The text discusses the challenges of developing software with AI and proposes three core development loops: Exploration, Evaluation, and Data Collection. The Exploration loop enables rapid iteration by quickly testing changes in a low-stakes environment, while the Evaluation loop provides high certainty about the impact of a change through automated testing and scoring. The Data Collection loop builds high-quality datasets for testing by identifying patterns and interesting results in production logs and capturing inputs to generate signal in the other two loops. Braintrust provides tools that support these three loops, enabling fast and reliable development with AI.