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We packed every question into one encoder pass and got 14x the throughput

https://tacet.codepawl.com/
1•codepawl•35s ago•0 comments

Fine to use computer-generated survey responses–if you don't care about data

https://statmodeling.stat.columbia.edu/2026/09/24/junk-polls-and-junk-survey-research-they-go-tog...
1•Tomte•1m ago•0 comments

Combining Machine Learning and Homomorphic Encryption

https://machinelearning.apple.com/research/homomorphic-encryption
1•coconutrandom•1m ago•0 comments

From Any to Certainty: A Typechecking Journey

https://napari.org/island-dispatch/blog/from-any-to-certainty.html
1•ocamoss•2m ago•0 comments

Why Computing with Time Gives Neuromorphic AI an Edge

https://www.eetimes.com/podcasts/why-computing-with-time-gives-neuromorphic-ai-an-edge/
1•stmw•2m ago•0 comments

From Thin Air to Bootable Images: The Tine Build System

https://amutable.com/blog/tine-build-system
1•Levitating•3m ago•0 comments

Review: Apple's hyper-pricey M5 Ultra Mac Studio made me into a vibe coder

https://arstechnica.com/gadgets/2026/09/review-apples-hyper-pricey-m5-ultra-mac-studio-made-me-in...
1•musha68k•4m ago•0 comments

Government considers £11 monthly UK broadband fee to fund BBC TV UPDATE

https://www.ispreview.co.uk/index.php/2026/09/government-considers-11-monthly-uk-broadband-fee-to...
1•speckx•5m ago•0 comments

Booting Google's Fuchsia OS on an Apple M3 MacBook

https://bsky.app/profile/integralpilot.bsky.social/post/3mwbdl3a7322a
1•integralpilot•6m ago•0 comments

iLands: The New Dystopian AI Farm That Is Filling Everyone's Inboxes with Spam

https://www.iflscience.com/ilands-the-new-dystopian-ai-farm-that-is-filling-everyones-inboxes-wit...
2•thinkingemote•7m ago•0 comments

Analog in-memory computing attention mechanism for fast and energy-efficient LLM

https://www.nature.com/articles/s43588-025-00854-1
2•bilsbie•7m ago•0 comments

Robots grow and package lettuce year-round in Norway's automated farm

https://phys.org/news/2026-09-robots-package-lettuce-year-norway.html
1•surprisetalk•8m ago•0 comments

ShipWall, ten launches a day, ranked until midnight, then frozen

https://shipwall.thecompound.tech
1•kyisaiah47•8m ago•0 comments

Bread AI – decentralized AI inference using spare GPUs

https://breadai.io
1•rudda•11m ago•0 comments

"Apple has developed an unexpected workaround."

https://unsung.aresluna.org/apple-has-developed-an-unexpected-workaround/
1•speckx•11m ago•0 comments

Jev Is Not a Language Model, but It Breaks Like One

https://blog.checkpoint.com/ai-security/jev-is-not-a-language-model-but-it-breaks-like-one-prompt...
2•patresh•11m ago•0 comments

The same bug fix costs 0.4¢ or $2, depending on which coding agent you ask

https://www.ariwilson.com/writing/bakeoff-results/
2•ariwilson•11m ago•0 comments

Microsoft's Terrifying New Patent (ACR Adjacent)

https://www.youtube.com/watch?v=Smwo493IAfw
2•garrettjoecox•13m ago•0 comments

Underlimit – Beat 2MB PDF upload caps with 1984 fax compression

https://mirceamitu.github.io/underlimit/
1•mirceamitu•14m ago•0 comments

Can your AI model survive its own mistakes?

https://github.com/dmigwi/tapoo
1•dmigwi•14m ago•0 comments

OpenAI Agent Attack on Austral. Gov't Website: First Publicly Disclosed Instance

https://www.wsj.com/tech/ai/openai-agent-hacked-australian-government-website-eecf7a7a
1•bookofjoe•14m ago•1 comments

Machine god metaphors eat your brain

https://www.programmablemutter.com/p/machine-god-metaphors-eat-your-brain
1•AnodicElegy•16m ago•0 comments

Cloudflare Python Workers are now generally available

https://simonwillison.net/2026/Sep/21/cloudflare-python-worker/
1•hn9zmdcaou•18m ago•0 comments

Goodbye Grok bot? Claude just released a competitor

https://code.claude.com/docs/en/claude-code-on-the-web
1•rkovashikawa•18m ago•0 comments

AI, Make the Website Good

https://www.zachleat.com/web/ai-websites/
1•meetpateltech•19m ago•0 comments

Accelerating delivery of CVE fixes with a new Kernel release strategy

https://canonical.com/blog/accelerating-delivery-of-cve-fixes-with-a-new-kernel-release-strategy
3•speckx•20m ago•0 comments

Julius Evola

https://en.wikipedia.org/wiki/Julius_Evola
1•PaulHoule•20m ago•0 comments

Google Takes the A.I. Data Center Race to Outer Space

https://www.nytimes.com/2026/09/24/technology/google-suncatcher-ai-data-center-space.html
5•jbegley•23m ago•0 comments

Google Is Sending an A.I. Data Center to Outer Space

https://www.nytimes.com/2026/09/24/technology/google-suncatcher-ai-data-center-space.html
2•quapster•23m ago•0 comments

Oracle Cites 'Force Majeure' to Shield Itself on Controversial Data Center

https://www.bloomberg.com/news/articles/2026-09-24/oracle-cites-force-majeure-to-shield-itself-on...
5•simonpure•23m 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.