Why RPForger writes better FiveM code than ChatGPT
Generic AI tools hallucinate FiveM natives, mix QBCore and ESX syntax in the same file, and skip critical patterns like server-side validation. RPForger doesn't — because it's built specifically for FiveM, with deep ecosystem knowledge baked into every prompt.
Claude Sonnet 4.5 + a 12,000-word FiveM system prompt
Yes, we use Claude's API — we're transparent about that. The difference is in what we send alongside your prompt: a 12,000-word system prompt encoding the full Cfx.re native reference, ox_lib's export surface, QBCore and ESX player object internals, oxmysql query patterns, NUI focus/cursor rules, anti-cheat-safe patterns, and unwritten conventions only experienced FiveM devs know. You could replicate this yourself — if you spent weeks gathering the same material and testing what works. RPForger is that work, already done.
Strict, predictable file order
Every multi-file generation lands in the same order every time: fxmanifest first, then config, then locales, then SQL, then server-side, then client-side, then NUI files, then installation steps, then recommendations. No mixed file blocks, no hardcoded magic numbers buried in scripts, no missing dependencies in your manifest. Drop the resulting zip into resources/ and run.
Themes the AI actually applies
Configure colors, menu shape, border radius, font, density, animation style, and shadow intensity once in your settings. The AI applies your theme to every ox_lib menu and NUI page it generates — including CSS keyframes for loading screens, glassmorphism when enabled, frosted-glass modals, and proper transitions. Your new resources match your existing UI on day one.
Recommendations, not just code
Every output ends with three to six concrete suggestions tailored to the specific resource: which in-game tool to use for coordinates (CodeWalker, /coords, MapEditor), which companion resources fit (screenshot-basic for receipt webhooks, pma-voice for radio), and how to test edge cases. We help you ship, not just write.
Conversation-style follow-ups
Open any past generation from your history and keep refining: 'add a leaderboard with the top ten times,' 'switch to ox_target instead of qb-target,' 'move the laptop UI behind a key bind.' Full conversation context is preserved so the AI builds on the existing code instead of starting over.
Anti-cheat aware patterns by default
No client-trusted economy logic. RegisterNetEvent only on events that should actually be triggerable from clients. Server-side validation for sensitive callbacks. Proper network ownership and state-bag usage. The patterns reflect what production servers actually use, not what looks neat in a tutorial.
See the difference yourself
Generate 1 complete script free — enough to compare against whatever you're using today. No credit card required.