ConfigGenerator
Code Quality Suite

Code Quality Generators

Generate battle-tested configurations for Git hooks, linters, and formatters. Eliminate code review arguments and catch bugs before they reach CI.

ESLint Config Generator

Enterprise ESLint Flat Config generation tailored for strict team workflows, security, and a11y.

Prettier Config Generator

Generate Prettier configurations enforced with team consistency and cross-platform compatibility.

Husky Config Generator

Automate Git hooks for pre-commit, commit-msg, and pre-push quality gates.

Commitlint Config Generator

Enforce Conventional Commits standards to automate changelogs and semantic releases.

Lint-Staged Generator

Optimize pre-commit hooks by running fast format and lint checks only on staged files.

Code Quality Best Practices

  • 1

    Run heavy tests in CI or pre-push, not in pre-commit hooks, to preserve developer speed.

  • 2

    Integrate eslint-config-prettier to prevent ESLint rules from fighting Prettier's formatting.

  • 3

    Never bypass pre-commit hooks (git commit --no-verify) unless absolutely critical in an emergency.

  • 4

    Ensure Husky scripts have executable permissions (chmod +x) when shared across macOS and Linux teams.

  • 5

    Use Conventional Commits to automate your changelogs and ensure semantic versioning accuracy.

Popular Team Templates

Husky + Lint-Staged
Full Pre-commit Pipeline

Standardize code formatting before every commit seamlessly.

Commitlint
Semantic Release Standard

Strict conventional commits mapped to automated SemVer releases.

ESLint
Strict Enterprise ESLint

Maximum linting coverage including security, a11y, and TypeScript.

Enterprise Code Quality & Team Workflow Generators

What is this tool?

ConfigGenerator provides an enterprise-grade suite of Code Quality tools designed to enforce coding standards, automate Git hooks, and standardize team development workflows.

What are code quality config files? These are configuration files like eslint.config.js, .prettierrc, and .husky/pre-commit that tell linters, formatters, and Git hooks exactly how to analyze and format your code. By seamlessly combining ESLint, Prettier, Husky, Commitlint, and Lint-Staged, engineering teams can catch bugs earlier, automate formatting, and enforce Conventional Commits before code ever reaches a pull request or CI/CD pipeline.

When should you use these tools? Use an ESLint Config Generator when you need a linting configuration for JavaScript, TypeScript, Bun, Vite, Nx, Vue, or enterprise projects with flat config support. Use a Prettier Config Generator when you need consistent formatting rules, editor settings, line ending choices, ESLint integration, and project-level formatting standards. Use a Husky Config Generator when you need Git hook scripts for pre-commit, commit-msg, or pre-push automation. Use a Commitlint Config Generator when you need commit message rules for Conventional Commits. Use a Lint-Staged Config Generator when you need to run ESLint, Prettier, tests, or custom commands only on staged files before committing.

Related Tools

Security Checklist

  • Review generated scripts before running them.
  • Do not paste real secrets or tokens into generators.
  • Do not commit private keys, .env files, npm tokens, or cloud credentials.
  • Be careful with package.json scripts and Git hooks that run shell commands.
  • Review third-party ESLint plugins before installing.
  • Use least privilege in CI workflows.
  • Validate generated configs locally before production.

Frequently Asked Questions

Why should I use ESLint and Prettier together?
ESLint and Prettier serve different purposes. ESLint is a code-quality tool that analyzes your logic for potential bugs (like unused variables or unsafe types). Prettier is a code-formatting tool that enforces a consistent visual style (like line width and quotes). Using them together with `eslint-config-prettier` gives you the best of both worlds without conflicting rules.
What is Husky and why do I need Git hooks?
Husky is a tool that makes managing Git hooks incredibly simple. By configuring hooks like `pre-commit` or `commit-msg`, you can automatically run linters or tests right before a developer commits code. This acts as the first line of defense in your quality gates, preventing broken or unformatted code from ever leaving a developer's machine.
How does lint-staged improve pre-commit performance?
Running `eslint .` across an entire enterprise monorepo during a pre-commit hook can take minutes, severely degrading developer experience. Lint-staged solves this by exclusively running your linters and formatters on the files that are currently staged in Git, turning a 2-minute check into a 2-second check.
What are Conventional Commits?
Conventional Commits is a lightweight convention on top of commit messages (e.g., `feat: added login`, `fix: header alignment`). By strictly enforcing this format using Commitlint, you can completely automate your semantic versioning (SemVer) bumps and changelog generation using tools like Semantic Release or Changesets.

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.

Comprehensive Production Configuration Guide & Architecture Rules

ConfigGenerator helps cloud architects, SREs, platform engineers, and full-stack developers generate validated, secure, and production-ready configuration files. Below is our standard engineering methodology for managing cloud infrastructure, application deployment manifests, and automation pipelines.

Automated Schema Validation & Syntax Guarantee

Writing configuration files manually is prone to human error. A single misplaced space in YAML, an unescaped string in JSON, or invalid syntax in HCL can cause CI/CD build failures, broken deployments, or security vulnerabilities. ConfigGenerator performs strict schema validation directly in real time. We match inputs against official specification schemas for Docker, Kubernetes, HashiCorp Terraform, GitHub Actions, and OpenAPI.

Key validation checks include indentation depth enforcement, mandatory field presence, type safety for integer/boolean parameters, and key name uniqueness to prevent silent key overrides in JSON/YAML parser engines.

Client-Side Privacy & Zero Server Ingestion

Security is our foundational priority. Unlike online formatters that send your payloads to remote servers, ConfigGenerator operates 100% inside your web browser. All template compilation, AST parsing, and code formatting run locally using client-side JavaScript Web Workers.

Your database passwords, API credentials, private certificates, JWT secrets, and environment tokens are never stored, logged, or transmitted across network sockets. You can safely generate production configurations on air-gapped workstations or restricted enterprise networks.

Enterprise Hardening & Least-Privilege Security

Default configurations provided by upstream documentation are frequently optimized for local quickstarts rather than production security. ConfigGenerator injects enterprise security defaults across all generated templates.

For container configs, we enforce non-root user execution, read-only root filesystems, and strict capability drops. For cloud infrastructure, IAM policies follow strict principle-of-least-privilege permissions. Web proxy outputs default to TLS 1.3 encryption, HSTS headers, and Mozilla-recommended SSL cipher suites.

GitOps Workflow & Infrastructure as Code Integration

Modern software engineering relies on version-controlled configurations stored alongside code repositories. Generated files are clean, strictly formatted, and ready for immediate inclusion in Git repositories.

Whether deploying via ArgoCD, Flux, Terraform Cloud, or GitHub Actions workflows, our outputs adhere to standard file naming conventions and deterministic formatting to produce clean, easily readable Git diffs during pull request code reviews.

Best Practices for Managing System Configurations at Scale

1. Separate Config from Code

Store environment-specific values (database hostnames, feature flags, memory limits) separately from application binaries. Use environment variables or external ConfigMaps to allow uniform image deployment across staging and production.

2. Never Commit Plaintext Secrets

Use secret management tools like AWS Secrets Manager, HashiCorp Vault, or Sealed Secrets for Kubernetes. Never hardcode passwords or private SSH keys into static manifest files or public repositories.

3. Implement Automated Linting

Integrate linter tools like yamllint, tflint, kube-score, and Hadolint directly into your pre-commit hooks or CI build pipelines to catch policy violations and structural defects before deployment.