
AI for Engineering managers: adapt now or trail behind
Remember when a five‑digit Stack Overflow score was a flex? Today that, and a vintage 2022 playbook will buy you precisely zero leverage. Yesterday’s job, tomorrow’s irrelevance Many Engineering managers still run on three rituals: Status ✨astrology✨ or endless forecasting of ticket constellations. Hours massaging burndown charts, Jira dashboards, stand‑up forecasts – cargo‑cult evidence that the sprint is “on track”. Stakeholder appeasement management: slide decks, project reviews, “quick syncs” to keep exec egos fed and legal teams comfy. People babysitting – counting story points, asking to update Jira, tolerance checks for burnout, sniffing out AI-powered overemployment. By the way, did you know of r/overemployed? However, none of those moves the product faster. Meanwhile, AI agents are quietly doing code reviews, generating boilerplate, even writing RFCs. The org chart hasn’t noticed – yet. ...

