TL;DR: GPT‑5.5 and Google’s Remy just pushed us from “AI that replies” to “AI that runs workflows.” If you’re still shipping simple wrappers around LLMs, you’re already behind. The game now is designing agentic systems that can plan, act, and be governed safely in production. The last 10 days felt like a year. If you blinked, you probably missed the most aggressive pivot in software since “let’s put everything in the cloud”: the Agentic Era. This is my breakdown of what actually matters for devs—and how to stay relevant. 1. The Death of the “Prompt–Response” Loop We used to be happy when an LLM returned a nice block of code. Now GPT‑5.5 and Google’s Remy are showing something different: agentic workflows that plan, call tools, and iterate until a goal is done. A chatbot waits for you. An agent plans for you. A chatbot answers “ How do I build a CRUD API? ” An agent creates the repo, scaffolds the API, runs tests, and deploys to your staging environment.…