Experience in Linux systems, networking, programming. Here to make secure, private AI coding environments the default.

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Ethan Ludwig  • Peerlist

<h3>A hands-on AI coding trainer designed to improve developer understanding and retention.</h3><ul><li>Learn on your own codebase: CodeTrain teaches developers using their actual project code, ensuring they understand the specific patterns, standards, and nuances of their work.</li><li>Hands-on learning: Developers type every line of code themselves, with an AI tutor providing guidance, nudges, and running tests, rather than simply providing solutions.</li><li>Local-first approach: The AI agent runs on the developer's machine, keeping code local and private. For enhanced security, users can bring their own API keys for AI models, ensuring data never leaves their environment.</li><li>Combats skill atrophy: Addresses the erosion of understanding caused by AI code generation by focusing on active learning and comprehension.</li><li>Efficient onboarding: Standardizes the onboarding process for new hires, allowing them to ramp up on a real codebase in weeks, not months, without consuming senior developer time.</li><li>Progress tracking: Features a local profile to track learning progress, streaks, and recurring knowledge gaps, with spaced repetition to reinforce learning.</li><li>Team features: Offers team dashboards to monitor progress, central billing, and enterprise options like SSO/SCIM and self-hosting for standardized team development and measurable understanding.</li><li>Flexible modes: Supports both 'Repo mode' for working on real branches and 'Sandbox mode' for practice without affecting live code.</li></ul>