Neo is an autonomous machine learning assistant designed to handle the repetitive heavy lifting of model development and pipeline management for data scientists and AI developers. Rather than just offering code suggestions, the platform operates as a system of agents that can independently run experiments, fine-tune models, and construct RAG pipelines. It integrates directly into VS Code and Cursor, allowing users to delegate technical chores—like debugging a training sequence or testing prompt variations—through a conversational interface. By utilizing a sandbox environment with GPU access, the tool executes hundreds of iterative tests to identify the best-performing models and configurations. It bridges the gap between raw data and production-ready systems by automating the evaluation and optimization phases that typically consume hours of…
Tags: ai agent, code assistant, developer tools, experiments, prompts