Run production-grade coding agents on your own hardware. Complete setup guides for Qwen3-Coder-Next, DeepSeek, and more. Works with Claude Code, Cursor, and Cline.
One-time purchase. Lifetime updates as new models release.
API costs add up fast when you're vibe coding all day. Local models now match cloud performance at a fraction of the cost.
Heavy usage scenario
After one-time hardware
The hot new 80B MoE model with only 3B active params. Step-by-step Ollama and LM Studio setup.
GPU comparison charts, VRAM requirements, CPU fallback options. What you actually need.
Context length tuning, GPU layers, quantization choices. Get maximum performance.
Model download, inference settings, API endpoint setup for tool integration.
Connect local models to Claude Code. Hybrid setups with fallback to cloud.
Configure Cursor to use local models. Custom API endpoints and model routing.
Cline's local model support. Configuration for optimal coding agent performance.
Benchmark data: Qwen3-Coder vs DeepSeek vs CodeLlama. Which is best for what.
Common issues: CUDA errors, OOM crashes, slow inference. Solutions that work.
Route simple tasks locally, complex tasks to cloud. Save money without losing quality.
Network isolation, API authentication, keeping proprietary code private.
Optimized prompts for local models. System prompts that actually work.
Pre-configured settings for the best open-source coding models.
Step-by-step instructions for every major local model and integration.
Pre-tuned Ollama modelfiles and LM Studio presets for optimal performance.
Spreadsheet to estimate VRAM needs and compare GPU options for your budget.
25+ system prompts optimized for local coding models.
Test your setup against standard coding benchmarks.
New model configs added as they release. Qwen4, DeepSeek V4, etc.
Minimum: GTX 1080 (8GB) for quantized models. Recommended: RTX 3090/4090 (24GB) for full-precision models. The guide covers options from $200 used cards to high-end setups.
For coding tasks, the gap has closed dramatically. Qwen3-Coder-Next matches models with 10-20x more parameters on SWE-Bench. Great for 80% of tasks; use cloud for the hardest problems.
Yes! M1/M2/M3 Macs work great with Ollama. The kit includes Apple Silicon-specific optimizations and memory management tips.
You get lifetime updates. When new models like Qwen4 or DeepSeek V4 release, we add configs and guides. No extra charge.
Yes, all three platforms are covered. Linux gets the best performance, but Windows and WSL2 setups are fully documented.
One-time purchase. Unlimited coding. Complete privacy.
Get the Local AI Kit - $29