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AppLighter ships full-stack React Native templates pre-built for AI coding agents to extend safely.
Grounded in available product and source data
An AI coding agent can write code fast, but architecture, security, and design decisions still take weeks of senior engineering regardless — AppLighter offers React Native templates built for AI agents specifically to remove that gap, supplying those decisions upfront so an agent extends a solid foundation instead of starting from an empty repo.
Each template spans three layers built to move together: React Native + Expo on the frontend with production-ready screens and both themes shipped, a swappable backend called Vibecode DB that defaults to Supabase but migrates to Drizzle or Neon through a single slash command with no app-code rewrite, and a provider-agnostic AI layer supporting either Anthropic or OpenAI on a bring-your-own-key basis.
What's meant to make a template genuinely agent-ready isn't just documentation — every template ships pre-installed skills and slash commands like /add-screen, /swap-backend, and /audit-security, alongside CLAUDE.md and AGENTS.md files that spell out the codebase's architecture and conventions so an agent can extend it correctly on the first attempt rather than guessing at existing patterns.
Security gets specific rather than just claimed: the site states every Supabase table carries a reviewed row-level-security policy, every secret lives inside an edge function instead of the client bundle, and auth flows are tested against common abuse patterns, with an audit checklist published per release.
The catalog spans nearly 20 named app categories — taxi booking, food delivery, fitness, e-learning, marketplace, and more — each sold as a single-payment purchase with lifetime updates rather than a subscription, backed by a 7-day refund. The site names three specific buyers it's built for: solo developers who want a working week back instead of debugging raw agent output, agencies needing a shippable demo within days, and startup teams who'd rather spend agent effort on what's actually differentiated than re-solving auth and payments on every new project. The page reviewed does not specify whether Expo SDK major-version upgrades apply automatically or require manually re-running the update tooling, worth confirming directly for long-term maintenance planning.
Because the site's own argument is that AI writes code, not architecture — the templates supply the layered structure, reviewed security, and designer-vetted UI that an agent working from a blank canvas still tends to get wrong or skip entirely.
No — the backend layer, Vibecode DB, is a swappable abstraction defaulting to Supabase, and running a single slash command migrates the schema, policies, and edge functions to Drizzle or Neon without touching the app code itself.
Not manually — CLAUDE.md, AGENTS.md, and .cursorrules files ship with every template specifically so an agent can read the architecture map and conventions itself, rather than a developer having to explain the layout first.
There's a concrete way to check rather than taking it on faith — the /audit-security slash command runs the same security checklist locally and reports back on leaked keys, missing RLS policies, or weak edge functions in a specific codebase.
No — each template is sold as a single-payment purchase that includes lifetime updates, rather than a recurring subscription for ongoing access to fixes and improvements.
AppLighter itself is developer-first, working inside an editor with an AI agent; the same underlying templates are also offered through a related product, RapidNative, wrapped in a no-code visual builder for non-technical founders instead.
