Pavlo Machekhin

SSR Full 🥩 Developer 🏢 / Node.js, React, Ember, Elixir 🔮 / LFC ⚽️ / Пиво, деруни, сємачки / 🇺🇦➡️🇪🇪

[Pavlo Machekhin @bashmach]

@dhh @MichalAiWorld Hey @dhh, do you know if this repo moved? It looks like the user disappeared from github and it's throwing a 404 now.

[Pavlo Machekhin @bashmach]

Crash is the new CI/CD

[José Valim @josevalim]

At this point, this is just irresponsible.

Yes, coding agents are leading to an increase of software production, but we are not seeing a similar push or increase in software quality.

If Anthropic focuses on safety and it believes software engineering is going away, then it needs to be doing much more to improve how we design, build, test, and maintain software (aka software engineering). Increasing the production of unreliable, poorly designed, and unverified software directly undermines safety.

Claude Code is claimed to be "fully written by AI". In the last two months, it took three separate postmortem-worthy failures and user complaints to surface what their own testing missed. Yesterday users were being over billed by hundreds of dollars. Software engineering isn't ready to go away and there is not enough progress to argue that case.

I am certain Anthropic would argue that AI progress in other domains is strongly dependent on having proper safeguards in place. I can't wrap my head around the cognitive dissonance when it comes to software.

PS: Mythos (may) improve software security, but that is only a subset of safety.

[Pavlo Machekhin @bashmach]

Who will play more minutes together: Durant, Kyrie and Harden or Wirtz, Ekitike and Isak?

[Pavlo Machekhin @bashmach]

It is incredible to see Elixir community leverage for the agentic future 🧪✨ BEAM was made for this era 🤖

[Andrej Karpathy @karpathy]

A few random notes from claude coding quite a bit last few weeks.

Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent.

IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits.

Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased.

Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion.

Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage.

Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building.

Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it.

Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements.

Questions. A few of the questions on my mind:
- What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*.
- Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro).
- What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music?
- How much of society is bottlenecked by digital knowledge work?

TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

[Buddy Hadry @buddyhadry]

claude, write a playwright script to fill out the signup form for this api account.
test and iterate as much as you need to. ill wait.

[Pavlo Machekhin @bashmach]

Since 14 Jul 2014, I've completed 11375 tasks and have reached Todoist Karma Enlightenment! https://t.co/W6J6cbJkZ5

[Ragnar Sass @ragnars]

Big news to share - we are launching today the first pan-European defence fund that’s 100% focused on real military products, including weapons systems. We are investing combat proven products & teams, that have the highest impact for Ukraine WIN & Re-Arm Europe!

We’re not typical VC - we are a Defence Tech Ecosystem builder! Darkstar is run by founders who move at wartime speed. We’ve already made 2 investments and will finalise the next 4 - 5 this year. Every startup we will back will get real combat tests by 🇺🇦 top military units. Europe needs defence tech that is tested, trusted, and field-ready & which works under fire.

We’re backed by 30+ founders/investors across Europe. Our biggest LP is SmartCap — Estonia’s sovereign defence fund. The fund size: €25M, with a first close at €15M. We invest up to €1M per company.

And yes — our Future Army Bootcamp #4 is coming soon to Ukraine.

Let's be super clear - even the strongest word or coolest presentation has never stopped ballistic missiles or FPVs hitting the target - it's time only for REAL ACTION by Europe! And we have to move FAST!

[Bjarne Johannsen @b_johannsen]

It's time to rebuild our industries!
Build real and hard things. You will not change the world with another app for your dog. 🇪🇺🏭

[Kaja Kallas @kajakallas]

Shocking images as Russian missiles hit Okhmatdyt Hospital, #Ukraine’s largest children’s hospital.

It's a reminder of why we must support Ukraine and why outright Russian war criminals must be held to account.

[Ihor Lachenkov @igorlachenkov]

Today russia hit "Ohmatdyt" children’s hospital with a rocket.

The National Children's Specialized Hospital "Ohmatdyt" is the largest children's hospital in Ukraine, where more than 20,000 children from all over the country are treated every year.

[Yura Gnatyuk @ygnatyuk_]

Коли вас просять порадити фільм, який першим спадає на думку? 👇🎬

[Toronto Television / Телебачення Торонто @tvtoront]

❗️ At least 20 people were at the epicenter of the explosions, - Kharkiv Regional Prosecutor's Office on the shelling of the Epicenter

According to the updated information, at least 44 people have been injured and 14 people have been killed.

Seven people are still missing.

[Gergely Orosz @GergelyOrosz]

Here is an explanation of how ChatGPT works. From an authoritative source: the engineering team that built it! https://t.co/3udkZs5bmO

We are not debating that LLMs have impressive capabilities: but pointing out limitations that are important to be aware of and counter.

[diana khater @KhaterDiana]

Everyday activity of Ukrainians for 3 years already. But yeah talk about how tired you are.

[e-Residency: Estonia @e_Residents]

Estonian entrepreneur & co-founder of Pipedrive, @ragnars, has delivered over €4M of support to #Ukraine through @69thSB. As Ragnar says, we must also ensure their economy remains strong. That's why #eResidency is reimbursing set-up fees for Ukrainians: https://t.co/nKHPck9UJL

[Pavlo Machekhin @bashmach]

@s0l0miya @megogo_ua Якщо @megogo_ua прислухалися саме до тебе, то я буду дуже щасливий, аби і подалі запрошували @kolisnyck 🙏 Гарний результат з трансляцією і коментарями гостей сьогодні 👍