I\u2019m done writing code. <\/p>\n\n\n\n
In fact, I may not even be a \u201cprogrammer\u201d anymore\u2014at least not in the traditional sense.<\/p>\n\n\n\n
The software development landscape is shifting beneath our feet. Tools are evolving faster than companies can adopt them, and the line between writing code and orchestrating intelligent systems is blurring. These are exciting times, but also strange ones.<\/p>\n\n\n\n
Just the other day, I overheard a coworker proudly claim that AI wrote 99\u201399.9% of the code for their latest application. It wasn\u2019t a confession\u2014it was a flex. They were bragging. And while it struck me as a little odd at first, I realized they weren\u2019t wrong to be proud. The future is here, and it\u2019s writing code.<\/p>\n\n\n\n
We now live in a world where you can hold a conversation with artificial intelligence and, as a result, deploy a fully functional application. Not a prototype. Not a demo. A live, working product.<\/p>\n\n\n\n
These tools are improving weekly. Just two years ago, what we\u2019re seeing today felt like science fiction. Now, junior engineers are anxious about their job security, while others\u2014with barely a grasp of development\u2014are overconfident in their ability to build complex systems with a few prompts.<\/p>\n\n\n\n
Entire disciplines are being condensed into a single chat window. It\u2019s strange. But it\u2019s also powerful.<\/p>\n\n\n\n
I\u2019ll admit it: using these tools is a dream. I\u2019m accomplishing more in less time and solving problems faster than ever before. My workflow has never felt smoother.<\/p>\n\n\n\n
Right now, I\u2019m hooked on Cursor, though I still bounce between VS Code with GitHub Copilot, OpenAI\u2019s tools, and TypingMind. I\u2019ve tested Pythagora, glanced at Windsurf, and explored a variety of other platforms. I want to try everything, because each week brings something new\u2014and often impressive.<\/p>\n\n\n\n
But amid all this excitement, I feel the need to raise a flag of caution\u2014especially for new engineers, or those who suddenly feel like they can do anything with AI.<\/p>\n\n\n\n
Here\u2019s the thing: if you can\u2019t read the code being generated, you\u2019re heading into dangerous territory. It\u2019s easy\u2014almost too easy\u2014to generate massive amounts of code without understanding what it does. This leads to bloat, complexity, duplication, and eventually, confusion. When something breaks, you might not even know where to look.<\/p>\n\n\n\n
That\u2019s when the real problems begin.<\/p>\n\n\n\n
There\u2019s also a subtler issue: brain rot.<\/p>\n\n\n\n
Over-reliance on AI tools can stunt your growth. Just because you can build something quickly doesn\u2019t mean you understand how it works\u2014or how to fix it when things go wrong.<\/p>\n\n\n\n
A recent example from my own experience: my boss reached out in a panic about an \u201cexposed API endpoint.\u201d It sounded serious\u2014until I realized the endpoint was simply serving public content for a blog. The data wasn\u2019t sensitive, and the endpoint was meant to be public. But the terminology spooked people who didn\u2019t understand what they were seeing.<\/p>\n\n\n\n
This is a reminder: know your craft. Fill in the knowledge gaps. Being able to explain what\u2019s happening, what\u2019s at risk, and why it matters is part of being a great engineer. Don\u2019t let the tools do all the thinking for you.<\/p>\n\n\n\n
These days, I write a lot less code by hand. Instead, I\u2019m cherry-picking from AI-generated snippets. What started as a way to brainstorm solutions has evolved into a pipeline for production-ready code. And it\u2019s good code. Often better than what I would\u2019ve written myself.<\/p>\n\n\n\n
It\u2019s saving me time. It\u2019s making my job easier. And I love it.<\/p>\n\n\n\n
But I also worry\u2014about my relevance, about how my skills need to evolve, and about what it means to be a developer in a world where machines do most of the coding.<\/p>\n\n\n\n
Soon, anyone might be able to \u201ccode\u201d simply by describing what they want. Imagine passing an AI a URL and saying, \u201cBuild me a Google Maps-style component for the Locations page on my website,\u201d and watching it deliver the perfect result in under a minute.<\/p>\n\n\n\n
That future isn\u2019t far off.<\/p>\n\n\n\n
Perhaps it\u2019s time we retire the term \u201ccoder.\u201d Because in the not-so-distant future, very few people will write raw code anymore.<\/p>\n\n\n\n
Instead, we\u2019ll be curators, architects, communicators\u2014people who understand problems deeply and work with AI to solve them. We\u2019ll still need to know the fundamentals. We\u2019ll still need to understand the systems. But the nature of our work is evolving.<\/p>\n\n\n\n
And honestly? I\u2019m here for it.<\/p>\n\n\n\n
Just don\u2019t forget to keep learning. Because while the tools may change, the need for critical thinking, problem-solving, and understanding will always remain.<\/p>\n","protected":false},"excerpt":{"rendered":"
I\u2019m done writing code. In fact, I may not even be a \u201cprogrammer\u201d anymore\u2014at least not in the traditional sense. The software development landscape is shifting beneath our feet. Tools are evolving faster than companies can adopt them, and the line between writing code and orchestrating intelligent systems is blurring. These are exciting times, but… Read More »The End of \u201cCoding\u201d As We Knew It<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-84","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/metacaliber.com\/blog\/wp-json\/wp\/v2\/posts\/84","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/metacaliber.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/metacaliber.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/metacaliber.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/metacaliber.com\/blog\/wp-json\/wp\/v2\/comments?post=84"}],"version-history":[{"count":2,"href":"https:\/\/metacaliber.com\/blog\/wp-json\/wp\/v2\/posts\/84\/revisions"}],"predecessor-version":[{"id":100,"href":"https:\/\/metacaliber.com\/blog\/wp-json\/wp\/v2\/posts\/84\/revisions\/100"}],"wp:attachment":[{"href":"https:\/\/metacaliber.com\/blog\/wp-json\/wp\/v2\/media?parent=84"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metacaliber.com\/blog\/wp-json\/wp\/v2\/categories?post=84"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metacaliber.com\/blog\/wp-json\/wp\/v2\/tags?post=84"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}