Production-grade engineering workspace for building, auditing, and launching fast, secure, SEO-ready web products.
This repository is set up as the operating base for Loop Engineering: documentation, standards, checklists, automation, and future application code can live here without becoming messy as the project grows.
Loop Engineering is built around one operating principle: public launches should be fast, secure, crawlable, accessible, measurable, and recoverable.
This repo currently provides the foundation:
- A lightweight website audit CLI.
- Launch-readiness playbooks.
- Security, performance, SEO, accessibility, analytics, and conversion standards.
- GitHub automation for repository quality.
- A clean monorepo-ready structure for future product code.
Foundation repo: ready for GitHub, CI, documentation, audit reports, and future code.
Add product code under apps/, shared code under packages/, and launch/audit work under audits/.
- Production launch standards for traffic, performance, security, SEO, UX, and conversion readiness.
- A high-signal
AGENTS.mdso AI coding agents know how to operate inside the repo. - GitHub issue templates, pull request template, Dependabot config, and repository quality workflow.
- Local repository checks for required docs, broken internal Markdown links, and common leaked secret patterns.
- Practical playbooks for performance budgets, security headers, SEO, conversion, architecture, and launch readiness.
- An audit scaffold command for consistent website audit evidence and reports.
.
|-- .github/ GitHub workflows and collaboration templates
|-- apps/ Future deployable apps
|-- audits/ Website, SEO, performance, and security audit reports
|-- docs/ Engineering and launch playbooks
|-- packages/ Future shared libraries or internal packages
|-- scripts/ Repo quality checks
|-- AGENTS.md Agent instructions and audit operating standard
|-- CONTRIBUTING.md Contribution workflow
|-- SECURITY.md Security policy and disclosure process
|-- package.json Local automation entrypoint
npm install
npm run checkThe default checks validate the repository foundation without requiring external services.
Create a new website audit folder:
npm run audit:new -- https://example.comRun a lightweight website audit:
npm run audit:url -- https://example.com| Command | Purpose |
|---|---|
npm run check |
Run the full repository quality gate |
npm run check:scripts |
Syntax-check local automation scripts |
npm run audit:new -- https://example.com |
Create an empty audit evidence workspace |
npm run audit:url -- https://example.com |
Generate a lightweight website audit report |
npm run lighthouse |
Run Lighthouse CI against https://gigworlds.net |
Loop Engineering work should meet these minimums before public launch:
- Core Web Vitals: LCP at or below 2.5s, INP at or below 200ms, CLS at or below 0.1.
- Security: HTTPS enforced, no mixed content, hardened headers, no exposed secrets, safe form handling.
- SEO: unique metadata, valid canonical URLs, sitemap and robots coverage, structured data where useful.
- UX: responsive layouts, accessible controls, clear page flow, visible calls to action, no console-breaking errors.
- Operations: clear ownership, rollback path, monitoring, backups, and incident response notes.
See Launch Readiness, Performance Budget, Security Baseline, and SEO Playbook.
Before pushing this repository to GitHub, decide:
- GitHub owner or organization.
- Repository name.
- Public or private visibility.
- License model: proprietary by default here, or open-source if you choose.
- Primary project type: company profile, portfolio site, client audit toolkit, product app, or engineering handbook.
Use Owner Inputs and Repository Setup for the exact GitHub configuration checklist.
This repository is public for visibility and collaboration. The current license is proprietary until the owner explicitly chooses an open-source license such as MIT or Apache-2.0.
- Roadmap
- Release Process
- Operations Runbook
- Audit CLI
- Lighthouse CI and CodeQL
- Accessibility Playbook
- Analytics and Measurement
Every meaningful change should answer three questions:
- What user, business, or operational problem does this solve?
- How was it verified?
- What risk does it introduce or reduce?
For contribution details, see CONTRIBUTING.md.