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Source code integration connecting Nebius Token Factory with NVIDIA Nemotron models.
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GitHub repository documentation detailing project features, inspiration, and architecture.
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Live execution of the copilot processing developer prompts and refactoring logic.
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Official hackathon project submission draft on Devpost.
Inspiration
What it does## Inspiration
Modern software development requires developers to spend countless hours on repetitive code refactoring, debugging execution errors, and writing boilerplate logic. Existing commercial developer copilots often rely on expensive proprietary APIs with high setup overhead. We built Nebius Code & Task Copilot to provide an open-source, ultra-low latency alternative powered by serverless infrastructure and state-of-the-art open models.
What it does
Nebius Code & Task Copilot serves as an intelligent AI-assisted workspace tool that:
- Automates Code Refactoring: Cleans, optimizes, and restructures Python snippets for performance and memory efficiency.
- Simplifies Task Execution: Translates developer prompts into clear, actionable, and structured execution outputs.
- Delivers Ultra-Low Latency: Utilizes high-throughput serverless endpoints to stream responses instantly without local GPU requirements.
How we built it
- Nebius Token Factory & AI Cloud: Handles serverless API routing and inference calls.
- NVIDIA Nemotron Open Models: Powers code reasoning, refactoring logic, and task generation (
nvidia/nemotron-3.5-super-vl-120b-a12b). - Python Execution Engine: A lightweight CLI/script runner that processes developer inputs and integrates seamlessly with web tools and cloud platforms.
Challenges we faced
Integrating serverless endpoints while maintaining clean fallback execution environments without local hardware dependency required carefully structuring API keys, environment parameters, and prompt pipelines.
What we learned
We learned how to leverage Nebius serverless model deployments alongside NVIDIA Nemotron's high-throughput generation metrics to create accessible, cost-effective developer workflows.
What's next for Nebius Code & Task Copilot
- Expanding multi-language support (JavaScript, Rust, Go).
- Building direct IDE extensions (VS Code / JetBrains plugin integration).
- Adding automated unit test generation directly into the copilot workflow.
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Nebius Code & Task Copilot
Built With
- ai-cloud
- nebius
- nvidia-nemotron
- python
- rest-api
