๐๐ผ๐ป'๐ ๐๐ฒ๐ฎ๐ฟ๐ป ๐ง๐ผ ๐๐ผ๐ฑ๐ฒ ๐๐ ๐ง๐ต๐ฒ ๐ช๐ผ๐ฟ๐๐ ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐๐ฑ๐๐ถ๐ฐ๐ฒ ๐ข๐ณ ๐ฎ๐ฌ๐ฎ๐ฒ
Stop listening to the headlines.
You see them everywhere. People say AI will replace software engineers. They ask if coding is dead. Most of these people do not actually write code for a living.
I am an engineer. I use AI coding agents every single day. They write code, run tests, and open reviews for most of my working hours.
People ask if you should still learn to code in 2026.
The answer is yes. But the job has changed.
AI handles the boring parts. It writes boilerplate code. It creates first drafts. It handles syntax recall and tedious refactors. If your idea of coding is just typing syntax, then yes, AI is taking that job.
But AI misses the most important parts of engineering:
โข Deciding what to build. AI will build the wrong thing very quickly. You must decide what is worth building. โข Judgment. AI gives answers. It does not have opinions. You must decide if a solution is simple or if it will break later. โข Debugging. When a system fails for a complex reason, AI fails too. You need to understand the underlying system to fix it. โข Verification. AI produces plausible code. Plausible code can be wrong. You must read every line to catch mistakes.
The tool did not remove the need for expertise. It moved the goalposts.
I spend less time writing code and more time reading and directing it. My skills now focus on:
โข Reading code fast and critically. โข Engineering the right context and constraints for the agent. โข System thinking and architecture. โข Developing a verification instinct.
You cannot direct or fix what you do not understand. AI did not lower the bar. It raised it.
If you want to learn to code today, do this:
- Learn fundamentals like data structures and system design. AI gives you syntax for free. It cannot give you judgment.
- Learn to read code. Practice reviewing pull requests. This is a vital skill.
- Use agents as partners, not crutches. Let them draft, but you must verify.
- Be precise. Learn to give clear specs and constraints.
AI did not kill programming. It made typing cheap and made thinking expensive.
The winners will be the people who understand code deeply enough to correct a machine that is often confidently wrong.
Source: https://dev.to/anusha_mukka/dont-learn-to-code-is-the-worst-career-advice-of-2026-k4l