Niko Barli

Software Engineer, Manager, Problem Solver (simple solutions for complex problems) @ Ziosoft, Inc. Opinions stated here are my own.

[Erik Meijer @headinthebox]

The tweet should speak for itself ;-) but let me add that (a) it was never about the code, especially not about puzzles (b) people with good taste that can think creatively and out of the box are infinitely more scarce and thus valuable then those who can memorize stuff, and (c) especially when whiteboard coding became remote and not actually in front of a whiteboard, cheating was rampant.

[F.O.L.A @folaoftech]

When a backend developer touches CSS 😂

[Jamieson O'Reilly @theonejvo]

> be humble me
> grow up dirt poor
> leave school at 16
> learn hacking to survive
> wait what, i can get paid for this?
> build multi million dollar business
> wow i must be like smart or something
> ai boom takes over world and lead researchers are getting paid dynasty-level money
> can't be that hard
> linear algebra lesson 1
> f*ck i'm dumb
> humbled

[Artem Russakovskii @ArtemR]

Did you know that if you don't mention AI every 3.7 seconds at Google I/O, security rushes in and escorts you off the stage?

https://t.co/v37s9E2G3y

#googleio #google

[Ryan Singer @rjs]

A skill that distinguishes senior designers / engineers is the ability, when facing unknowns, to formulate specific questions to make headway. That is, to strategize uphill and not only wander around or explore.

[MIT CSAIL @MIT_CSAIL]

Today, MIT & the IMO released MathNet, the world’s largest dataset of International Math Olympiad problems & solutions 🌍

MathNet is 5x larger than previous datasets & is sourced from over 40 countries across 4 decades: https://t.co/vvojP7Fu9t

[Simon Willison @simonw]

Wrote up some thoughts on Anthropic's Project Glassing, where their latest Opus-beating model is available to partnered security research organizations only

Given recent alarm bells raised by credible security voices I think this is a justified decision
https://t.co/PKgzp99sA0

[Kiana Ehsani @ehsanik]

When we were deciding between joining @AnthropicAI or continuing to build independently at @Vercept_ai , we wrote down the pros and cons. One con everyone kept raising: acquisitions slow you down. You get dragged into bureaucracy. There's no way you ship as fast.

It's been less than four weeks since we joined, and with the team here behind us and joining forces, we just shipped our first product launch.

That speed comes down to the culture here. Everyone moves fast, everyone is incredibly smart, humble and supportive, and it's really easy to get things done. I'm very bullish on this: Anthropic's moat is its people.

Starting today, Cowork now supports full computer use, and Dispatch lets you control your machine remotely from anywhere.

Four weeks down, many more to come. We're just getting warmed up. 🔥

[Alexandre Mutel @xoofx]

https://t.co/hji1hILFZV

[Gergely Orosz @GergelyOrosz]

Data from @Pragmatic_Eng shows that Cursor is on track to overtake GitHub Copilot in usage if they continue this growth.

Claude Code already did this - in just 8 months (!!), growing faster than anything before

More data: https://t.co/mzwLyZtaXh

[tweet davidson @andyreed]

when the whole team is on claude code

[Alex Xu @alexxubyte]

What Are Agent Skills Really About?

How Do They Work?

We made a video to explain it clearly.

[Dr Milan Milanović @milan_milanovic]

𝗦𝗵𝗼𝘂𝗹𝗱 𝗝𝘂𝗻𝗶𝗼𝗿𝘀 𝗖𝗼𝗱𝗲 𝗪𝗶𝘁𝗵 𝗔𝗜?

We assume AI helps junior developers ramp up faster. Learn the codebase quicker, ship sooner, and close the skill gap with seniors.

Anthropic just ran a randomized controlled trial that challenges this. 52 developers learned a new Python library for async programming, half with AI assistance, half without. The AI group scored 𝟭𝟳% 𝗹𝗼𝘄𝗲𝗿 on comprehension tests. That's nearly two letter grades (50% vs 67%, p=0.01). The largest gap? 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴, the exact skill juniors need to catch errors in AI-generated code.

AI didn't even make them faster. The AI group finished about two minutes earlier, but this wasn't statistically significant. Some participants spent up to 30% of their time just writing prompts.

𝗛𝗼𝘄 𝘆𝗼𝘂 𝘂𝘀𝗲 𝗔𝗜 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗲𝘀 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝘆𝗼𝘂 𝗹𝗲𝗮𝗿𝗻 𝗮𝘁 𝗮𝗹𝗹

The study identified six interaction patterns. Three scored below 40%, three scored above 65%.

Low scorers:
→ Delegated everything to AI
→ Started manually, then progressively offloaded work
→ Used AI as a debugging crutch without building understanding

High scorers:
→ Generated code, then asked follow-up questions
→ Requested explanations alongside code
→ Asked conceptual questions, coded independently

Same tool, but different outcomes.

This implies that unrestricted AI access during onboarding creates a capability gap. We get faster task completion today, but we lose the debugging instincts needed to validate AI output tomorrow.

Think about it before you onboard new junior developers.

Image: Anthropic.

[Andrej Karpathy @karpathy]

New art project.
Train and inference GPT in 243 lines of pure, dependency-free Python. This is the *full* algorithmic content of what is needed. Everything else is just for efficiency. I cannot simplify this any further.
https://t.co/HmiRrQugnP

[Fascinating @fasc1nate]

A headline from 1953.

More rare photos: https://t.co/VL9mxUrlIW

[Boris Cherny @bcherny]

I'm Boris and I created Claude Code. I wanted to quickly share a few tips for using Claude Code, sourced directly from the Claude Code team. The way the team uses Claude is different than how I use it. Remember: there is no one right way to use Claude Code -- everyones' setup is different. You should experiment to see what works for you!

[ℏεsam @Hesamation]

https://t.co/LsZLoCMqTN

[Dmitrii Kovanikov @ChShersh]

I’m joining a standup. My manager asks me for my task status.

I reply, “I’m still Canoodling… Give me a couple more days and I’ll be Bamboozling… it. I just hope I won’t be Whobbling…”

Everyone went silent for 2 minutes.

I was asked not to join standup anymore.

[Jason Fried @jasonfried]

AI workflows are technically impressive, but there’s a deeper reason people are really amped about AI agents. This isn’t just new tech, it’s new psychology.

Until now, very few people have known what it feels like to delegate to total competency.

If you manage great people, or lead great teams, you know how it feels to put someone in charge who will get it done, get it done right, and get it done without drama. That kind of delegation is pure joy.

Delegating to competency lets you forget about it completely. That’s real leverage.

And now anyone can experience that. Everyone can feel it. And it feels fucking great. That’s a big reason why the excitement is real, and fully justified.

[Fahad Naim @Fahadnaimb]

Haneda's flight paths today might be the most beautiful in the world. Timelapse proof... those perfect lines and curves. Stunning.

what's your #1 airport for visual patterns?