The Silent Rewrite of Software Engineering
The ground beneath software engineering is shifting, and the teams moving fastest aren’t rejecting LLMs, they’re weaponising them.
I've been coding long enough to watch a few industry earthquakes crack open the floor under us. Every time a big shift arrived, the reaction pattern was identical. First came the jokes. Then the eye-rolling. Then the confident lectures about how the new wave was for beginners who didn't understand the craft. I heard it when cloud started overpowering on-prem, when mobile apps overtook web-first thinking, and when SQL purists dismissed NoSQL as a toy.
But underneath the noise, the same thing always happened: the people who adapted early outran everyone else. I've seen entire stacks rise and fall on this pattern. PHP ruled the web until it didn't. Ruby on Rails arrived like a rocket and faded just as quickly. Swift replaced Objective C almost overnight. Xamarin and Cordova spent years trying to stay relevant until Flutter finally pushed them off the map.
And now, LLMs are doing what every major disruption does-they're quietly rewriting the rules while the skeptics are still arguing.
The Rewrite You Don't See Coming
LLMs aren't here just to spit out code snippets. That's the smallest part of the story. The real shift lives further upstream.
For the first time, a tool can sit at the idea stage and pull clarity out of chaos. You drop in a rough business idea, and it shapes requirements. It outlines constraints. It proposes architectures. It exposes edge cases you didn't think of. It produces scaffolds while a traditional team is still naming the repo.
This isn't automation. It's acceleration at the conceptual layer.
I felt this hitting me while building product after product. The biggest drag on speed was never writing code. It was everything around it: the research, the boilerplate, the iteration on unclear requirements, the back-and-forth between architecture choices, the debugging loops that devoured hours of flow.
LLMs chop those delays into pieces.
And leadership sees it. They're measuring cycle time, cost per feature, complexity per engineer, and the speed of exploration. A tool that cuts the thinking-to-shipping gap by even 30 percent isn't optional at the top. It's inevitable.
The Part Everyone Underestimates
There's a dangerous belief floating around that experience creates immunity. I've had that instinct too. You tell yourself you've survived earlier waves, so this one will be no different.
It is different.
You're not competing against the model. You're competing against the engineer who knows how to use it. That engineer explores 10 architectural paths in the time you explore two. They debug twice as fast. They document without burning hours. They learn new stacks in afternoons instead of weeks. They generate tests before you finish reading the ticket.
A junior with an LLM becomes mid-level. A mid-level becomes senior. A senior becomes a one-person team. That shift compounds. And compounding doesn't pause for anyone.
We have watched this happen during the cloud transition. Engineers who dismissed AWS as "sloppy infrastructure" were technically right on day one and hopelessly wrong by year five. Their skills didn't decline. The industry simply ran ahead of them. This is the same movie. The runtime is just shorter.
Look at what happened after ChatGPT launched. S&P 500 performance kept climbing, but total job openings started dipping hard. Markets were saying “work can be done faster,” while hiring slowed because companies suddenly had leverage. Productivity was going up without adding more people. That divergence isn’t an accident. It’s the first visible economic footprint of LLM‑driven efficiency. A preview of how industries adapt long before individuals accept the shift.

The Only Real Decision Left
You can wave this off as hype. You can insist the craft shouldn't change. You can keep typing everything by hand while the rest of the field starts moving at a different speed.
Or you can let LLMs live inside every part of your pipeline:
- shaping requirements before they hit Jira
- stress-testing architecture choices
- accelerating debugging
- refactoring without fear
- generating tests at scale
- removing the cognitive load that usually slows experienced engineers
These tools won't give you taste. They won't replace instinct. They won't decide what your product should become. But they'll amplify whatever thinking you already have-and punish anyone who refuses to adapt. And that's the real rewrite happening under our feet. Teams are building internal copilots quietly. Founders are restructuring workflows. Startups are turning small teams into high-velocity machines. The shift isn't loud. It isn't announced. It's happening in the background, line by line, commit by commit. The silent rewrite of software engineering is already underway.
If you want to stay in the story, you move with it.