The author introduces AgentLogs, a new platform designed to enhance collaboration among software teams using AI coding agents. As traditional software development processes struggle to keep pace with the rapid changes brought by AI tools, the article highlights significant challenges, like the overwhelming volume of submissions and declining quality in open-source contributions. The author argues that GitHub is becoming increasingly unreliable and may not be sustainable for the future of software development. AgentLogs aims to address these issues by providing a collaborative space that integrates multiple AI coding agents. The platform allows teams to track how members interact with these agents, linking their activities back to relevant git commits. This ensures that teams retain essential context for their projects. Initially planned as a cloud solution, the author recognized the security risks associated with storing potentially sensitive agent sessions online. Consequently, they decided to open-source AgentLogs, allowing teams to host it on their own infrastructure while also encouraging the development of additional integrations for various coding agents. The article reflects a personal journey with AI agents, detailing the author’s experiences and the evolution of their thinking about software collaboration. They emphasize the need for a shift from traditional coding practices to a new model focused on prompts and specifications. As teams increasingly adopt multiple coding agents, the platform's flexibility and openness are positioned as key advantages. The author invites feedback and engagement from the community to refine AgentLogs further, signaling a desire for collaborative development in this rapidly changing landscape.