AI in software development has evolved through stages of increasing autonomy and capability, yet it has consistently lacked memory and continuity, which are crucial for ensuring code quality and consistency. As AI tools like coding assistants become more prevalent, with 82% of developers using them regularly, a significant trust gap remains because these tools often miss critical context and fail to align with organizational standards. The concept of a "second brain" is proposed as the next evolutionary step, wherein AI systems can capture, store, and apply organizational knowledge and standards across coding and review processes, effectively transforming AI from a stateless generator to a stateful partner. This approach promises to enhance productivity and quality by ensuring that standards are consistently applied, facilitating cross-team alignment, and reducing dependency on senior engineers. The second brain not only improves individual productivity but reshapes how engineering organizations operate, embedding continuity, accountability, and governance into AI systems, thereby enabling them to sustain high-quality software development.