EngineeringOwn InfrastructureHigh complexity
Self-Hosted Coding Assistant
Give developers AI assistance on code that must never leave the company's network.
How we approach it
Open-weight code models served on internal GPUs or a private cloud, connected to the IDE and repositories, with hardware sized to measured usage. It can run fully air-gapped, with signed one-way model updates. Usage and cost are compared with a vendor plan under zero-retention terms before committing.
Business value
AI-assisted development with the code staying in-house
Technology stack
- vLLM
- open-weight code models
- IDE plugins
- Kubernetes
- internal GPU cluster
Related service
Infrastructure & MLOpsFurther reading
Related use cases
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