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About How Engineering Managers Can Track AI Agents & Know What's Actually Getting Done
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How Engineering Managers Can Track AI Agents & Know What's Actually Getting Done Are you an engineering manager struggling to make sense of AI-driven development? Watching terminals fly by but still unsure what's actually getting done? You're not alone — and in this video, we break down exactly how to fix that. We dive into the AI Progress Problem — why raw terminal logs are not progress reports, and how they actually hide the real story beneath a mountain of noise. Then we walk through how to transform that chaos into structured, evidence-backed narratives that engineering leaders can actually trust and act on. In this video, you'll learn: ✅ Why terminal output ≠real progress ✅ The 5 key parts of a manager-ready evidence story (task, files changed, tests run, audit results, docs updated) ✅ How to build an AI Engineering Control Plane for full oversight ✅ How to stop being a detective and start managing with confidence If you're leading engineering teams in the age of AI agents, this is the framework you need to stay in control — without drowning in logs or micromanaging every commit. 🔔 Subscribe for more content on AI engineering leadership, developer productivity, and managing AI-driven teams. #AIEngineering #EngineeringManager #AIAgents #DeveloperProductivity #TechLeadership
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