It changes my whole profession on a level i couldn't even imagine how we would 'solve' software engineering.
It changes my whole profession on a level i couldn't even imagine how we would 'solve' software engineering.
My wife has 0 knowledge how any of this works.
That was shocking to see.
Progress is not stoping and Fable proves that.
I was working in a company before which used md5 in 2015! Databases on the internet with a 5 character password. No tests.
A person i know would have broken the whole production DB if i wouldn't have stoped the PR.
Another ex-collegue thought its okay to 'encrypt' with a basic shift cyper creditcard data.
I don't think any of these companies care that much
Indeed. Is Mythos going to change this?
And on the other side: yes because they will also use LLM review or other tooling and will be fine whatever the 'security llm agent' tells them.
Before gen code killed the freelance business model, there were hoards of people on Upwork/Fiverr willing to fuck other freelancers over and underpay themselves to make whatever barely-working slop you wanted.
Hell, before managers got the idea of AI layoffs, they had been off-shoring to low-quality code sweatshops for years. That was supposed to kill software engineering in the States 20 years ago. And it was just as frustrating (if not moreso) to get them to actually fulfill the project requirements.
It's true that they can start amazing projects without guidance but then the real work begins.
Keep in mind, these are not products in the endless feature treadmill promoted by scrum.
- A mod manager for Vintage Story in Swift.
- A GameShark Pro adapter using an ESP32 that hosts a web app for dumping N64 ROMs and searching for cheat codes.
I assure, it doesn't.
Before GPT what would have been your choise of architecture, setup, alogorithm if someone comes to you and says "write a tool/system which can generate code" "what do you mean generate code? How do i control it?" "by writing what you want in natural language" "puh 50 years of development, 100 billion, top tier team of linguists and software engineers perhaps?"
Ask StackOverflow if they think it didn't change anything for them.
If you do this with COBOL or Python, at least you get consistent operation and errors when you're wrong. If you do this with any LLM, consistency is dropped in favor of obsequiousness.
The base problem is that people aren't equipped naturally to think about all the details of their problems.
But doesn't matter anymore if you just add things.
It’s mind-boggling that anyone could deny this in mid-2026. Virtually every software engineer I know is no longer writing the majority of their code. Many are not writing any code, myself included. And I’m a staff engineer with 20 yoe, formerly at big tech, and now building a (profitable) SaaS of my own. The way I work is wildly different from a year ago.
And no one is going back.
The most prevalent trend I see around me today is that people are going back to using the LLMs as research, review, and sketching tools, but writing most actual code themselves again. And it's not just AI skeptics doing that, it's those who went all-in and are finally seeing the downsides and limitations of this technology, now that the hype is waning.
https://www.reddit.com/r/ChatGPT/comments/1hxa3kj/ai_reached...
You can copy paste it in reply if you want
The quote from Gemini is: "one reddit user says kill yourself"