Hardware advice for a local AI coding assistant for a 2–3 person development team
I’m planning a local AI coding-assistant setup for a small 2–3 person application-development team. The intended uses are IDE integration, code explanation/review, debugging, and possibly Claude Code-style workflows later. If possible, I’d like to avoid recurring ChatGPT/Claude subscriptions. This is not a large enterprise deployment or just an experiment—I want something practical, accurate, and responsive for daily development work. The hardware I currently have available is:
- Ryzen 7 5600
- 32 GB RAM
- CPU-only inference During sustained inference, CPU temperature reached about 85°C, and the inference is quite slow, so I’m looking at dedicated acceleration. I have tested
qwen3.5:9b, andqwen3-coder:30b. The 30B model appears noticeably better for deeper coding tasks, but CPU latency is still a concern.
Current benchmarks
| Model | Test | Time to load / start | Time to first token | Total completion time | Tokens/sec |
|---|---|---|---|---|---|
qwen3.5:9b | Simple 2 + 2 | — | ~35 sec | ~40 sec | 17 |
qwen3.5:9b | Write Fibonacci code in Python | — | ~1.2 min | ~2.15 min | 34 |
qwen3.5:9b | Debug a docker-compose problem | — | ~1 min | ~1.5 min | 15 |
qwen3.5:9b | Detailed Python code/architecture analysis | — | ~1.5 min | ~3 min | 18 |
qwen3-coder:30b | Detailed Python code/architecture analysis | ~30 sec | ~14 sec | ~1 min 56 sec | ~11.7 |
qwen3-coder:30b | Simple 2 + 2 | ~24 sec | — | ~5 sec generation | 84.44 |
qwen3-coder:30b | Debug a docker-compose problem | — | ~10 sec | ~28 sec | 29.34 |
qwen3-coder:30b | Write Fibonacci code in Python | — | ~1 sec | ~53 sec | 29.34 |
These are rough real-world timings; model-load time may vary depending on whether it was already resident in memory. I was happy with qwen3-coder:30b’s quality for detailed code analysis. My main problems are latency and CPU heat. What GPU, GPU configuration, NPU, or other hardware would make this genuinely usable for 2–3 developers?
I don’t want to be underbuy and end up with a setup that is frustrating or needs replacing soon, but I also don’t want to spend an exorbitant amount. I’m looking for the sensible price/performance point for a small team, including whether buying used workstation/datacenter hardware makes sense. I am trying to achieve a response under 5 seconds for normal coding prompts, while retaining quality high enough to be genuinely useful during development.
Posted Aug 12, 2026, 2:06 PM UTC