This is such an important discussion about the difference between intelligence and understanding. A coding agent can generate impressive solutions, but without remembering why certain decisions were made, it can easily repeat the same mistakes or reopen problems that humans have already solved. The real challenge with AI collaboration is not only making agents better at writing code, but helping them preserve the context, trade-offs, and lessons behind those decisions. In software development, the “why” is often just as valuable as the code itself. I think the future of AI-assisted development will depend less on replacing developers and more on creating AI partners that can learn from a team’s history, respect previous decisions, and understand the reasoning behind a system’s evolution. Great reminder that true collaboration requires memory, context, and trust, not just faster code generation.