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The HydroGym reinforcement learning platform for fluid dynamics

https://www.nature.com/articles/s41586-026-10917-6
1•loiseaujc•4m ago•0 comments

Build a Reasoning Model, Scratch 2: Base, Text Gen, KV Caching [Seb Raschka][YT]

https://www.youtube.com/watch?v=BJua0yjO5dk
1•mdp2021•4m ago•0 comments

Jeff Bezos and the Age of Amazon (2014)

https://medium.com/galleys/the-everything-store-6ce05e08ed08
1•tosh•7m ago•0 comments

India Eradicated Polio

https://altermag.com/articles/how-india-eradicated-polio
1•trojanalert•10m ago•0 comments

Neural Canvas: a fruit fly connectome demo in the browser

https://huggingface.co/spaces/Xenova/fruit-fly-simulation
1•codelion•11m ago•0 comments

The binary I ship is the binary I want to test

https://blog.maxgio.me/posts/the-binary-i-ship-is-the-binary-i-want-to-test/
1•maxgio92•12m ago•1 comments

England's teens outperform peers in most countries in maths, reading and science

https://www.theguardian.com/education/2026/sep/08/england-teenagers-outperform-peers-in-most-coun...
2•defrost•15m ago•0 comments

Logitech launches MX Keypad for developers

https://news.logitech.com/press-releases/news-details/2026/Logitech-Unveils-MX-Keypad-for-Develop...
1•fourfire•16m ago•0 comments

Is the UK government the new training ground for AI execs?

https://www.theguardian.com/technology/2026/sep/07/architect-uk-ai-policy-quits-anthropic-conflic...
1•nixlaz•17m ago•0 comments

CERN LHCb upgrade under threat after UK pulls funds

https://www.researchprofessionalnews.com/rr-news-europe-infrastructure-2026-8-lhcb-upgrade-still-...
1•g6pdh•19m ago•0 comments

Atoonk/packetio: high-performance packet I/O library for Go

https://github.com/atoonk/packetio
1•pjf•19m ago•0 comments

Please consider running a NTP server in the NTP Pool

https://dreamstation.systems/personal/ntppool.html
4•robinpie•20m ago•0 comments

Show HN: EdgePad – tool for configuring edge touchpad gestures on Linux laptops

https://github.com/assembledev/edgepad
2•dev-e•20m ago•0 comments

Isthmus: History as an Answer Key in Cross-Field Retrieval [pdf]

https://darksigma.com/cross-field-retrieval-benchmark-isthmus.pdf
1•LumiTharMan•21m ago•0 comments

The firms turning recruitment into X Factor-style competitions

https://www.bbc.co.uk/news/articles/cgk43mn42g7o
2•baloki•22m ago•0 comments

Two children died from gene therapies in China: where the field goes next

https://www.nature.com/articles/d41586-026-02497-2
3•sbulaev•28m ago•1 comments

Python Turtle Graphics

https://docs.python.org/3/library/turtle.html
2•gebt•28m ago•0 comments

DeepSeek v4.1 Flash is now available for internal beta testing

3•dares2573•30m ago•0 comments

Machine learning of artistic fingerprints in jazz

https://www.nature.com/articles/s42256-026-01279-9
1•tobr•32m ago•0 comments

"Hammock Driven Development" (2010)

https://www.youtube.com/watch?v=f84n5oFoZBc
1•birdculture•37m ago•0 comments

A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing

https://github.com/HandEdit/HandEdit
1•kaonashi-tyc-01•39m ago•0 comments

Refine Cycle: self-improvement plugin for Hermes Agent

https://github.com/Bergschloss/Refine-Cycle-for-Hermes-Agent
1•1134taras•40m ago•0 comments

Show HN: Use Strava's official MCP with other chatbots

https://github.com/leecjohnny/strava-mcp-gateway
1•leecmjohnny•41m ago•0 comments

I talked to deep buddy about AI solving Navier Stokes rumors

https://www.echohive.ai/deep-talk-buddy/navier-stokes
1•echohive42•44m ago•0 comments

How AI based programming could work (2016)

https://bjenik.com/AIBasedProgramming/
1•andsoitis•48m ago•1 comments

A Zero-Dark-Matter Mechanical Model of Cosmology

https://github.com/IoannisKousoulakos/THE-KOUSOULAKOS-MODEL-OF-COSMOLOGY-WIP/tree/main
1•ppkuio•51m ago•0 comments

US attacks UK plans to boost traditional media on social platforms

https://www.theguardian.com/us-news/2026/sep/07/trump-administration-attacks-uk-social-media-plans
5•beardyw•54m ago•2 comments

Why Taiwan's Silicon Shield Is Failing

https://nationalinterest.org/blog/techland/why-taiwans-silicon-shield-is-failing
2•baud147258•56m ago•1 comments

Show HN: Hybrid Nav2 and PPO RL for indoor Lidar-only robot navigation

https://github.com/Sourav29-2/ppo-lidar-navigation-
1•Ros_Sourav•1h ago•0 comments

Stable Singularity of the Euler Equations on R^3 without forcing – Anima on AI

https://anima-ai.org/2026/09/07/stable-singularity-of-the-euler-equations-on-r3-without-forcing/
1•bjenik•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.