Sergey Kozlovskiy

Marketing @JetBrains

[Eoghan McCabe @eoghan]

We’re excited to share that we just signed an agreement for @salesforce to acquire @fin_ai for ~$3.6B. The transaction is expected to close in the fourth quarter of Salesforce’s fiscal year 2027.

Fin started as Intercom 15 years ago. We changed our name to cap our transformation just weeks ago. We were a darling of the SaaS era and invented so many of the patterns you see in software today. Nearly four years ago, in need of a reboot, we jumped on weeks-old modern LLMs to create and define the category we know as Customer Agents today.

Salesforce invented modern software and SaaS. And @benioff is like the final boss of tech founder CEOs. In seat for 27 years, he’s one of the last of his era. Still pushing, pivoting, placing big bets. It’s a privilege for @destraynor and I to get to partner with him and join forces with Salesforce upon close at this most fascinating time. And will be very fun to get their help bringing Fin to magnitudes more consumers.

To our customers: Over the past few years we’ve been shipping intensely. Including recently our groundbreaking model, Apex, and our paradigm-defining internal agent, Operator. With the resources of Salesforce this will only accelerate. And yet little will practically change. I’ll still be CEO, Des will still be running R&D, we’ll both still be committed to continuing to lead this category. Thank you very sincerely and deeply for your belief in us.

To all of our friends, our families, and our employees, past and present: While this is not the end, it is a major, pivotal, special, and emotional moment for us. From the bottom of our hearts, thank you. For everything.

To my cofounders, my exec team: Look what we built. Four young lads with a dream and nothing to lose. And a home grown exec team who pulled off the greatest and arguably only late stage software company pivot to AI, and invented one of the most important categories in AI. Thank you for sticking through all of this with me.

And now, time to get back to work. See you at our next product launch in a couple weeks. (:

[Sergey Kozlovskiy @asspirin12]

@dariogriffo @jetbrains Hi Dario! So sorry about this. You can join now via this link or watch it later on demand. https://t.co/eUuy5RkBMg

[Rohit @heyrohitai]

The creator of Claude Code teaches more about vibe-coding in 30 minutes than most tutorials do in hours.

Save this — it'll change how you build forever.

[Walden @walden_yan]

I see agent builders under-reacting to this and its implications around open source and Mythos. You should prepare for a future where we basically have AGI but its prohibitively slow/expensive.

Agents will look more like fast/cheap models making requests to their "smart friends". We've found this to work especially well with mixing models from OpenAI/Google/Anthropic. But future models will also be trained around this. It's already the direction we're headed with our SWE-series models, which more than just being very smart themselves, will be very fast at doing work while delegating hard decisions to the smartest models.

[Akshay 🚀 @akshay_pachaar]

this is one of the most important ideas in AI right now, and it just got two independent validations.

yesterday, Anthropic shipped an "advisor tool" in the Claude API that lets Sonnet or Haiku consult Opus mid-task, only when the executor needs help.

the benefit is straightforward: you get near Opus-level intelligence on the hard decisions while paying Sonnet or Haiku rates for everything else. frontier reasoning only kicks in when it's actually needed, not on every token.

back in February, UC Berkeley published a paper called "Advisor Models" that trains a small 7B model with RL to generate per-instance advice for a frozen black-box model.

same idea. two very different implementations.

the paper's approach: take Qwen2.5 7B, train it with GRPO to generate natural language advice, and inject that advice into the prompt of a black-box model.

the black-box model never changes. the advisor learns what to say to make it perform better.

GPT-5 scores 31.2% on a tax-filing benchmark. add the trained advisor, it jumps to 53.6%.

on SWE agent tasks, a trained advisor cuts Gemini 3 Pro's steps from 31.7 to 26.3 while keeping the same resolve rate.

training is cheap too. you train with GPT-4o Mini, then swap in GPT-5 at inference. the advisor even transfers across families: a GPT-trained advisor improves Claude 4.5 Sonnet.

Anthropic's advisor tool takes a different path to the same idea. Sonnet runs as executor, handles tools and iteration.

when it hits something it can't resolve, it consults Opus, gets a plan or correction, and continues.

Sonnet with Opus as advisor gained 2.7 points on SWE-bench Multilingual over Sonnet alone, while costing 11.9% less per task.

Haiku with Opus scored 41.2% on BrowseComp, more than double its solo 19.7%.

it's a one-line API change. advisor tokens bill at Opus rates, and the advisor typically generates only 400-700 tokens per call.

blended cost stays well below running Opus end-to-end.

both approaches point at the same thing: you don't need the most powerful model on every token.

you need it at the right moments, for the right inputs.

Paper: https://t.co/KvzlBIL39S
Code: https://t.co/IajPpfafSs

[Generalist @GeneralistAI]

Introducing GEN-1.

Our latest milestone in scaling robot learning.

We believe it to be the first general-purpose AI model to master simple physical tasks.

99% success rates, 3x faster speeds, adapts in real time to unexpected scenarios, w/ only 1 hour of robot data.

More🧵👇

[Sergey Kozlovskiy @asspirin12]

🎉🎉🎉

[JetBrains @jetbrains]

Stop waiting for magic to happen. Choose JetBrains IDEs and make it happen. https://t.co/QOVBuGet5Q

[Sergey Kozlovskiy @asspirin12]

@vaylen_spb @atticus_flinch

[Sergey Kozlovskiy @asspirin12]

https://t.co/Hd6xXgOOsy

[Chris Oldwood @chrisoldwood]

Binary Tree.

#Punvent

[Sergey Kozlovskiy @asspirin12]

👀

[JetBrains @jetbrains]

Our online #JetBrainsAI launch event is coming up!
📅 Mark your calendars: December 6, 5:00 pm (CET) | 8:00 am (PST)
Set a reminder 👉 https://t.co/5OihTT753h

[Pandy Knight @AutomationPanda]

Pointers… #Golang

[Sergey Kozlovskiy @asspirin12]

😄

[Richard Bradshaw @FriendlyTester]

Some of the most creative conference swag I've seen.

Thank you Oose

[Sergey Kozlovskiy @asspirin12]

@eliasnogueira Congratulations!

[Sergey Kozlovskiy @asspirin12]

@eliasnogueira @jetbrains @MaritvanDijk77 @HelenJoScott Hey! Sorry, we can't share any plans now. We hope we won't keep you waiting long. Please bear with us! You can follow @JetBrains_Aqua for product updates or subscribe to blog updates. https://t.co/SY0iKGMQ57

[Sergey Kozlovskiy @asspirin12]

TIL that Jimmy Page's iconic guitar Gibson EDS-1275 doubleneck is still in production. $8k. https://t.co/RapeaXHimn

[Maxim Shafirov @mshafirov]

Indexing, compiling, running tests - having to wait for something to finish before you can proceed sucks. What kills it off the most for you? Small or large, JetBrains' products or else - please share

[Sergey Kozlovskiy @asspirin12]

😍

[IntelliJ IDEA, a JetBrains IDE @intellijidea]

🎉 You can now effortlessly transform Postman collections into HTTP files and use them in the HTTP Client! Find out how in the blog post below. 👇 💻
https://t.co/RhltsyIzDt

[Anastasia Kazakova @anastasiak2512]

JetBrains is looking for a Developer Advocate to help with our C++ Tools (with the main focus on CLion) https://t.co/rZOts8e9OP Interested? Contact us. #cpp #cplusplus

[Sergey Kozlovskiy @asspirin12]

I found the issue that that cost me three hours of debugging. It was an extra dot.