Vladimir Dimchev

Jack of all trades, master of none.
Currently having fun @TransportAPI

[Vladimir Dimchev @vdimchev]

Legend!

[Mitchell Hashimoto @mitchellh]

Got em. I poison my AGENTS.md (and other things like code comments) all over the place with prompt injections like this to find people who don't review their code and sling it off to another human. Catches folks all the time and then its an instant ban.

As I've said, I don't care if you don't review your own code. But if you're submitting code to an OSS project and crossing a human boundary, it is simple courtesy to do some human review.

[ChrisO_wiki @ChrisO_wiki]

Moscow's instantly-iconic exploding fuel storage tank is resulting in a flood of memes. I'll add a selection below...

[Mitchell Hashimoto @mitchellh]

My heuristic is that any diff an agent generates over ~1500 lines is too big and is indicative that the problem needs to be decomposed. This is my general pattern now for feature work:

1. Try to implement the whole feature, loosely guided. I call this the "draw the owl" prompt in reference to the meme. Expect garbage, you're going to get garbage.

2. If the diff is less than 1500 lines, review it and iterate normally. If the diff is more than 1500 lines, prompt the agent to decompose the problem into atomic, incremental, reviewable tasks. Simultaneously, do this yourself.

3. Agents will very often make these tasks way too specific to the shape they solved. You need to massage it into the right general shape. Do that.

4. Kick off new agents to work on those incremental things (as parallelized as possible). Apply the same rules.

5. At a certain, point, repeat the "draw the owl" prompt. At some point, you will get beneath your review-ability threshold.

This has been producing consistently high quality, maintainable, reviewable chunks of code that have a good handoff to either merge as-is or human refinement.

And with the latest frontier models at xhigh thinking, these are all slow enough that you can usually have multiple going concurrently while you are actively reviewing others or working on your own tasks.

HITL (human-in-the-loop) agents are still super important, especially for feature work. Features touch the human boundary in terms of UI, API, etc. And net new stuff can introduce pathologies in the architecture that violate desired invariants (these should be represented in specs or tests but we aren't perfect!).

I know a lot of the leading edge agentic discourse is about "loops" and agents driving agents continuously. I do some of that (will report on that later). But, in terms of raw daily get-shit-done type of work, this is my most rewarding pattern at the moment.

[Akshay 🚀 @akshay_pachaar]

https://t.co/VoQByJUrBU

[Vladimir Dimchev @vdimchev]

OMG, the tech bros new low 🤦

Schmexcellence vs. Excellence https://t.co/h2iHZpFFSE

[Crémieux @cremieuxrecueil]

I saw a meme about how a guy 'isn't far-right', he's 'just a normal person from 1995'.

I looked into it and found that average people in 1995 tended to hold lots of views that we would now consider unacceptable.

Link below!

[Vladimir Dimchev @vdimchev]

Gold!

Paul Graham, @paulg , Founder of Y Combinator, Live from Stockholm https://t.co/7nDtAlNRmX via @YouTube

[GREG ISENBERG @gregisenberg]

I just got back from SF and I FEEL INSPIRED.

I spent 5 days with frontier AI model teams, AI startup founders, and 3 billionaires.

My takeaways:

1. I had lunch with 3 billionaires. All of them are buying SaaS companies and rebuilding them agent-first. They were deeply inspired by Bending Spoons and Ryan Cohen's eBay deal. Buy the company, cut the headcount, rebuild the tech, add agents, add features, make more valuable experience, raise prices.

2. The frontier model companies are hungry for usage data from the field. They can see API calls and token counts. They can't see the actual workflows. If you're deep in a niche using these models in ways the model companies haven't seen, that understanding is incredibly valuable. Usage intelligence is the new alpha.

3. Consumer AI is massively underbuilt. Every billboard in SF is either B2B inference infrastructure or vertical agent companies. The entire city is optimized for enterprise. Meanwhile you have companies like Cal AI doing $50M ARR in 18 months as a consumer app. I met with a cool few teams doing consumer AI (@paulscherer / @ekuyda)

4. MCP came up in literally every conversation. The companies exposing their product as MCP endpoints are getting pulled into deals they never pitched for. The ones that aren't are becoming invisible to agents. This is the new SEO. If agents can't find you, you don't exist. Building products for agents is the new zeitgeist in general.

5. Not uncommon for hot seed rounds to be $25-50 million valuations. I saw a Series A at $450 million

6. If I had a dollar every time someone mentioned "forward-deployed engineer" this trip I could have funded a seed round. It's the hottest role in SF right now. The person who sits between the agent and the customer, making sure everything actually works.

7. The mood around open source shifted. A year ago it felt like open source was chasing the frontier models. Now founders are telling me Gemma and DeepSeek are good enough for 80% of what they need at a fraction of the cost. The "which model do you use" conversation is being replaced by "which model for which task." Model loyalty kinda feels dead.

8. Voice agents came up more than I expected. Multiple founders told me voice is the interface for the next billion users. The billion people who will never type a prompt will absolutely talk to one.

9. The Obsidian community in SF is weirdly intense. Multiple founders showed me their vaults unprompted. Like showing someone your home gym. It's a flex now. The quality of your knowledge base (second brain?) is becoming a status symbol among builders.

10. Maybe it was just the people I met but the age of the founders is shifting. I met more founders over 40 this trip than any trip before and more founders under age 21 than ever before. Founders getting older and younger at the same time.

11. I spoke to a lot of fast-growing startups, VCs and frontier models who are hiring content creators right now.

12. The restaurant scene in SF is actually better than it's been in years. Founders are going out more. Alcohol is out, not surprisingly.

13. SF doesn't feel like the only place anymore. We all have access to the same frontier models. We all read the same X feed. A founder in NYC or Lagos is calling the same APIs as a founder in SoMa. So in the past it felt like SF was always lightyears ahead, doesn't feel that way anymore. It's okay not to live in SF and have BIG DREAMS.

14. The coworking spaces in SF are half empty but the coffee shops are packed. People want to be around people. I had a few startup ideas here....

15. Walking around the Mission I noticed something: the street-level businesses, the taquerias, the barbershops, the laundromats, none of them use any AI at all.

16. I heard the phrase "agent debt" for the first time. Like technical debt but for agents. When you hack together an agent workflow fast and never clean it up, the system prompts conflict, the memory gets polluted, the tools overlap. 6 months later the agent is doing weird things and nobody knows why lol.

17. Met a few people who carry two phones now. One for personal. One that's basically an agent terminal running Telegram or iMessage connections to their agent fleet.

It's always amazing to get that dose of inspiration in SF. I FEEL INSPIRED.

But I'm so happy to be back home, locked in and building.

We're 12-18 months into a shift that will take 15 years to play out. The urgency in every conversation was real.

What an incredible time to be building.

[Vladimir Dimchev @vdimchev]

How to solve any problem https://t.co/FW8aLuFkyI

by @george__mack

[Vladimir Dimchev @vdimchev]

💓🇧🇬

[Ihtesham Ali @ihtesham2005]

Two Bulgarian friends killed the entire streaming industry.

It's called Stremio + Torrentio. You get 4K content from Netflix, Disney+, Hulu, and HBO Max combined for free.

Here's how it works.

Stremio is the player. Clean interface. Works on Windows, macOS, Linux, Android, iOS, and TV. You install it once and it looks like any other streaming app.

Torrentio is the addon. You add it to Stremio in one click. It scrapes content from every major torrent provider on the internet simultaneously and delivers the best available stream directly to your player. 720p, 1080p, 4K. You pick the quality. It finds the link.

→ No account required
→ No subscription
→ Works on every device
→ 4K and HDR supported
→ Subtitles built in

Netflix cannot shut this down. There is no central server to seize. No company to pressure. No domain to kill. It runs on your device and pulls from the open internet.

The entire streaming industry is built on one assumption. That you will keep paying $70/month rather than spend 5 minutes on GitHub.

That assumption just died in Sofia, Bulgaria.

MIT License. 100% Opensource.

https://t.co/yEljDh5DQy

Get the addon here: https://t.co/XhpPDERP2i

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[Vladimir Dimchev @vdimchev]

What is ignored by the media -- but studied by historians? https://t.co/Bv7O8AMIjq

by @george__mack

[Vladimir Dimchev @vdimchev]

4⃣2⃣😂

[Alan Couzens @Alan_Couzens]

We’re moving towards a Hitchhiker’s Guide to the Galaxy moment in health and fitness tech:

AI models.
Wearables.
Continuous glucose.
HRV.
Lactate.
Sleep tracking.
Readiness scores.

Infinite computation searching for *the answer*.

Only for Deep Thought to finally reply...

“Move more.”

[Vladimir Dimchev @vdimchev]

@Alan_Couzens What about from a longevity / general health perspective?

[Vladimir Dimchev @vdimchev]

@BgProfil Не съвсем, по-точно има нюанси. С филтърните кафета и dripper-ите няма проблем, щото филтъра обира мазнината. С еспресото е малък, щото extraction time-а е малък. С френската преса има проблем.

[Alan Couzens @Alan_Couzens]

A warm welcome to the new followers 👋

Thanks for hitting the "follow" button 🙏

If you’re here, you probably care about improving your CV fitness &/or getting better at endurance sport - without the noise.

I’m Alan Couzens:
Coach.
Exercise physiologist.
Builder of things that try to make coaching scale.

For the last ~30 years I’ve worked with everyone from beginners → World Champions, mostly focused on one question:

What actually makes athletes fitter and faster in the long-term?

A few things you’ll hear me talk about a lot:

→ "Real" fitness is slow and laggy. If you can see it, it's not lasting.
→ Most athletes sabotage themselves by mixing volume + intensity too early
→ Easy training is a skill (and most people do it wrong)
→ More training isn't the goal. More fitness is.

I write deeper dives here in my online book (models, case studies, practical takeaways):
👉 https://t.co/CYgd4hQXTA
And we get into the weeds here with athletes & coaches:
👉 https://t.co/DqbWZ56ui8

If you're ready to think about training a little differently - Welcome!

[Vladimir Dimchev @vdimchev]

https://t.co/k7RlkROh3y

[Vladimir Dimchev @vdimchev]

🤔

[Students For Liberty @sfliberty]

Four months after George Orwell published 1984, his former teacher sent him a letter.

Aldous Huxley had one message: you described the wrong dystopia. 🧵

[Gergely Orosz @GergelyOrosz]

There is massive irony in how AI coding tools are starting to become TOO expensive for many enterprises - after eg Anthropic removed subsidizing AI subscriptions.

We might go from "everyone use AI for everything!" to "you have $300/month AI budget; use your brain for the rest."

[Joni Askola @joni_askola]

1/6 Look at the absolute disaster unfolding right now, and remember exactly who told you to vote for Trump in 2024.

The people who sold you this catastrophe should be discredited forever, and you should never listen to their political advice again🧵