Pablo, a six‑year software developer, says the rise of generative AI has forced a wholesale rethink of how coders work. He describes the transition as a clear before‑and‑after moment, where adaptation isn’t optional but the only path to stay productive in today’s fast‑moving development environment across teams.

Earlier he followed a linear routine: sketch an idea, jot a brief spec, outline a design, then launch `npx create‑react‑app` and start coding. Quality relied on layers of testing—unit, integration, functional—and on Test Driven Development to keep bugs in check, but the process ate valuable time and refactoring.

Now his workflow pivots to definition → context → conversation → refinement. He treats the AI as a second brain, feeding a detailed document, crafting prompts, iterating on generated code, and inserting tests before acceptance. While human review remains essential, the speed of exploring alternatives reshapes decision‑making and sets a new productivity baseline for future projects.