Run a coding model locally for private code
Local models keep code on your machine.
What to do
- Smaller local models are weaker than top cloud models on hard tasks.
- GPU memory limits which model sizes run well; quantized models fit smaller GPUs.
- Tools like Ollama and llama.cpp serve models locally; many editors can point to a local endpoint.
- See best local LLM.
Copy this prompt
I have [GPU/RAM]. Recommend a local coding model setup for [language], how to serve it, and how to connect [editor]. Say what quality I should expect versus cloud models.Check the bot's work
Check model licenses before commercial use.
Questions
Can I trust the bot on local coding models?
Use it to plan and explain, then verify. Check model licenses before commercial use.
Which bot works best?
Grok Bot, ChatGPT, Claude and Gemini all handle this prompt. Paste the same prompt into two and compare; disagreements show where to check a source.
Where these facts come from
- OWASP Top 10
- CISA: Secure by Design
- GitHub Docs: Secret scanning
- W3C: WCAG overview
- Open Source Initiative: Licenses
- NIST SP 800-218: Secure Software Development Framework
Tools, features and prices change often. We don't list prices; check each vendor's official pricing page. Never paste secrets into a prompt. Checked Oct 30, 2026.
Coding with bots · Agents, tools and setup: all lessons → Next: Git with AI →