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AI Writes the Code, but Humans Can't Review It All. Now What?

https://www.sylvainkalache.com/blog/ai-writes-the-code-but-humans-cant-review-it-all
1•sylvainkalache•1m ago•0 comments

CSS: The bomb inside your inbox

https://portswigger.net/research/css-the-bomb-inside-your-inbox
1•ashurandi•9m ago•0 comments

Enough with all the world-historic milestones

https://scottaaronson.blog/?p=9979
1•mellosouls•11m ago•0 comments

Everest Fallacy

https://www.livius.org/articles/theory/everest-fallacy
1•jruohonen•12m ago•0 comments

Multiplayer Game Networking with Python

https://github.com/feberts/python-game-server
2•tio-fabi•16m ago•0 comments

The attacker can prove what they took. You can only prove what you logged

https://stillig.net/posts/prove-what-they-took/
1•johtidebreak•20m ago•0 comments

The Alpha 21264 CPU: NT's Greatest RISC (1998)

https://halfhill.com/byte/1998-12_alpha.html
1•Lammy•20m ago•0 comments

Aswath Damodaran: Big Tech Has No Idea How AI Pays Off

https://www.youtube.com/watch?v=vE_FR0O-Jhk
2•tcp_handshaker•29m ago•1 comments

Ask HN: What part of modern Git hosting system is the most crucial one for you

1•melezhik•29m ago•2 comments

Internal documents show how US tech companies captured children's attention

https://www.nytimes.com/2026/06/04/us/social-media-schools.html
2•Dusrri•34m ago•0 comments

Generative design of bacteriophages with genome language models

https://www.science.org/doi/10.1126/science.aec2657
1•majkinetor•35m ago•0 comments

Meta CTO: employees should use AI productivity to do more work – not time off

https://www.businessinsider.com/meta-cto-andrew-bosworth-ai-gains-work-2026-8
2•vrganj•36m ago•0 comments

How LLMs accelerated Cloudy development? not by typing code for me

https://cloudywithachanceoflatency.net/blog_02-how-llm-accelerated-cloudy-dev.html
1•rixed•38m ago•1 comments

South Korea, Taiwan top Japan in exports for first time on AI boom

https://asia.nikkei.com/business/tech/semiconductors/south-korea-taiwan-top-japan-in-exports-for-...
2•newusertoday•39m ago•0 comments

Swarm-forge: A simple tool for coordinating several AI agents

https://github.com/unclebob/swarm-forge
1•tosh•42m ago•0 comments

Google's Westinghouse Bet

https://asimovaddendum.substack.com/p/googles-westinghouse-bet
1•ashurandi•43m ago•0 comments

Cloudflare OS is an architecture of distrust

https://lord.technology/2026/08/05/cloudflare-os-is-an-architecture-of-distrust.html
1•gsky•46m ago•0 comments

Show HN: Airy – Free, fast, and simple voice content creation

https://airy.so
2•login588•58m ago•0 comments

Show HN: A Minimal Python CLI Implementation of Quick Share for Linux

https://github.com/adityatelange/quickshare-cli-py
1•adityatelange•59m ago•0 comments

Before the Breakthrough: Why Research and Engineering Need Different Cultures

https://chrhenning.com/blog/2026/before-the-breakthrough-research-engineering-cultures/
1•chrhenning•1h ago•0 comments

Signified and Signifier

https://en.wikipedia.org/wiki/Signified_and_signifier
1•soupspaces•1h ago•0 comments

Show HN: Find. Fix. Verify. Zero Guesswork

https://kinetixseo.com
1•wowinter15•1h ago•0 comments

Rethinking do_action(): Events as objects, hooks as class names

https://developer.wordpress.org/news/2026/08/rethinking-do_action-events-as-objects-hooks-as-clas...
1•firasd•1h ago•0 comments

Runware Squeezes A 1MW AI Data Center Into A 20-Foot Shipping Container

https://www.forbes.com/sites/gabrielalinzainescu/2026/08/08/runware-squeezes-a-1mw-ai-data-center...
3•01-_-•1h ago•2 comments

Solve math calculations directly in your Firefox address bar

https://support.mozilla.org/en-US/kb/solve-math-calculations-directly-your-firefox-addr
2•internet_points•1h ago•1 comments

DeepSeek V4 Flash 0731: 82.7% on Terminal-Bench 2.1 with a public harness

https://antigma.ai/eval
4•ubermon•1h ago•1 comments

Shrinking Ruby Hashes

https://byroot.github.io/ruby/performance/2026/08/05/shrinking-ruby-hashes.html
1•fanf2•1h ago•0 comments

S3-Compatible Object Storage. A MinIO Fork Maintained by Pgsty

https://github.com/pgsty/silo
3•EXHades•1h ago•0 comments

Abracadabra: How does Shazam work? (2022)

https://www.cameronmacleod.com/blog/how-does-shazam-work
2•downbad_•1h ago•0 comments

Different meanings of p-value (and how my thinking has changed) (2023)

https://statmodeling.stat.columbia.edu/2023/04/14/4-different-meanings-of-p-value-and-how-my-thin...
2•Tomte•1h ago•0 comments
Open in hackernews

I Replaced My Devs with Agents – Part 2: What Happened to the Team

https://easylab.ai
2•buzzbyjool•1y ago

Comments

buzzbyjool•1y ago
Follow-up to Part 1, where I explained how we rebuilt our dev process around LLM agents at Easylab AI and stopped writing most code by hand.

The original post sparked a lot of questions — the most common being:

“Okay, but how did your developers react?”

Here’s a breakdown of what actually happened inside the team — who stayed, who didn’t, and what new skills emerged.

⸻

Some embraced it. Some left. That’s okay.

When we committed to building with agents — not just using LLMs for autocompletion, but making them first-class executors of logic — not everyone was thrilled.

Some engineers were fascinated. They saw the shift coming and wanted to be ahead of it. They became architects of multi-agent workflows, prompt designers, QA strategists, validators.

Others didn’t want to work that way. They liked writing every line, owning every detail, and were (understandably) uncomfortable giving up control to a system that feels less deterministic.

They moved on. We didn’t push them.

Like every evolution in software tooling, this one came with a natural selection effect. Not better or worse. Just different skillsets, different energy.

⸻

This isn’t no-code. It’s new-code.

Some assumed we were just automating CRUD. That’s not what happened.

The tools we use today — Claude 3.7, DeepSeek, bolt.new, role-based agents, memory stacks — aren’t trivial macros. They’re a new level of abstraction. They reason. They refactor. They test. They fail with style.

You don’t “ask the AI to do it.” You engineer constraints, context, fallbacks, tooling, and create robust systems through language.

At Easylab AI, we use context protocols, Redis-based memory layers, and model routing logic based on latency and task weight. It’s not less technical — it’s just built differently.

⸻

Did their skills atrophy?

Actually, the opposite.

Sure, they’re not practicing DSA interview puzzles every day. But they’re building systems that can write tests, simulate failure, and self-correct.

They’re learning new skills you can’t yet Google: • Prompt minimalism • Agent composability • Multi-agent state consistency • Prompt-based debugging

They think more like staff engineers than syntax solvers.

⸻

This is abstraction, not disappearance

The fear that “AI replaces engineering” misses the nuance.

This isn’t magic. It’s not cheating. It’s just abstraction — like every wave before: • Assembly to C • C to Python • Python to Terraform • Terraform to prompt-based execution

As Jensen Huang (NVIDIA CEO) said earlier this year:

“English is now the world’s most popular programming language.”

He’s not wrong. We’re just learning to write instructions that build systems — without the middle step of syntax.

⸻

One more thing

Some developers left. Most who stayed leveled up. And today, no one wants to go back.

That tells me something: It’s not easier work. It’s better work.

Happy to answer more if folks are curious.

falcor84•1y ago
I'm not clear - is this comment the actual post, while the link that you shared is irrelevant? If so, it would have probably been more appropriate to submit this as an "AMA:" without a url.
buzzbyjool•1y ago
Hi thanks for your comment, honestly I don't know how to do it. Thanks
falcor84•1y ago
Oh, it's just that you can make a submission without anything in the 'url' input. Here are a couple of examples:

https://news.ycombinator.com/item?id=15853374

https://news.ycombinator.com/item?id=43363056

buzzbyjool•1y ago
thanks
JohnFen•1y ago
> Some developers left. Most who stayed leveled up.

"Leveled up" is a subjective, loaded term. I assume what you mean here is "adapted to your way of doing things."

> And today, no one wants to go back.

Well, of course, because those who would have wanted to go back already left. This appears to be selection bias more than evidence that your approach is a good one.

To be clear, I'm not trying to imply that your approach isn't a good one. I'm just saying that the devs who remained not wanting to go back isn't evidence that it is.

buzzbyjool•1y ago
You’re absolutely right to call that out — and I appreciate the thoughtful framing.

“Leveled up” is subjective, yes. What I meant more precisely is this: the devs who stayed stopped spending time on tasks like writing boilerplate logic or tweaking form validation, and started focusing on higher-order thinking — designing agent workflows, debugging reasoning paths, writing specs that are machine-parsable, and thinking in systems rather than syntax. That shift, in terms of skill depth and adaptability, is something I genuinely view as a level-up. But I agree, it’s through the lens of our environment.

And yes — absolutely fair on the selection bias. When I say “no one wants to go back,” I don’t mean it as proof the approach is universally better. It’s just true for our current team, within the culture and processes we’ve chosen to embrace. Those who didn’t align with this way of working left early — and I don’t hold that against them.

So your comment is a valuable nuance: internal satisfaction is a necessary condition for success, but not a sufficient one. Our team’s enthusiasm is a sign that the model can work — not that it will for everyone.

Thanks for calling it out clearly.