What is a Lint-Staged Config Generator?

It is a visual tool that generates configuration files to define which linters run against which file extensions when they are staged in Git.

Lint-staged is an npm package that filters Git-staged files and passes only those specific files to tools like ESLint, Prettier, or Jest. It drastically improves commit speeds.

How do I create lint-staged config?

You can use this tool to generate the config, and then save it as `lint-staged.config.js` or inside your `package.json` under the `"lint-staged"` key.

Should I put lint-staged config in package.json?

For simple setups, `package.json` is perfectly fine. However, if you need to run global commands like `tsc` (TypeScript) or use dynamic JS functions to modify the file list, you must use a `.js`, `.mjs`, or `.cjs` configuration file.

How do I use lint-staged with ESLint?

You map your JavaScript and TypeScript extensions to ESLint in your config, like so: `'*.{js,ts,jsx,tsx}': 'eslint --fix'`.

How do I use lint-staged with Prettier?

You map all your formatting extensions to Prettier, like so: `'*.{json,yaml,md,html,css}': 'prettier --write'`.

How do I use lint-staged with Husky?

You must first install Husky, and then create a `.husky/pre-commit` file containing the command `npx lint-staged`. When you type `git commit`, Husky triggers lint-staged.

How do I fix lint-staged config could not be found?

This error means lint-staged cannot locate your config. Verify that your file is named exactly `lint-staged.config.js` or `.lintstagedrc.json` and is placed at the root directory of your project.

Lint-Staged Config Generator – Run Linters on Staged Files

Generate lint-staged config for ESLint, Prettier, TypeScript, tests, Husky hooks, package.json, JS, MJS, TS config files, and staged files.

Output:A ready-to-use configuration file for Lint-Staged Config – Run Linters on Staged Files with best practices applied.

What is this tool?

Lint-Staged Config Generator allows you to configure rules that run formatting and linting exclusively on staged files. Instead of running ESLint and Prettier across your entire monorepo during a commit (which could take minutes), lint-staged reduces your pre-commit overhead to just a few seconds.

How to Use This Tool

Select your preferred config format (JS, MJS, TS, JSON, YAML) or embed it directly in `package.json`.
Enable the linters and formatters you use (ESLint, Prettier, Stylelint).
Configure any advanced integrations (like global TypeScript type checking or related Jest tests).
Review the generated `lint-staged.config.js` output.
Copy the config into your project and configure Husky to run `npx lint-staged` on pre-commit.

What This Tool Generates

lint-staged.config.js, .mjs, .ts or a package.json block depending on preference.
package.json dependency installation commands.
Husky .husky/pre-commit setup notes.

Enterprise Best Practices

Use JS configurations for TypeScript: Running `tsc` on isolated staged files doesn't work because `tsc` requires project-level knowledge. Use a `.js` or `.mjs` lint-staged config to wrap the `tsc` command so it runs exactly once globally across the whole project instead of per-file.
Always include --fix and --write: By running `eslint --fix` and `prettier --write`, lint-staged will automatically fix your formatting errors and re-add them to the Git commit behind the scenes.

Common Mistakes

Typing "lint-staged config could not be found". This usually happens when your configuration file name is misspelled, or you're using an `.mjs` or `.ts` extension but running an older version of lint-staged.
Trying to run heavy test suites on every staged file. Reserve full unit tests for CI pipelines or `pre-push` hooks.

Security Notes

Ensure that `lint-staged` is only running trusted commands like `eslint` and `prettier`. Do not allow arbitrary bash execution.
If using custom JS functions in your `lint-staged.config.js`, review them to ensure no credentials or environment variables are unintentionally exposed.

Related Tools

How We Keep Your Configs Safe & Valid

Built-in Error Checking

Every file is checked against official rules. We catch missing fields and bad syntax. YAML indentation errors are flagged right away. Kubernetes, Terraform, and Docker specs are all covered. API versions and labels are verified too. You get valid output every time you generate.

100% Private & Local

All tools run in your browser only. Your API keys never leave your machine. We do not use any tracking scripts. No data is sent to any server. Passwords and secrets stay on your device. Crypto operations use the Web Crypto API. Your privacy is fully protected at all times.

Secure Settings by Default

Configs use safe defaults out of the box. Containers run as non-root users. Root filesystems are set to read-only. Dangerous Linux capabilities are dropped. Network policies limit pod-to-pod traffic. TLS 1.3 is enabled for web servers. Security headers are added where needed.

Ready for CI/CD & Git

Output files are ready for your Git repo. Use them with ArgoCD, Flux, or GitHub Actions. Files use clear formatting and comments. Code review is easy for your team. Indentation and key order are consistent. Test in staging before going to production. Every file is clean and well-structured.

Infrastructure as Code

Store configs in Git alongside your code. Terraform modules include typed variables. Backend configs support remote state locking. Outputs work across multiple modules. Ansible playbooks use clear task steps. Chef and Puppet configs are also supported. Every file works with version control tools.

Monitoring & Tracing

Set up Prometheus with auto-discovery rules. Create Grafana dashboards with template variables. Add alerting rules with severity labels. Use OpenTelemetry for trace collection. Forward logs to Loki or Elasticsearch. Connect to Jaeger or Tempo for tracing. Monitor metrics, logs, and traces together.

Container & Docker Safety

Dockerfiles use multi-stage builds for small images. Base images are pinned to exact versions. Dev files are excluded from final images. Health checks are added for orchestrator use. Containers switch to non-root users. Docker Compose uses named volumes and networks. Resource limits are set in deploy configs.

Multiple Output Formats

Export as YAML, JSON, HCL, or TOML. Kubernetes uses YAML with proper separators. Terraform uses HCL with correct escaping. JSON output has consistent indentation. Copy to clipboard with one click. Preview output with syntax highlighting. Line numbers help you review quickly.