The company announced the open-sourcing of "Teamfuse," an AI orchestration setup where five Claude Code agents (PM, eng, QA, marketing, analyst) coordinate over a messaging layer similar to Slack. This approach aims to mimic real-world team collaboration, contrasting with traditional monolithic or pipeline-based AI frameworks.
An AI system called ECHO was developed to transform Slack chaos into a living Knowledge Graph, addressing team forgetfulness. It uses LLMs for entity extraction, builds relationships into a graph, and applies temporal decay to maintain the relevance of team expertise.
The author discusses a failed attempt to integrate AI agents into project backlog management by treating them as just another resource with capacity. This approach, focused on "who's free," led to issues when agents took tasks requiring human-level scoping, prompting a shift to sorting by task "shape."
The title highlights a common problem in incident debugging, where valuable knowledge gets stuck in communication channels like Slack and isn't shared across teams. It suggests that this intelligence never reaches other teams, limiting organizational learning.