hami argues that we’re entering a completely new era of software development—one where AI doesn’t just assist with small tasks, but actually writes the bulk of code itself. Instead of programmers typing out every single line, developers will increasingly communicate with LLMs in natural language: describe what they want, get working code, and then refine through conversation and feedback.
In this shifting paradigm, the role of a “programmer” is transforming. Rather than writing boilerplate or getting stuck in syntax, developers will become more like architects and supervisors. Their job will be to guide AI, define high-level goals, review and test output, and make sure generated code aligns with product requirements and design vision.
Chami also points out why this matters to everyone, not just seasoned developers. Even beginners, non-technical founders, or hobbyists will be able to build functional software just by expressing ideas — lowering the barrier to entry significantly. This democratization means more people can participate in building tech, even without deeply learning a programming language.
Finally, she emphasizes how to prepare: learn to work with AI rather than compete against it. Developing skills like problem-structuring, prompt-engineering, code reviewing, and testing will become more valuable than memorizing syntax. By embracing this change, you can stay relevant in the next wave of programming.
