Using AI tools like GitHub Copilot can enhance productivity, but it requires a skill set to effectively integrate them into your programming process.

Initially, we attempted to create a co-pilot for mechanical engineering, but we pivoted to focus on coding because we were more passionate about it and recognized the potential for AI to transform programming.

We're open sourcing GitHub Copilot in VS Code, integrating AI-powered capabilities directly into the core of VS Code.

The GitHub Copilot project began as a search for a problem to solve, leading to the simple idea of autocomplete after many failed attempts.

Developers are experiencing a different reality with AI tools like GitHub Copilot, which significantly boosts their productivity.

AI tools like GitHub Copilot make software development more accessible and significantly increase developer productivity by reducing the time needed to implement ideas.

We quickly improved our training infrastructure and trained our own models, which allowed us to pull ahead in terms of quality and capabilities compared to GitHub Copilot.

As AI models become more powerful, the competition will favor those who create the best user experiences, allowing new entrants like Cursor to challenge established players like GitHub Copilot.

We created AI Foundry to help people build their own AIs, providing the necessary tooling and expertise to turn their ideas into AI services.