Ollama users seek stable FiveM coder

This is really a workflow problem wearing a model-selection hat. For server-side FiveM work, a disciplined local coding stack will matter more than chasing the biggest model.

• –Ollama is a sensible runtime here because it already positions itself around local open models and coding integrations.
• –The current local-coding shortlist around Ollama leans toward models like Qwen3-Coder, DeepSeek Coder, and Devstral, but the best pick depends on how much RAM and latency you can tolerate.
• –FiveM server code is event-driven, database-heavy, and easy to scope by resource, which makes it a good fit for local agents if prompts stay tightly bounded.
• –The real failure mode is accidental client-side edits, so guardrails like path allowlists, diff-only review, and test runs should be part of the setup from day one.