your methodology is solid. The Electron overhead you're measuring is real and unavoidable, but I think it's a worthwhile trade for the integrated extension model.
Where this gets interesting in a team setting is managing that loaded startup state across dozens of developers. You've benchmarked your personal setup, but in my experience, a team's VS Code launch time balloons when you add corporate-mandated security, linting, and internal plugins. The real cost isn't the 3.72 seconds for you, it's the 8-10 seconds for the new hire whose machine is also running endpoint protection.
The plugin isolation that adds the time also prevents a bad extension from crashing the core editor, which is a security and stability win. I'd take a slightly slower, predictable launch over a fast one that hangs because a syntax highlighter went rogue.
Encrypt all the things.
Your methodology is exactly what I needed to see, thank you. The hard numbers on a clean vs. loaded launch are crucial.
When I'm building a business case for tooling, that delta between 1.85s and 3.72s for VS Code is where the real TCO hides. It's not just the developer wait time, it's the cumulative effect on a fleet of machines, especially when you factor in corporate security software and network drives. Have you considered testing with a simulated "enterprise" load, like adding a code audit or secret scanning extension? I've seen those add 2-3 seconds more.
Also, did your tests capture the memory footprint difference after launch? Sublime's consistent sub-0.5s time is impressive, but if VS Code's extensions stay resident and improve subsequent file opens, the initial penalty might be acceptable. I'd be interested in seeing the "time to productive editor" metric, not just the window appearing.
Trust but verify - especially the pricing page.
Good point about the memory footprint. That's actually what I'd want to trace next with something like `bpftrace` or `perf`. You'd see VS Code's Node processes staying resident, while Sublime's single process is just... done.
The "enterprise load" simulation is key. Adding something like a heavy security linter isn't just a linear time add, it can cause IPC chatter that blocks the main thread. That's where the TCO really spikes, because now you're not just waiting, you're fighting scheduler latency.
Time to productive editor is a better metric. For VS Code, that's often "window open + LSP ready + first IntelliSense popup". That could easily double your 3.72s number with some extensions.
System calls per second matter.