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DHH Omarchy Doctrine: Fascism Stage One by Definition

https://www.flyingpenguin.com/dhh-omarchy-doctrine-fascism-stage-one-by-definition/
2•jamesgill•3m ago•0 comments

Navier Stokes

1•Lifelogger•3m ago•0 comments

Vanishing Culture: A Report on Our Fragile Cultural Record

https://archive.org/details/vanishing-culture-2026
1•colinprince•4m ago•0 comments

Show HN: Family Greenhouse – shared plant care for a household

https://familygreenhouse.net/
1•ChelseaKR•4m ago•0 comments

Show HN: Algo-Trading-Skills – trading failure modes AI agents don't know

https://github.com/HimanshuJ16/Algo-Trading-Skills
1•HimanshuJ16•5m ago•0 comments

Physicist does the math on Star Trek's "Picard maneuver"

https://arstechnica.com/science/2026/09/physicist-does-the-math-on-star-treks-picard-maneuver/
2•quantified•7m ago•0 comments

FDA Clears Bionic Pancreas for People with Type 1 Diabetes

https://www.bu.edu/articles/2023/fda-clears-bionic-pancreas-for-type-1-diabetes/
1•daniel_iversen•18m ago•1 comments

Orbit: 217 Ns/token CPU memory query, 236.9 vs. 317.1 ppl on WikiText-2 [pdf]

https://github.com/torakagemusha-sudo/torafirma-systems/blob/main/orbit/ORBIT_Public_Benchmark_Re...
1•thomastorafirma•18m ago•0 comments

RWK – A Text Mmorpg Still Active Since 2001

https://rwk1.racewarkingdoms.com/
2•Caarticles•20m ago•1 comments

DoD cyber strategy aims for 'something big, something muscular' in offensive ops

https://breakingdefense.com/2026/09/dod-cyber-strategy-aims-for-something-big-something-muscular-...
2•nosmokewhereiam•20m ago•2 comments

SAGG – failover gateway for cheap LLM providers

https://api.privatedeskai.com/benchmarks
1•koroleva_labs•27m ago•0 comments

Genome Duplication Is an Evolutionary Gamble

https://www.quantamagazine.org/genome-duplication-is-a-radical-evolutionary-gamble-20260902/
2•gumby•27m ago•0 comments

Show HN: OpenMuse – an Open Source alternative to Meta's personal agent

https://github.com/diggerhq/openmuse/
1•iacguy•28m ago•0 comments

Anthropic Staffers Again Sound the Alarm on AI Catastrophe

https://www.motherjones.com/politics/2026/09/anthropic-ai-risks-coxon-amodei-openai-cybersecurity...
3•signa11•32m ago•0 comments

OpenAI's Bubeck denies trying to cut Anthropic mathematician from credit

https://thenextweb.com/news/bubeck-navier-stokes-account-apology-altman
2•htk•32m ago•0 comments

T-Mobile to Charge $5 a Month for iOS 27 iPhone Handoff

https://www.macrumors.com/2026/09/10/ios-27-iphone-handoff-cost/
5•seemaze•33m ago•1 comments

Review a pull request by booting it

https://fzakaria.com/2026/09/09/review-a-pull-request-by-booting-it
1•lalitmaganti•33m ago•0 comments

Let's Encrypt Outage

https://letsencrypt.status.io/pages/incident/55957a99e800baa4470002da/6aa35c1d892d7304f2747e01
1•takoid•35m ago•0 comments

Watermarks Without Verification: AI Text Watermarking After the EU AI Act

https://arxiv.org/abs/2609.09604
1•sbulaev•35m ago•0 comments

'Not selling my soul': Why this Aussie maths professor took on OpenAI

https://www.afr.com/world/north-america/not-selling-my-soul-why-this-aussie-maths-professor-took-...
1•Alien1Being•38m ago•0 comments

Tesla Autopilot was on in I-35 crash that killed its driver

https://electrek.co/2026/09/10/tesla-driver-assist-i35-guardrail-pattonsburg/
2•jijojv•40m ago•2 comments

Show HN: Kern Agent – See inside your agent's brain

https://github.com/oguzbilgic/kern-ai
1•obilgic•45m ago•0 comments

Try GPT-6 Astra for a few bucks

https://trylatestmodel.com/
2•Guustaaf•51m ago•1 comments

Hired to Code, He Built Hudson River Trading and a $27B Fortune

https://www.bloomberg.com/news/features/2026-09-10/how-jason-carroll-built-hudson-river-trading-a...
4•aanet•1h ago•1 comments

Vivaldi 8.2 for mobile: the browser. Your rules. Your extensions

https://vivaldi.com/blog/vivaldi-on-mobile-8-2/
4•thunderbong•1h ago•0 comments

A mini-game around fake news

https://unspin.hidden-pond-5e6a.workers.dev/
3•azermite•1h ago•0 comments

How My Students Think About AI

https://www.lesswrong.com/posts/ySXuvJcqRindQwAk7/how-my-students-think-about-ai
11•paulpauper•1h ago•1 comments

In Japan, Television Viewing Doesn't Have to Take a Back Seat (2013)

https://www.wsj.com/articles/SB10001424127887323296504578397020440247856
3•libpcap•1h ago•0 comments

How do Necco wafers, paper receipts, and farmers almanacs still exist?

https://thehustle.co/newsletters/09-09-2026
3•paulpauper•1h ago•1 comments

AI #185: Preference Cascade

https://thezvi.substack.com/p/ai-185-preference-cascade
2•paulpauper•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.