How to Use AI for FiveM (FiveM Development)
TL;DR: aiFiveM turns plain‑English ideas into production‑ready FiveM/RedM resources. You describe the feature; it scaffolds
fxmanifest.lua, client/server Lua, and config files, then lets you download a ready‑to‑install resource.This guide is part of our complete FiveM content creation guide, covering everything from MLO design to scripting, vehicle modding, and building your creator brand.
What is aiFiveM?
aiFiveM is an AI‑powered toolkit for FiveM and RedM server owners. It converts natural‑language prompts into framework‑aware Lua resources (Standalone, ESX, QBCore, RedM). You get curated scaffolds, diffs, explanations, and a Monaco‑based editor to refine and export.
Highlights
- Chat‑driven resource generation (explanations + diffs)
- Framework presets for ESX/QBCore/Standalone/RedM
- Live editor (file tree, validation, export)
- Managed sandbox runs (Vercel/E2B) and optional FXServer runner jobs
- Flexible AI routing (OpenAI/Anthropic/Gemini/Groq via Vercel AI Gateway or direct)
- Stripe‑based plans with quotas and usage metering
- Health checks, logs, Sentry/OpenTelemetry hooks
Why use AI for FiveM development?
Benefits
- Speed: automate boilerplate and repetitive tasks
- Consistency: fxmanifest standards, client/server separation, config/locales
- Learning: explanations and diffs, not just “paste this”
Risks
- Hallucinations / flawed logic
- Security holes (missing server‑side validation)
- Licensing and asset usage pitfalls
Rule of thumb: Always review AI output, test in staging, monitor logs and Resmon.
Prerequisites
- Basic FiveM resource knowledge (folders,
fxmanifest.lua, starting resources) - FXServer setup. If you’re new, see:
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