Dropbox uses Cursor to index over 550,000 files and build an AI-native SDLC

Dropbox has successfully integrated AI tools into its software development lifecycle, significantly enhancing the speed and efficiency of its engineering processes. With over one million lines of AI-suggested code accepted monthly through the AI tool Cursor, the company has achieved 90% adoption among its engineers, who now benefit from a faster and more efficient workflow. The initiative, led by CTO Ali Dasdan, involved creating a supportive environment for AI adoption by promoting organic growth and removing barriers to tool access. This widespread adoption was further accelerated by a company-wide hackathon, where Dasdan experienced firsthand the time-saving advantages of AI tools. The key to this success was the indexing of Dropbox's extensive monorepo, allowing Cursor to understand and navigate the codebase effectively. Consequently, Dropbox has seen measurable improvements in engineering performance, aligning with its goal of embedding AI to maintain competitive velocity.