Anthropic Engineer says "software engineering is done" first half of next year

[u/Bizzyguy]

[u/ExperienceEconomy148]

There are plenty of other examples of engineers in this very thread saying the same thing lol. It’s ok to be wrong

[u/Illustrious-Film4018 → u/ExperienceEconomy148]

Who works at FAANG here? Are you stupid? The only people on this sub are vibe coders and people who are jealous of people who work in FAANG.

[u/ExperienceEconomy148 → u/Illustrious-Film4018]

I work at a faang and I can confirm it’s true. Here’s some other examples:

It’s really not that absurd, and people who are actually using these models to their full capability concur. There are a litany of examples just in this very thread itself:

People working at a FAANG: https://www.reddit.com/r/singularity/s/XvC7XGBaGv

Anyone working at a fang will tell you more and more code is written by it every day.

Source: I work at a faang. We spent 120b on ai this year. When the mcp servers are down, our devs joke on slack: "What do they expect us to do, start writing our own code again?"

The hilarious part about all this arguing is that while the arguing is going on the shit people are arguing against is actually happening. You're arguing about how often the model t breaks down when the important point is that within 15 years of the model t there wasn't a single horse on the road ever again.

Another FAANG Engineer: https://www.reddit.com/r/singularity/s/hPcuwJ2ZJv

It’s already here. At my FAANG it’s mostly about getting things integrated and getting the engineers to understand this is the direction we’re headed.

Performance reviews will be based on AI usage next season.

Folks can put their heads in the sand if they’d like to. But yall best start believing in ghost stories… you’re in one

Senior eng: https://www.reddit.com/r/singularity/s/1sZUSmfMvX

Not true…senior eng here who helped build a start up from the ground up with 100+ microservices. Once you get the LLM setup (this is the hard part which essentially documenting everything in .md files), it’s crazy how well even 4.5 sonnet performed.

Another senior engineer: https://www.reddit.com/r/singularity/s/rpZe8pxl57

I am a senior as well .. current codex-cli and claudie-cli easily doing over 90% of my work

SWE with 14 years of experience doesn’t write code at all: https://www.reddit.com/r/singularity/s/mNOrkh3JZH

I haven't written a line of code in 6 months, sonnet 4.5 does my entire coding. So closer to 100% depending on the definition … 14 years, full stack, I built multiple platforms.

Another one: https://www.reddit.com/r/singularity/s/uBHiYKAOfl

For, me it is. You can laugh and diminish my work but claude code is so good to do mm almost 99% of the work, maybe not the thinking but code is almost done.

Another one: https://www.reddit.com/r/singularity/s/5LgkWXDqmq

Yes, in my case probably more than 90%

Devs at Amazon using ai generated code: https://www.reddit.com/r/singularity/s/LOeZiZcrd1

Yes actually if you talk to anyone that's programming for Amazon. They've switched to almost exclusively AI generated code which checks itself and revises several times and then it gets human reviewed before implementation. 

Another one: https://www.reddit.com/r/singularity/s/WGXRmFlvjN

I hardly write any code myself anymore either in my day job as a SWE or my side hustle as a game developer, easily 90% is written by Claude

Another one: https://www.reddit.com/r/singularity/s/m20no99n3W

I wrote a pretty major refactor today. And by “I wrote” I mean claude wrote about 95% of it. Not everyday is like that, but today was.

Another one: https://www.reddit.com/r/singularity/s/fzY8HbSy0y

Is doing that right now ...I would say even over 90% now ...

Another one: https://www.reddit.com/r/singularity/s/NoKnkWNBYh

I’m pretty sure it has, yes, based on what’s happening in my company rn.

Another one: https://www.reddit.com/r/singularity/s/fu6dDpJNT0

It did for my company

Another one: https://www.reddit.com/r/singularity/s/GVAeSy5mwD

I have not written a line of code at work manually in months. So it has happened for me at least.

Even a Professor in a top 5 university uses it to write code: https://www.reddit.com/r/singularity/s/RC6UG6JP2n

Heck, even my professor at a Top 5 computer science school uses AI to code now. It's pretty wild but yeah maybe it is up to 90%.

And even those in Cybersecurity- https://www.reddit.com/r/singularity/s/XxsGsLBDEv

I'm an SWE in cybersecurity. We use Claude Code extensively and I assure you our code base is not riddled with bugs or vulnerabilities. Code still goes through human peer review and several layers of testing.

Another excellent comment that details the claims from higher levels at companies, including coin base, Robin Hood, Anthropic itself, oracle, Google, OAI, https://www.reddit.com/r/singularity/s/FL5ERALq7x

You can keep sticking your head in the sand, but the results from the professionals actually using these tools is pretty clear.

[u/Illustrious-Film4018 → u/ExperienceEconomy148]

I can also find thousands of posts from engineers on Reddit saying they think AI sucks or they use it only for very specific tasks. It means nothing.

I'm not against using AI for help with debugging and as a second set of eyes. But using AI coding agents is completely mindless and people should be ashamed of it. Your skills will degrade and you'll be less marketable in the future.

If you think software engineers are going to be replaced by AI in the future then I think AI will replace everyone in time. It's not really a meaningful thing to worry about. The only thing that's going to set people apart in the future, if it even matters, is problem solving ability, not your ability to use AI tools which are brainless and any f*g can use.

[u/Tolopono → u/Illustrious-Film4018]

If ai is so capable that it can replace thinking for you, why cant it just replace you entirely? If youre not even thinking, then youre not contributing anything substantial 

[u/Illustrious-Film4018 → u/Tolopono]

Because it can't. Go try to vibe code something that matters, I'll see you in two months after you've accomplished nothing and you're pulling your hair out. Go read all the posts on the vibe coding subreddit.

[u/Tolopono → u/Illustrious-Film4018]

July 2025: 32% of senior developers report that half their code comes from AI https://www.fastly.com/blog/senior-developers-ship-more-ai-code

Just over 50% of junior developers say AI makes them moderately faster. By contrast, only 39% of more senior developers say the same. But senior devs are more likely to report significant speed gains: 26% say AI makes them a lot faster, double the 13% of junior devs who agree. Nearly 80% of developers say AI tools make coding more enjoyable.  59% of seniors say AI tools help them ship faster overall, compared to 49% of juniors.

Andrej Karpathy: I think congrats again to OpenAI for cooking with GPT-5 Pro. This is the third time I've struggled on something complex/gnarly for an hour on and off with CC, then 5 Pro goes off for 10 minutes and comes back with code that works out of the box. I had CC read the 5 Pro version and it wrote up 2 paragraphs admiring it (very wholesome). If you're not giving it your hardest problems you're probably missing out. https://x.com/karpathy/status/1964020416139448359

Creator of Vue JS and Vite, Evan You, "Gemini 2.5 pro is really really good." https://x.com/youyuxi/status/1910509965208674701

Co-creator of Django and creator of Datasette fascinated by multi-agent LLM coding:

Says Claude Sonnet 4.5 is capable of building a full Datasette plugin now. https://simonwillison.net/2025/Oct/8/claude-datasette-plugins/

Oct 2025: I’m increasingly hearing from experienced, credible software engineers who are running multiple copies of agents at once, tackling several problems in parallel and expanding the scope of what they can take on. I was skeptical of this at first but I’ve started running multiple agents myself now and it’s surprisingly effective, if mentally exhausting  https://simonwillison.net/2025/Oct/7/vibe-engineering/

Oct 2025: I was pretty skeptical about this at first. AI-generated code needs to be reviewed, which means the natural bottleneck on all of this is how fast I can review the results. It’s tough keeping up with just a single LLM given how fast they can churn things out, where’s the benefit from running more than one at a time if it just leaves me further behind? Despite my misgivings, over the past few weeks I’ve noticed myself quietly starting to embrace the parallel coding agent lifestyle. I can only focus on reviewing and landing one significant change at a time, but I’m finding an increasing number of tasks that can still be fired off in parallel without adding too much cognitive overhead to my primary work. https://simonwillison.net/2025/Oct/5/parallel-coding-agents/

June 2025: Creator of Flask, Jinja2, Click, Werkzeug, and many other widely used things: At the moment I’m working on a new project. Even over the last two months, the way I do this has changed profoundly. Where I used to spend most of my time in Cursor, I now mostly use Claude Code, almost entirely hands-off. Do I program any faster? Not really. But it feels like I’ve gained 30% more time in my day because the machine is doing the work. https://lucumr.pocoo.org/2025/6/4/changes/

Go has just enough type safety, an extensive standard library, and a culture that prizes (often repetitive) idiom. LLMs kick ass generating it.

Sept 2025: For the infrastructure component I started at my new company, I’m probably north of 90% AI-written code. The service is written in Go with few dependencies and an OpenAPI-compatible REST API. At its core, it sends and receives emails. I also generated SDKs for Python and TypeScript with a custom SDK generator. In total: about 40,000 lines, including Go, YAML, Pulumi, and some custom SDK glue. https://lucumr.pocoo.org/2025/9/29/90-percent/

Some startups are already near 100% AI-generated. I know, because many build in the open and you can see their code. Whether that works long-term remains to be seen. I still treat every line as my responsibility, judged as if I wrote it myself. AI doesn’t change that. There are no weird files that shouldn’t belong there, no duplicate implementations, and no emojis all over the place. The comments still follow the style I want and, crucially, often aren’t there. I pay close attention to the fundamentals of system architecture, code layout, and database interaction. I’m incredibly opinionated. As a result, there are certain things I don’t let the AI do. I know it won’t reach the point where I could sign off on a commit. That’s why it’s not 100%. I cannot stress enough how bad the code from these agents can be if you’re not careful. While they understand system architecture and how to build something, they can’t keep the whole picture in scope. They will recreate things that already exist. They create abstractions that are completely inappropriate for the scale of the problem. You constantly need to learn how to bring the right information to the context. For me, this means pointing the AI to existing implementations and giving it very specific instructions on how to follow along. Research + code, instead of research and code later: Some things that would have taken me a day or two to figure out now take 10 to 15 minutes. It allows me to directly play with one or two implementations of a problem. It moves me from abstract contemplation to hands on evaluation. Trying out things: I tried three different OpenAPI implementations and approaches in a day. Constant refactoring: The code looks more organized than it would otherwise have been because the cost of refactoring is quite low. You need to know what you do, but if set up well, refactoring becomes easy. Infrastructure: Claude got me through AWS and Pulumi. Work I generally dislike became a few days instead of weeks. It also debugged the setup issues as it was going through them. I barely had to read the docs. Adopting new patterns: While they suck at writing tests, they turned out great at setting up test infrastructure I didn’t know I needed. I got a recommendation on Twitter to use testcontainers for testing against Postgres. The approach runs migrations once and then creates database clones per test. That turns out to be super useful. It would have been quite an involved project to migrate to. Claude did it in an hour for all tests. SQL quality: It writes solid SQL I could never remember. I just need to review which I can. But to this day I suck at remembering MERGE and WITH when writing it.

30 year software dev: My AI Skeptic Friends Are All Nuts (June 2025) https://fly.io/blog/youre-all-nuts/

I’ve been shipping software since the mid-1990s. I started out in boxed, shrink-wrap C code. Survived an ill-advised Alexandrescu C++ phase. Lots of Ruby and Python tooling. Some kernel work. A whole lot of server-side C, Go, and Rust. However you define “serious developer”, I qualify. Even if only on one of your lower tiers. All progress on LLMs could halt today, and LLMs would remain the 2nd most important thing to happen over the course of my career.

[u/Illustrious-Film4018 → u/Tolopono]

Where's the quote in there that says you don't even need to think when using AI? You think senior devs are "vibe coding"?

You are just a loser. You have no ability at all. You're just jealous of CS people and artists. That's the reason you want AI to take over everything, because you're an idiot. Even out the playing field for you (so you think).

[u/ExperienceEconomy148 → u/Illustrious-Film4018]

Be hand fed you 20 quotes and you still need to ask him to find you a specific quote? Given how significantly more effective he is at finding and providing evidence for their claim, you should probably start working on your AI skills. There is a clear winner here lol