Bitrise is developing a sandboxed AI agent to enhance productivity and user experience by leveraging their comprehensive tech stack, which includes networking gear, physical Mac and Linux machines, and ephemeral virtual machines. This AI agent, running on Bitrise Build Cloud, surpasses their previous AI Assistant by having access to both customer source code and developer tools, allowing for iterative code changes and testing. The new agent, designed to operate independently of engineer intervention, uses a pre-defined allowlist for tools, simplifying its functionality. Bitrise's approach to AI development includes integrating performance measurement and optimizing the AI agent for various LLM providers like Anthropic, OpenAI, and Gemini, with a focus on prompt caching to prevent performance degradation and reduce costs. Additionally, they have implemented session persistence and context summarization to manage the context window limit, while features like runtime and token usage limitations, analytics reporting, and logging integration further enhance the AI agent's capabilities. Bitrise plans to conclude their series by discussing the scaling of AI feature development across their R&D organization.