Open the changed files in Cursor, Copilot, Claude Code, Codex, Windsurf, or your git client and confirm the agent only touched the intended scope.
Checklist de lanzamiento para AI Coding
Genera una checklist local para revisar, probar y publicar apps creadas o modificadas con herramientas de programación con IA.
Run the command that your host will run, such as npm run build, next build, mvn package, flutter build, or the platform build step. A dev server is not enough.
Open a fresh browser profile or incognito window and complete the key path as a real user: landing, sign in if needed, create or submit data, and finish the expected action.
Search for secrets, service-role keys, private tokens, test credentials, and variables accidentally exposed to the frontend after AI edits.
Confirm build command, output directory, runtime version, region, environment variables, custom domain, CORS, redirects, and callback URLs.
Search visible pages, README, errors, empty states, and meta tags for lorem ipsum, TODO, fake testimonials, model disclaimers, or generic marketing text.
Check 360px to 430px widths for horizontal scroll, fixed buttons covering inputs, clipped dialogs, overflowing cards, and long words breaking layout.
Force failed network calls, empty lists, invalid forms, expired sessions, and 404 or not-found states. AI-built happy paths often miss these.
Run the checks that exist in the project. If there are no automated tests, write a short manual test list instead of pretending coverage exists.
Document install, local dev, build, deploy, required env vars, known limitations, and rollback steps so the next AI session or teammate has context.
For payments or external services, confirm repeated webhook delivery does not create duplicate orders, credits, emails, or records.
For public pages, inspect meta title, description, canonical URL, robots rules, sitemap inclusion, Open Graph, and whether placeholder pages are indexable.
Make sure headings, FAQ answers, definitions, and tool descriptions give short, factual answers that search engines and AI assistants can quote accurately.
For APIs or external integrations, verify request payload shape, status codes, auth headers, and cURL examples that AI may have invented.
Tab through the main UI, verify focus is visible, labels are attached to inputs, buttons have names, and dialogs can be closed without a mouse.
Esta herramienta forma parte de Herramientas de flujo con IA. Ver el flujo completo · Checklist de AI Coding antes de publicar
Acerca de esta herramienta
AI Coding Ship Checklist es una checklist local de lanzamiento para apps creadas con IA y cambios asistidos por IA. Ayuda a quienes usan Cursor, GitHub Copilot, Claude Code, Codex, ChatGPT, Windsurf, Replit Agent, Bolt, Lovable o herramientas similares a verificar lo que todavía debe hacerse después de que el modelo escribe código.
Cómo usar esta herramienta
Elige la fuente de AI coding, tipo de proyecto, stack, objetivo de lanzamiento y funciones de riesgo. La herramienta genera una checklist para completar antes de publicar o devolver el proyecto a un agent.
- Selecciona cómo se produjo el código: editor agent, Copilot, CLI agent, código copiado del chat, vibe coding builder o trabajo mixto.
- Elige tipo de proyecto, stack, objetivo y funciones como auth, pagos, base de datos, SEO público, i18n, upload, admin y APIs externas.
- Completa checks Must, Should y Optional. Añade evidencia de build, env, mobile, SEO y release.
- Copia el reporte Markdown para PRs, issues, README, notas de release o prompts de handoff para IA.
Funciones
Esta versión no sube código, no llama a un modelo y no juzga calidad automáticamente. Genera una checklist local basada en tus opciones.
- Reglas para web apps, APIs, mobile releases, browser tools y prototipos vibe-coded.
- Checks de build, variables, secretos, auth, pagos, webhooks, SEO, mobile, docs, observabilidad y rollback.
- Guardado local de configuración, checks completados y notas de evidencia.
- Export Markdown para PRs, trackers, release notes y handoff a agents.
Preguntas frecuentes
What is an AI coding checklist?
An AI coding checklist is a release checklist for code generated or modified with AI coding tools. It focuses on verification: diff review, build commands, tests, secrets, deployment config, auth, payments, SEO, mobile layout, and release notes.
Does this tool scan my repository?
No. The checklist is generated locally from the options you choose. It does not upload files, read your repository, call an AI model, or automatically judge code quality.
Who is this useful for?
It is useful for developers using Cursor, Copilot, Claude Code, Codex, or Windsurf, and for non-developers shipping apps from Bolt, Lovable, Replit Agent, or ChatGPT-generated code.
Can I use it for vibe coding projects?
Yes. Select the AI-built prototype or vibe coding builder options. The checklist will include prototype limits, placeholder copy, env vars, mobile checks, and public launch risks.