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Is Anthropic Protecting Us, or Just Playing Us?

https://medium.com/tech-ai-chat/is-anthropic-protecting-us-or-just-playing-us-09e773caffe5
1•elye•28s ago•0 comments

Show HN: Majority – Find new music and vote on your favorites

https://majority-eight.vercel.app/
1•monoRepo11•5m ago•0 comments

Warren Buffet's last Berkshire letter: "Father Time always wins." [pdf]

https://www.berkshirehathaway.com/news/sep1826.pdf
1•j-bu•6m ago•0 comments

What Using AI Therapy Gets Wrong

https://emilylee293105.substack.com/p/what-ai-therapy-gets-wrong-904
2•fhe•8m ago•0 comments

Show HN: Jev beats Astra, fable, Opus at RF engineering task

https://twitter.com/cohavygal/status/2100931737291223265
1•galcohavy•8m ago•0 comments

An Empirical Study of Harness Design for Coding Agents

https://arxiv.org/abs/2609.20804
2•wek•15m ago•0 comments

The Trap of "Phantom TAM"

https://marketinvestigation.beehiiv.com/p/the-hidden-trap-of-phantom-tam-why-ad-dependent-platfor...
1•mapendembet•17m ago•0 comments

I Tried to Leave the Terminal Eight Times. The Ninth Stuck

https://thoughts.jock.pl/p/terminal-to-agentic-ide-bb-journey-2026
1•joozio•18m ago•0 comments

Germany turns on Brussels as Chinese car sales on track to exceed 1M in 2026

https://www.euronews.com/my-europe/2026/09/17/germany-turns-on-brussels-as-chinese-car-sales-on-t...
2•Markoff•18m ago•1 comments

Vulkan Documentation Project

https://docs.vulkan.org/spec/latest/index.html
1•ibobev•19m ago•0 comments

Gabor Fields: Orientation-Selective Level-of-Detail for Volume Rendering

https://arcanous98.github.io/projectPages/gaborVolumes.html
1•ibobev•19m ago•0 comments

12-Factor Agents – Principles for building reliable LLM applications

https://github.com/humanlayer/12-factor-agents
2•beepdyboop•19m ago•0 comments

Handling 100M time series with Arrow, Parquet, and object storage

https://www.parseable.com/blog/how-parseable-handles-100-million-time-series
1•yashdotrv•20m ago•0 comments

TLDR; what the heck is Jev?

https://www.jrzs.dev/blog/what-the-heck-is-jev/
1•jrhey•20m ago•0 comments

C++26: Trivial infinite loops are no longer undefined behaviour

https://www.sandordargo.com/blog/2026/09/16/cpp26-trivial-infinite-loops
2•ibobev•20m ago•0 comments

DJ Shadow looks back at "Entroducing" and other early work

https://www.msn.com/en-us/news/other/dj-shadow-spent-decades-digging-for-records-now-hes-digging-...
2•ilamont•23m ago•0 comments

When the Debugger Lies

https://danielmangum.com/posts/when-the-debugger-lies/
1•hasheddan•24m ago•0 comments

Putin envoy and far-right AfD prepare talks to get Russian gas back for Germany

https://www.reuters.com/world/putin-envoy-far-right-afd-prepare-talks-get-russian-gas-back-german...
2•alephnerd•25m ago•0 comments

Maker's Schedule, Manager's Schedule

https://www.paulgraham.com/makersschedule.html
1•tosh•27m ago•0 comments

Clocky: Alarm clock on wheels that runs away from you

https://clocky.com/pages/about-us
1•Bluestein•27m ago•0 comments

Show HN: Bastionskill – scan an AI agent skill for malicious code

1•Rinkia•28m ago•0 comments

The Return of the Utah Teapot – Siggraph 2026 [video]

https://www.youtube.com/watch?v=k-23LgrFcvs
1•justin66•29m ago•0 comments

AI eyes in the sky: New satellites and AI transforming wildfire detection

https://www.theguardian.com/us-news/2026/aug/17/satellites-ai-wildfire-detection
1•bookofjoe•30m ago•0 comments

Sales calculation tool for Excel price lists

1•Marten42•30m ago•0 comments

Qbix Server – PHP 100× faster than Nginx and PHP-fpm

https://github.com/Qbix/webserver
1•theHocineSaad•31m ago•0 comments

The Input Layer

https://mg-crea.com/blog/the-input-layer/
1•olouv•32m ago•0 comments

Show HN: Explore 2D semantic space with the Jev model

https://semanticspace.dev/
1•holdswarm•33m ago•0 comments

King Charles has hesitations about AI

https://techcrunch.com/2026/09/17/even-the-king-of-england-has-his-hesitations-about-ai/
1•soltanov•34m ago•0 comments

The Harms of Modern Lighting and the Fight to Bring Back Incandescent Bulbs

https://www.midwesterndoctor.com/p/the-hidden-harms-of-modern-lighting
1•bilsbie•35m ago•0 comments

Show HN: Using a diffusion model to write docs quickly

https://www.cortee.ai
1•nandorb1•38m 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.