Continuing Development in VS Code: Tips and Tricks for Seamless Workflow

Continuing development in Visual Studio Code doesn’t have to feel like reinventing the wheel; with the right tweaks, extensions, and habits you can keep your momentum flowing smoothly.

1️⃣ Stuck in the Loop: Typical VS Code Development Roadblocks

Extension overload and configuration drift

When I first joined a fast‑moving startup, the VS Code instance on my laptop looked like a digital candy store. ESLint, Prettier, GitLens, Docker, Live Share, Angular Language Service, Terraform, Python, REST Client… I could spend an entire morning scrolling through the Extensions pane, clicking “Install” whenever a teammate mentioned a new tool.

The problem didn’t surface until a week later, when Ctrl+Shift+P → Preferences: Open Settings (JSON) revealed a settings.json bloated with hundreds of entries, many of them contradictory:

{
  "editor.formatOnSave": true,
  "editor.formatOnSaveMode": "modifications",
  "[javascript]": {
    "editor.formatOnSave": false
  },
  "prettier.singleQuote": true,
  "prettier.semi": false,
  "eslint.alwaysShowStatus": true,
  "eslint.validate": ["javascript", "typescript"],
  "eslint.rules.customizations": [{ "rule": "no-console", "severity": "warning" }],
  // … dozens more …
}

Two things went wrong:

1. Extension overlap. Both Prettier and ESLint tried to format on save, resulting in a “file changed on disk” warning after each save. The editor would format, then ESLint would re‑format, and the cycle would repeat.
2. Configuration drift. The team started adding project‑specific settings directly to their global settings.json instead of using workspace settings (.vscode/settings.json). New hires inherited a half‑configured environment, and debugging why a rule wasn’t applied became a wild goose chase.

The fix was to bring discipline to the extension stack and to separate concerns between global and workspace settings.

Step 1 – Audit and prune

• Open the Extensions view, sort by “Enabled” and look for anything you haven’t used in the last month.
• Disable the rest (Ctrl+Shift+P → Extensions: Disable (Workspace)) and keep a short whitelist in .vscode/extensions.json:

  {
    "recommendations": [
      "dbaeumer.vscode-eslint",
      "esbenp.prettier-vscode",
      "eamodio.gitlens"
    ]
  }
  

• Commit .vscode/extensions.json to source control so new clones automatically suggest the same set.

Step 2 – Consolidate formatting rules

Instead of letting both ESLint and Prettier run on save, I let Prettier handle whitespace and ESLint enforce code‑style rules via eslint-config-prettier. The final .eslintrc.json looked like this:

{
  "extends": [
    "eslint:recommended",
    "plugin:@typescript-eslint/recommended",
    "prettier"
  ],
  "plugins": ["@typescript-eslint"],
  "rules": {
    "no-console": "warn",
    "quotes": ["error", "single"],
    "semi": ["error", "never"]
  }
}

And the workspace settings.json became a single source of truth:

{
  "editor.formatOnSave": true,
  "editor.defaultFormatter": "esbenp.prettier-vscode",
  "[javascript]": {
    "editor.defaultFormatter": "dbaeumer.vscode-eslint"
  },
  "eslint.validate": ["javascript", "typescript"]
}

Now every save runs Prettier first, ESLint runs as a linting step, and there’s no clash.

Step 3 – Freeze the baseline

I introduced a “settings lock” script that runs as part of the CI pipeline:

# scripts/verify-settings.sh
#!/usr/bin/env bash
set -e

EXPECTED=$(cat .vscode/settings.json)
CURRENT=$(code --user-data-dir /tmp/vscode-data --list-extensions | wc -l) # dummy check

if ! diff <(echo "$EXPECTED") <(cat .vscode/settings.json); then
  echo "⚠️ Workspace settings drift detected. Please run 'npm run sync-settings'."
  exit 1
fi

The script is cheap, but it forces the team to keep the .vscode folder in sync with the repo. When a new extension is required, we add it to extensions.json and bump the version of the “sync‑settings” npm script. No more rogue global tweaks.

Terminal fragmentation and task duplication

Another pain point cropped up when we started using the integrated terminal for everything: docker compose up, npm run dev, git push, aws s3 sync. Each developer opened a new terminal tab, typed the same commands, and when the day ended the terminal history was a mess of interleaved outputs. A junior teammate once asked why the npm run lint output kept showing errors from a previous session; the culprit was a stale terminal still watching the same file watcher.

Two symptoms made the problem obvious:

• Multiple tasks.json entries for the same script scattered across different projects.
• Frequent “Port 3000 already in use” errors because several terminal tabs launched the same dev server.

The remedy is to treat the integrated terminal as a task runner, not a manual console. VS Code’s tasks.json can launch, monitor, and automatically terminate processes, keeping the workspace tidy.

Unified task definition

We created a single .vscode/tasks.json at the repository root that covers all common workflows:

{
  "version": "2.0.0",
  "tasks": [
    {
      "label": "🔧 Install dependencies",
      "type": "shell",
      "command": "npm ci",
      "group": "none",
      "problemMatcher": []
    },
    {
      "label": "🚀 Start dev server",
      "type": "shell",
      "command": "npm run dev",
      "isBackground": true,
      "problemMatcher": {
        "owner": "typescript",
        "fileLocation": ["relative", "${workspaceFolder}"],
        "pattern": {
          "regexp": "Compiled successfully",
          "file": 1,
          "location": 2,
          "message": 0
        },
        "background": {
          "activeOnStart": true,
          "beginsPattern": "Compiled successfully",
          "endsPattern": "Compiled with errors"
        }
      }
    },
    {
      "label": "🐳 Docker compose up",
      "type": "shell",
      "command": "docker compose up",
      "isBackground": true,
      "problemMatcher": []
    },
    {
      "label": "🧹 Clean up",
      "type": "shell",
      "command": "npm run clean && docker compose down",
      "group": "test",
      "problemMatcher": []
    }
  ]
}

Notice the isBackground flag on the dev server and Docker tasks. VS Code now knows when the process is “ready” (the “Compiled successfully” line) and will keep the terminal alive without blocking other tasks.

One‑click execution

Instead of typing npm run dev into a terminal, I press Ctrl+Shift+P → Tasks: Run Task → 🚀 Start dev server. The terminal opens, the task label appears in the status bar, and if I press Ctrl+Shift+P → Tasks: Terminate Task → 🚀 Start dev server, VS Code sends a graceful SIGINT to the process, clearing the port for the next run.

Because the tasks are defined in the repository, any new checkout automatically inherits the same command set. No more “my colleague uses yarn, I use npm” mismatches.

Sharing environment variables

Often we need secrets like API_KEY or AWS_PROFILE. Hard‑coding them in the terminal leads to accidental commits. VS Code lets you reference a .env file directly from a task:

{
  "label": "🔐 Run with env",
  "type": "process",
  "command": "npm",
  "args": ["run", "serve"],
  "options": {
    "envFile": "${workspaceFolder}/.env.local"
  }
}

Now the task picks up the variables, the terminal shows process.env.API_KEY correctly, and the file stays out of version control (add it to .gitignore).

Preventing duplicate tasks

If you open a folder that already contains a tasks.json, VS Code merges it with the workspace definition. I ran into a scenario where a sub‑module shipped its own “npm run dev” task, and the top‑level tasks.json also defined a “🚀 Start dev server”. The UI displayed two identical entries, and I kept launching the wrong one.

The solution was to namespace tasks by folder:

{
  "label": "🚀 Start dev server (frontend)",
  "type": "shell",
  "command": "npm run dev",
  "options": { "cwd": "${workspaceFolder}/frontend" },
  "group": "build"
},
{
  "label": "🚀 Start dev server (backend)",
  "type": "shell",
  "command": "npm run dev",
  "options": { "cwd": "${workspaceFolder}/backend" },
  "group": "build"
}

Now the task picker shows clear, distinct options and the chance of stepping on each other’s ports drops dramatically.

Automation hook

To keep the terminal tidy after a day’s work, I added a pre‑shutdown hook in settings.json:

{
  "terminal.integrated.confirmOnExit": false,
  "tasks.onDidTerminateTask": "npm run clean && docker compose down"
}

VS Code doesn’t expose a direct “on task end” setting yet, but a tiny extension (a few lines of TypeScript) can listen to the vscode.tasks.onDidEndTaskProcess event and run the cleanup command automatically. The result? No more forgotten containers eating RAM on the dev machine.

By treating the terminal as a managed resource rather than an ad‑hoc scratchpad, the workflow becomes reproducible, the workspace stays quiet, and the dreaded “Port already in use” error turns into a rare exception instead of a daily nuisance.

These two roadblocks—extension bloat and fragmented terminals—are the most common culprits that stall a dev’s momentum in VS Code. The mitigation steps above have turned my own chaotic setup into a predictable, shareable environment that lets me focus on code rather than configuration gymnastics.

🔍 Deep‑Dive: Evaluating VS Code’s Native Tools vs. Third‑Party Extensions

Built‑In Debugger vs. Extension Debuggers – a pros & cons comparison

When I first tried to debug a Node.js micro‑service that was spun up inside Docker, I instinctively reached for the VS Code built‑in debugger. It worked out of the box for a simple node app.js run, but as soon as the service required remote container attachment, the experience became a juggling act.

Below is a practical breakdown of the two approaches based on three real‑world criteria: setup friction, feature depth, and maintainability.

1. Setup friction
   • Built‑in debugger: A single .vscode/launch.json entry is enough for local Node, Python, or .NET Core. The UI auto‑detects breakpoints, call‑stacks, and variable watches. No extra packages.
   • Extension debuggers (e.g., Docker, Chrome Debugger, Java Debugger): Often require a combination of devcontainer.json, remote attach configurations, and sometimes a companion CLI tool. In my Docker‑compose scenario, I needed to add "remoteRoot": "/app" and expose a debug port, then install the ms-vscode-remote.remote-containers extension. That added roughly 30 minutes of trial‑and‑error.
2. Feature depth
   • Built‑in: Handles basic breakpoints, step‑over/into, watch expressions, and hot‑code replace for interpreted languages. It also supports debugConsole and logpoints without extra steps.
   • Extension: Gives you language‑specific niceties. For Java, the Language Support for Java(TM) by Red Hat extension adds method entry/exit tracing and conditional breakpoints with full Maven/Gradle integration. The Debug Adapter Protocol used by many extensions also opens doors to remote debugging over SSH, attach to V8 isolates, or debugging compiled WebAssembly—features the native debugger simply doesn’t expose.
3. Maintainability
   • Built‑in: Fewer moving parts mean fewer version conflicts. When VS Code updated from 1.78 to 1.79, my Node launch config kept working without any changes.
   • Extension: You inherit the extension’s release cadence. I once hit a regression in the Python debugger after a minor update; the fix arrived two weeks later, forcing a temporary rollback. On the flip side, the same extension delivered an auto‑detect virtual environment feature that saved me hours of manual path tweaking.

My current rule of thumb is simple: start with the built‑in debugger for anything that runs locally or in a straightforward container. If you hit a wall—especially around language‑specific introspection or remote attach—reach for the dedicated extension.

Here’s a minimal launch.json that works for both approaches with a tiny tweak:

{
    "version": "0.2.0",
    "configurations": [
        {
            "type": "node",
            "request": "launch",
            "name": "Launch Local",
            "program": "${workspaceFolder}/app.js",
            "cwd": "${workspaceFolder}",
            "console": "integratedTerminal"
        },
        {
            "type": "node",
            "request": "attach",
            "name": "Attach to Docker",
            "port": 9229,
            "address": "localhost",
            "localRoot": "${workspaceFolder}",
            "remoteRoot": "/usr/src/app",
            "skipFiles": ["<node_internals>/**"]
        }
    ]
}

Notice how the second configuration is essentially the same payload that the Docker extension injects under the hood. If you install that extension, it will surface the “Attach to Docker” entry automatically, but you still have full control of the JSON if you need to fine‑tune it.

Integrated Terminal vs. External Shell – performance and ergonomics

One of the subtle friction points I encountered after moving to a monorepo was the latency of the VS Code integrated terminal when running heavy npm run build scripts. The terminal felt “throttled” compared to my favorite external zsh session launched from iTerm2.

To understand why, I measured two metrics on a MacBook Pro (M1, 16 GB RAM):

• Input latency – time from keypress to character appearing.
• CPU usage – percentage of a core consumed by the terminal process while idle and during a build.

Results:

Environment	Input latency (ms)	Idle CPU %	Build CPU % (peak)
VS Code Integrated (default)	12	2.4	85
iTerm2 (zsh)	4	0.8	83
Windows Terminal (pwsh)	7	1.2	88

The numbers show that the integrated terminal isn’t dramatically slower on CPU, but the extra layers (VS Code’s web‑view, PTY handling, and the default bash on macOS) add a few milliseconds per keystroke. Over a long session, that latency adds up and becomes noticeable when you’re editing a long command line.

There are three practical ways to mitigate the issue without abandoning the convenience of a built‑in terminal:

1. Switch the shell. By default VS Code inherits the system shell. I changed "terminal.integrated.defaultProfile.osx" to "zsh", matching my external configuration. The result? Input latency dropped from 12 ms to 6 ms.
2. Enable “terminal.integrated.scrollback” optimizations. Setting a lower scrollback limit (e.g., 5000) prevents the terminal from holding an enormous buffer that the UI has to render. In a build pipeline that prints thousands of lines, this cut the UI render time by roughly 30 %.
3. Use the “External Terminal” launch mode for heavy tasks. VS Code lets you define a debug configuration that spawns an external terminal. For example, a launch.json entry for a Python script can include "console": "externalTerminal". When I switched my Django runserver to an external iTerm2 window, the manage.py runserver command responded instantly, and the CPU usage pattern mirrored the native iTerm2 case.

Here’s a snippet that forces the external terminal for a Go debugging session:

{
    "name": "Launch Go (external)",
    "type": "go",
    "request": "launch",
    "mode": "debug",
    "program": "${workspaceFolder}/cmd/main.go",
    "console": "externalTerminal"
}

Using externalTerminal does sacrifice a tiny amount of workflow cohesion—clicking a breakpoint no longer opens the output in the same pane. However, the trade‑off is worthwhile when you’re dealing with high‑throughput log streams or interactive REPLs that would otherwise choke the integrated UI.

One more ergonomic tip: map a keybinding to toggle between the two terminals. Add the following to keybindings.json:

[
    {
        "key": "ctrl+`",
        "command": "workbench.action.terminal.toggleTerminal"
    },
    {
        "key": "ctrl+shift+`",
        "command": "workbench.action.terminal.newWithProfile",
        "args": { "profileName": "zsh (External)" }
    }
]

Now Ctrl+` brings up the integrated terminal for quick commands, while Ctrl+Shift+` spins up a fresh external shell. I use this combo daily when I need to run a quick git status and then switch to a full‑blown npm run dev in my external iTerm2 window.

In practice, I’ve found that a hybrid approach—native debugger for most day‑to‑day work, extension debuggers for edge cases, and a mix of integrated/external terminals for performance‑sensitive tasks—delivers the smoothest experience. The key is to keep the configuration files small and version‑controlled, so you can spin up a fresh environment on a teammate’s laptop and have the same “optimal” setup without a manual checklist.

🚀 Real‑World Blueprint: A Case Study of smooth Continuous Development

Case Study – Migrating a Monorepo to VS Code with Tasks, Launch Configs, and Live Share

When our team inherited a sprawling monorepo that housed three Node.js services, a React front‑end, and a shared TypeScript utilities package, the first thing we asked ourselves was: how do we keep the developer experience fast and consistent across all those moving parts? The answer turned out to be a combination of VS Code tasks, a well‑structured launch.json, and a little help from Live Share during pair‑programming sessions.

We started by standardising the folder layout:

repo/
├─ packages/
│  ├─ api/
│  │  ├─ src/
│  │  └─ package.json
│  ├─ web/
│  │  ├─ src/
│  │  └─ package.json
│  └─ utils/
│     ├─ src/
│     └─ package.json
└─ .vscode/
   ├─ tasks.json
   └─ launch.json

Each package already had its own npm run scripts for build, test, and start. Rather than duplicate those commands in the IDE, we wrapped them in VS Code tasks that could be invoked from the Command Palette, the status bar, or a keyboard shortcut.

Here’s the core of .vscode/tasks.json that we settled on:

{
  "version": "2.0.0",
  "tasks": [
    {
      "label": "api: install",
      "type": "npm",
      "script": "install",
      "path": "packages/api"
    },
    {
      "label": "web: install",
      "type": "npm",
      "script": "install",
      "path": "packages/web"
    },
    {
      "label": "utils: build",
      "type": "npm",
      "script": "build",
      "path": "packages/utils"
    },
    {
      "label": "api: start",
      "type": "npm",
      "script": "start:dev",
      "path": "packages/api",
      "isBackground": true,
      "problemMatcher": "$tsc-watch"
    },
    {
      "label": "web: start",
      "type": "npm",
      "script": "start",
      "path": "packages/web",
      "isBackground": true,
      "problemMatcher": "$tsc-watch"
    },
    {
      "label": "dev: all",
      "dependsOn": [
        "utils: build",
        "api: start",
        "web: start"
      ],
      "dependsOrder": "sequence",
      "problemMatcher": []
    }
  ]
}

Notice the dev: all composite task. Running it once spawns the shared utilities build, then fires up both the API and the front‑end in watch mode. Because the individual tasks are marked isBackground, VS Code treats them as long‑running processes and keeps the debug console attached.

Next we wired the debugger. The monorepo uses ts-node-dev for the API and vite for the front‑end, both of which expose a --inspect flag. Our .vscode/launch.json looks like this:

{
  "version": "0.2.0",
  "configurations": [
    {
      "name": "API: Debug",
      "type": "node",
      "request": "attach",
      "port": 9229,
      "restart": true,
      "preLaunchTask": "api: start",
      "outFiles": ["${workspaceFolder}/packages/api/dist/**/*.js"]
    },
    {
      "name": "Web: Debug",
      "type": "pwa-chrome",
      "request": "launch",
      "url": "http://localhost:5173",
      "webRoot": "${workspaceFolder}/packages/web",
      "preLaunchTask": "web: start"
    },
    {
      "name": "Full Stack: Debug",
      "type": "compound",
      "configurations": ["API: Debug", "Web: Debug"]
    }
  ]
}

Running the Full Stack: Debug compound configuration automatically triggers the preLaunchTask for each service, then attaches the Node debugger to the API and launches Chrome for the React app. The whole workflow collapses into a single F5 press.

Live Share became the glue when we needed to bring a junior developer up to speed on the new setup. By sharing the workspace folder, the entire .vscode configuration traveled with the session. The guest could instantly run dev: all, hit breakpoints, and even inspect the shared utils package without cloning anything locally. The only friction point was ensuring that everyone had the same Node version; we solved that by adding an .nvmrc to the repo root and a small VS Code task wrapper that runs nvm use before any npm script.

After a week of using this configuration, we measured a 30 % reduction in the time it took new contributors to spin up a working environment. The numbers are simple: before, a fresh checkout required manually running npm install in three directories, adjusting .env files, and opening two terminal windows. After the migration, a single Ctrl+Shift+P → “Tasks: Run Task” → “dev: all” got everything running, and the debugger was already wired.

Step‑by‑step Automation: Lint, Test, and Deploy in One Click

Having a reliable dev loop is only half the battle. The next challenge was to make sure that the same quality gates we run locally also fire in CI, without developers having to remember a dozen commands. VS Code’s task runner can orchestrate a full pipeline that runs lint → test → deploy with a single shortcut.

Our package scripts already expose the needed steps:

# packages/api/package.json
{
  "scripts": {
    "lint": "eslint src --ext .ts",
    "test": "jest --coverage",
    "build": "tsc",
    "deploy": "node scripts/deploy.js"
  }
}

To chain them, we added a new composite task called api: pipeline:

{
  "label": "api: pipeline",
  "dependsOn": [
    "api: lint",
    "api: test",
    "api: build",
    "api: deploy"
  ],
  "dependsOrder": "sequence",
  "problemMatcher": [],
  "runOptions": {
    "runOn": "folderOpen"
  }
}

The dependsOrder key forces VS Code to execute each child task one after another. If any step fails, the chain aborts, and the problems view surfaces the relevant diagnostics. Because each child task is defined as an npm type, we get automatic output parsing and error highlighting without writing custom problem matchers.

We also wired a keyboard shortcut for developers who want to trigger the entire pipeline without opening the Command Palette:

// keybindings.json
{
  "key": "ctrl+alt+d",
  "command": "workbench.action.tasks.runTask",
  "args": "api: pipeline",
  "when": "workspaceFolderCount == 1"
}

Now the workflow looks like this:

1. Make a code change in packages/api/src/controllers/user.ts.
2. Press Ctrl+Alt+D. VS Code runs npm run lint, flags any style violations, then proceeds to npm test. Test failures stop the chain, letting the developer fix the issue before moving on.
3. On a green run, the build step compiles the TypeScript files into dist/, and finally deploy pushes the new version to our staging environment via a custom AWS SDK script.

The real win came when we added a post‑deployment verification step that runs a small curl health‑check against the newly deployed service. Because the verification runs as a separate npm run verify script, we could extend the pipeline without touching the VS Code configuration:

{
  "label": "api: pipeline",
  "dependsOn": [
    "api: lint",
    "api: test",
    "api: build",
    "api: deploy",
    "api: verify"
  ],
  "dependsOrder": "sequence"
}

From a metrics standpoint, the team’s mean time to recovery (MTTR) on broken builds dropped from 45 minutes to under 10 minutes. The reduction came primarily from the “fail fast” nature of the pipeline: a lint error that previously went unnoticed until a PR review now stops the process instantly, and the problems pane points directly to the offending line.

For those who prefer visual cues, we added a custom status bar item that reflects the pipeline state. The extension status-bar-tasks (a tiny wrapper we wrote in a few lines of JavaScript) reads the current task’s processId and switches the icon between a green check, a spinning loader, or a red cross. The code is straightforward:

// statusBarTasks.js
const vscode = require('vscode');

function activate(context) {
  const item = vscode.window.createStatusBarItem(vscode.StatusBarAlignment.Left);
  item.text = '$(clock) Idle';
  item.show();

  vscode.tasks.onDidStartTaskProcess(e => {
    if (e.execution.task.name === 'api: pipeline') {
      item.text = '$(loading~spin) Running pipeline...';
    }
  });

  vscode.tasks.onDidEndTaskProcess(e => {
    if (e.execution.task.name === 'api: pipeline') {
      const success = e.exitCode === 0;
      item.text = success ? '$(check) Pipeline OK' : '$(error) Pipeline Failed';
    }
  });
}
exports.activate = activate;

Because the status bar lives inside the same workspace folder, every developer sees the same real‑time feedback, whether they’re working locally or remotely via Live Share.

Putting it all together—tasks for setup, launch configurations for debugging, a compound pipeline for quality gates, and a tiny UI tweak for visibility—gave us a development loop that feels almost frictionless. The monorepo now behaves like a collection of single‑purpose projects, each with a one‑click “run everything” experience, yet stays coherent under a single VS Code workspace.

If you’re wrestling with a similar multi‑repo setup, start by cataloguing the npm scripts you already have, then map each one to a VS Code task. From there, group related tasks into composites, attach them to launch configs, and sprinkle in a shortcut or two. The result is a workflow that lets you focus on code, not on the plumbing that makes the code run.

Frequently Asked Questions

How can I quickly reopen the last workspace I was working on after closing VS Code?

VS Code remembers the most recent folder or workspace you had open. The easiest way to continue dev in VS Code is to launch the editor without any arguments; it will automatically restore the previous session. If you prefer a manual step, use File → Open Recent or press Ctrl+R (macOS: Cmd+R) to view a list of recent workspaces and select the one you want to resume. This simple habit keeps your development flow uninterrupted.

Is there a way to keep my terminal sessions alive when I restart the editor?

Yes. Install the “Terminal Persist” or “tmux‑integration” extensions, which capture the state of your integrated terminals and restore them on launch. Alternatively, configure the built‑in terminal to use a shell like zsh or bash with session‑saving features (e.g., screen or tmux) before starting long‑running processes. When you open VS Code again, the terminals will reconnect, letting you continue development in VS Code without re‑starting servers or scripts.

What shortcuts help me jump back to the file I was editing before I opened a new tab?

VS Code includes navigation shortcuts that let you flip between recent files. Press Ctrl+Tab (macOS: Ctrl+Tab) to open the “Quick Open” picker showing the most recent editors; release the keys on the file you want. For a single step back, use Alt+← (macOS: Ctrl+-) which follows the navigation history. These shortcuts make it effortless to continue dev vscode without losing context.

Can I automatically sync my VS Code settings and extensions across multiple machines?

Absolutely. VS Code’s Settings Sync (built‑in since version 1.48) lets you store your configuration, keybindings, snippets, and extensions in the cloud using a GitHub or Microsoft account. Enable it via Settings Sync: Turn On in the Command Palette. Once activated, any change you make on one machine is pushed and pulled to others on startup, ensuring a consistent environment. This eliminates the need to manually reinstall extensions each time you continue development in VS Code on a new workstation.

How do I set up a “continue dev” task that runs automatically when I open a project?

Define a task in .vscode/tasks.json that starts your build, server, or watcher processes, then add a runOn property in .vscode/settings.json with "runOn": "folderOpen". For example, a simple npm script can be launched with a task named “dev”. When you open the folder, VS Code will prompt to run the task, or you can use the “Auto Run Task” extension to execute it without prompting. This setup lets you keep development going in VS Code smoothly each time you open the project.

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