Hi,
It September and I see more and more veterans losing their jobs. More juniors changing their title on LinkedIn from junior to lead. Leading what? A bunch of Agents with subscriptions? That not leadership if you are the only human in the team.
So recently I joined a company as part-time consultant because I believed a long term Ruby dev was still with them. They contacted me. I did not warn my friend because I wanted to show up as a surprise. Turn out he was let go in February.
But that not the big red flag.
The biggest red flag was that this company created a new project to upgrade from Rails 8.0 to Rails 8.2. The project is 6 months old and has 102k commits. More than rails/rails.
5 people with agents hitting the keyboard like primitive apes.
The Rails application was massive, over 400 controllers. Rails, but some engines were built in Sinatra. 2 databases, MySQL and PostgreSQL. They moved from MySQL to PG and left their 2000$ instance with old data, and it still has auth data from 2025. You can login with your actual password, or the password you set in 2025 (forever).
I spent 3 days with them, then I said that I cannot continue.
Why ? Because everything was slop. Anything you touch will break.
Some parts of the code were monkey patches of my own gems because the agents didn't read the documentation. The feature already exists, the agent was just not smart enough to find it.
That was a funny moment. Imagine maintaining a gem for years, then joining a company and discovering an AI wrote a monkey patch around your own code because nobody bothered to read the documentation. They also have 3 pagination gem, pagy, will_paginate and kaminari.
Every commit had Claude, Codex, DeepSeek, Kimi, or Antigravity.
Over 800k lines of Ruby and every comment explains to you the origin of Ruby or Rails.
"Rails 8.2 deprecated X, use this."
Im like BRO, we are in Rails 8.2. Why is this shit in the codebase ? Who is this comment even for ?
The codebase reads like 20 different developers with 20 different opinions worked on it, except most of those developers are models and none of them remember what the previous one decided. The senior operators (the humans), are taking bullshit Javascript libraries and converting them to ruby and pushing them to rubygems.
And not only that…
This company is handling medical records for a European country.
All data was accessible to everyone. Most of the other devs have less than 2 years in Ruby. They don't know the ecosystem. They changed established patterns to use ReactJS. Not even react-on-rails, they just use React with npm and created another ecosystem inside the application because apparently one ecosystem was not enough. Everyone is using whatever model they want, and the models have full access to those data.
Not only that, they hooked the platform to send webhooks to Slack, with full data.
Some of the "doctors" responding to users are just Claude or recently Gemini or that free model that openrouter said "It free, but we collecting all info"
At this point the problem is not whether Claude writes better Ruby than a junior. The problem is that nobody knows where the data goes anymore , why half the code exists, and why they keep code in the code base wrapped with `if 0`
And nobody has enough time to understand it because the agents are generating more code faster than humans can review it.
I'm not naming the company for now, but this post is a landmark i will update when everything blow up.
Also my point is that the fallout of AI-powered development is going to be big.
We spent decades trying to make software simpler. DRY, conventions, simple code, small interfaces, reusable libraries, documentation.
Then we gave developers a machine capable of generating 10000 lines per day.
102k commits in 6 months is not productivity or embracing Agentic work.
Even if you pay me thousands per day, it not fixable anymore in the normal sense. Nobody had an idea what the project was doing.
All documentation is in MD files generated alongside the code, and those files go outdated the second another agent decides to “refactor” something.
Their onboarding rules were that i use AI to read those MD files.
Before AI, when I joined a project I normally found one type of problems.
Performance problems. Bad library choices or database design. Wrong patterns. Technical debt.
Nowadays I find all of them at once. And the real management is always busy with Real life shit, or trying to install the new model that is out today.
When I saw this one, I didnt even bother telling them all the flaws. There were so many that making the list would just create another 20000 lines of Markdown for Claude to summarize.
I will update this thread with the name of the company if things blow up in the future.