Neo - Fully autonomous AI engineering agent
Neo is an autonomous AI agent that works inside VS Code. It plans and executes multi-step work across agents, LLM applications, and ML pipelines—using your codebase, data, and experiments to ship faster with inspectable artifacts.
It can reason over your repository, wire tools and retrieval, debug training runs, and help you develop production-ready AI workflows—all without leaving your editor.
Who Neo Is For
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GenAI & LLM Engineers
Build and debug RAG systems, fine-tune and evaluate modern models (Llama 3, Qwen, Gemma), inspect embeddings, and deploy LLM-backed applications with full repository context. -
Data Scientists & ML Engineers
Explore datasets, clean and visualize data, prototype models, debug training loops, and iterate on experiments directly from VS Code. -
Applied AI Builders & PMs
Compare models, prototype AI features, and validate feasibility using real code and data—not just prompts.
See Neo debug a training loop, explore a dataset, and build an LLM workflow inside VS Code.
Get Started with Neo
Install the VS Code extension and run your first task with Neo in under 5 minutes.
Learn how Neo reasons over your code, data, and experiments.
Agent building, LLM apps, ML pipelines, and developer workflows—with links to project examples.
Limits, pricing, privacy, and common troubleshooting questions.