Software development is a complex interplay between various elements, where senior developers succeed by retaining context. Modern AI, while pattern-recognizing, lacks continuity without memory. Instead of complex systems like vector databases, a straightforward Memory File System with structured Markdown files can better serve software development, allowing AI to remember key details such as codebases, architectural decisions, and documentation. Integrating AI with tools like GitHub and Jira enhances its relevance. By systematically reading, working, and updating memory, the AI can evolve into a knowledgeable collaborator over time, becoming an invaluable team member that never forgets and understands the project deeply.