AI Workflow Automation for an Engineering Manager
The life of an engineering manager is a constant exercise in context switching. Between processing a flood of emails, keeping up with Slack channels, managing Jira tickets, reading Confluence pages, and preparing for one-on-one meetings with notes in OneNote, the mental overhead can be staggering. The core challenge isn’t just managing tasks; it’s about maintaining and retrieving context across a dozen different platforms, often in parallel.
Agentic Features for Codehub: Engineering Metrics Intelligence (part 2 of 2)
Enhancing Codehub application with agentic capabilities can transform it from a static reporting tool into an intelligent engineering insights platform that proactively helps teams improve their performance and productivity.
See also Agentic Features for Codehub: Engineering Metrics Intelligence (part 1 of 2)
Agentic Features for Codehub: Engineering Metrics Intelligence (part 1 of 2)
Integrating agentic features into Codehub app is an excellent way to enhance its value proposition, moving it from a data visualization tool to an intelligent assistant for engineers and managers. In this article I’m brainstorming (with AI) several agentic features, categorized by the problems they solve and the personas they target.