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title: AI is removing the middle class of software engineering
description: Fast, agentic AI coding tools remove the natural speed limit that used to slow down bad engineering decisions, letting weak teams accumulate unreviewable...
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# AI is removing the middle class of software engineering

**[Hacker News](https://daily.dev/sources/hn)** · 8 min read · 0 upvotes · 0 comments

## Summary

Fast, agentic AI coding tools remove the natural speed limit that used to slow down bad engineering decisions, letting weak teams accumulate unreviewable complexity far faster than before. The author argues this widens the gap between engineers who can judge and verify AI output and those who can't, making good judgment (not implementation speed) the scarce and valuable skill, while bad engineers become expensive liabilities rather than cheap labor.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.florianherrengt.com/ai-removing-middle-class-software-engineering.html>

## Community take

How the wider developer community reacted, aggregated from 1 discussion and 182 comments across hackernews (as of 2026-08-12).

**TL;DR:** Discussion is split between people who think AI is genuinely hollowing out entry/mid-level jobs and shrinking the pipeline to seniority, and others who argue this echoes decades-old fears (offshoring, H-1Bs, outsourcing) and that backlogs/maintenance will always create work; a large side-thread devolves into a heated argument about H-1B visas and foreign labor.

**Sentiment:** 15% positive · 35% mixed · 50% skeptical

**The case for**

- Some argue AI mitigates bad developers by writing less sloppy, more consistent code than a weak human would produce.
- A few see this as 'nature healing' the industry, weeding out people who never cared about the craft and only wanted a paycheck.
- Some report success stories where careful process (coding standards, review pipelines) let a small team ship multiple AI-driven products effectively.

**The pushback**

- Many argue AI massively increases the 'blast radius' of bad engineers, letting them ship huge volumes of unreviewable, low-quality code far faster than before.
- Several say review/validation costs have exploded even as raw code-writing got cheaper, slowing real delivery despite more code being produced.
- Commenters worry the entry-to-senior pipeline is breaking down, threatening the supply of future senior engineers.
- Some report concrete harm already: exponential CPU/resource growth from careless AI-generated code (e.g. HTTP client churn, ffmpeg misuse).
- Skeptics note the promised 'trivial software' revolution hasn't produced visible flagship products yet, casting doubt on how transformative it really is.

**By community**

- hackernews (heated): The thread splits between genuine debate over AI's effect on engineering skill/jobs and a separate, more contentious argument about H-1B visas, offshoring, and immigration that dominates a large portion of the replies.

**Hottest debate:** Whether the job/career threat is really driven by AI itself or by older, unrelated factors like offshoring, H-1B visas, and interest-rate-driven hiring cycles.

**Open questions**

- Will companies still invest in training junior engineers if AI reduces the need for entry-level coding work, and what happens to the senior pipeline in 10-15 years?
- Can AI-driven productivity gains be sustained once validation/review costs are fully accounted for, or do they wash out?
- Will regulation, tooling, or process changes emerge to contain the 'blast radius' of low-skill engineers using powerful AI agents?

**Highlights**

> Exactly. For most of my career, bad engineers (or juniors who were earnestly learning) would struggle to even create output that compiled, let alone ran. And it would take them a long time to implement something poorly. So the blast radius from their incompetence would be limited. Today, a bad engineer can churn out ten thousand lines of garbage that actually compiles and runs, before my first cup of coffee. If not on a tight leash, they'll sink the whole codebase or inundate every senior person with garbage code review requests. The blast radius is unlimited!
> — [ryandrake on hackernews](https://news.ycombinator.com/item?id=49273758)

> I think this point gets lost on people. A frequent argument I see in favor of vibecoding is: “well there’s also bad engineers”. In other words, bad code is already being written, so who cares if the LLM is wrong sometimes? The issue is that with no reins, the LLM is a fire hose of bad code compared to the garden hose of bad code orgs had before. A good engineer, with a good model and harness will produce great stuff. A bad engineer with a good model and harness will produce something faster, but it will be worse.
> — [cautiouscat on hackernews](https://news.ycombinator.com/item?id=49273366)

> In the "iceberg" of boring company systems I see working day to day I actually think delivery of production software has been slowed down. The cost of "writing" code went down a bit, while validation costs positively exploded. There are definitely more apps developed these days but I haven't seen anything much vibe coded which actually seems to have staying power. Everything is prototype quality.
> — [pydry on hackernews](https://news.ycombinator.com/item?id=49274253)

> Ironically, AI mitigates bad developers quite a bit. The architecture/design is coming from above bad devs (in a functional org), and AI tends to write less sloppy code than bad devs, and test/validate it more rigorously.
> — [CuriouslyC on hackernews · 6 comments](https://news.ycombinator.com/item?id=49273249)

> I think of it more as "the automation of the stackoverflow engineer". In enterprise software, there has always just been a non-negotiable large volume of code that was required to be written. This has traditionally been offloaded by having seniors do the hard thinking then distill it into a jira ticket which could be handed off to an engineer that'd actually write the code and punch every hiccup into google along the way. This hand off is no longer necessary as that same senior can just kick off an agent and have it handle the implementation for them. I've heard some refer to this as a "nature is healing" scenario for the industry where if you only signed up for a high paycheck and didn't care to think critically about any of the work you're doing then this will be painful because that previously manual process has been automated. The floor of what's necessary to be considered valuable has been raised.
> — [scronkfinkle on hackernews · 9 comments](https://news.ycombinator.com/item?id=49273178)

**Source threads**

- [hackernews](https://news.ycombinator.com/item?id=49271994) · 152 points · 182 comments

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- [AI still needs humans](https://daily.dev/posts/ai-still-needs-humans-nml187ik0) · InfoWorld · 0 upvotes · 0 comments

---

Tags: [#ai-coding](https://daily.dev/tags/ai-coding), [#claude](https://daily.dev/tags/claude), [#code-review](https://daily.dev/tags/code-review), [#technical-debt](https://daily.dev/tags/technical-debt)

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