BYOM: Bring Your Own Model to Production
Run Llama, Mistral, DeepSeek, or any GGUF model entirely offline. No API keys, no telemetry, no internet required.
The vendor lock-in problem
Every AI development tool today assumes you will use their models, through their API, with their pricing. Your code flows through third-party servers. Your prompts are logged. Your intellectual property is processed by systems you do not control.
For many teams — especially those in regulated industries, defense, healthcare, and finance — this is not acceptable. They need AI-powered development tools, but they cannot send proprietary code to external APIs.
What BYOM means
Bring Your Own Model is exactly what it sounds like. You choose the model. You run it on your hardware. Midcore works with it seamlessly.
This is not a degraded experience. The same capabilities — code generation, intent compilation, scope analysis, and evidence verification — work with any sufficiently capable model. The difference is where the computation happens and who controls the data.
Supported model formats:
- GGUF models (Llama, Mistral, DeepSeek, Phi, Qwen, and hundreds more)
- ONNX models for embedding and retrieval
- Any OpenAI-compatible API endpoint (for teams that run their own inference servers)
What you get with local models:
- Zero telemetry — nothing leaves your machine
- Zero API costs — inference runs on your GPU or CPU
- Zero latency penalty from network round-trips
- Full air-gap support — works without any internet connection
The performance question
The most common question we hear: "Are local models good enough?"
The answer has changed dramatically in the past year. Quantized 8B-parameter models running on a consumer GPU now match or exceed the performance of cloud models from 18 months ago on coding tasks. For code completion, refactoring, and structured generation, local models are not just viable — they are fast.
For complex reasoning tasks that require frontier-class models, you can always connect to a cloud provider of your choice. BYOM is about giving you the choice, not forcing one path.
The bigger picture
We believe the future of AI tooling is not centralized. It is not one company running all the models for all the developers. The future is diverse — many models, many providers, many deployment options.
BYOM is our commitment to that future. Your tools should adapt to your constraints, not the other way around.
Build with proof, not promises
Join the developers compiling intent into deployable software with deterministic gates.