Thank you, New York City! 🗽🇺🇸

Our Visdom Tour across the US is drawing to a close, and NYC was an incredible stop along the way.

A huge thank you to everyone who joined us, shared their ideas, and made this visit so special. The conversations and connections we made here will the tour is over.

Stay tuned for a recap of the whole journey!

In the meantime, take a look at our latest insights: hubs.ly/Q04D71Vl0

#VisdomTour #Visdom
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🚀 We’re officially partnering with the Agentic AI Foundation!

VirtusLab has joined AAIF as a Silver Member.

AAIF is a neutral, open foundation under the Linux Foundation, home to key standards for AI agents including MCP, A2A and hubs.ly/Q04D4g_H0.

For 15+ years we’ve evelopers’ work easier. Now AI agents are joining engineering teams, and they need the same things: good context, reliable tools and fast feedback.

We build infrastructure for agents to ship.

This is where #Visdom comes in. It’s our composable platform for running AI-native software delivery and the foundation for your autonomous AI Software Factory. With Visdom, enterprises can adopt AI coding agents safely and at scale, with any agent, on open standards.

Joining AAIF lets us help shape those standards, drawing on what we’ve learned from AI agents in real projects. For our clients, that means they can switch AI tools without starting over, while every AI-made change is checked and traceable before it goes live.

Thank you to the Agentic AI Foundation. This is just the beginning of a great collaboration and an exciting journey!

🔗hubs.ly/Q04D4hqd0

#AgenticAI #MCP #DeveloperExperience #Visdom
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For agents that make it out of the swamp 🕯️

21:13. Your AI agent gets one job.

First, the data swamp: six tables look the same. Which one is right? Is the agent even allowed to use it?

Then the pipeline: code written in two minutes waits days for CI, review, security and sn’t the agent. It’s everything around it.

Visdom is the missing layer between AI coding and production: the right context, a risk check on every change before CI, and safe delivery.

See it live in New York: Mon, Nov 2, 6-9 PM, 307 W 38th St. Live demos & Q&A.

Register: (hubs.ly/Q04CYfC-0)

Thank you, #Visdom!
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Groundhog Night: a developer horror story 🎃

Change one line of code. Wait 12 minutes for tests. Repeat. All day.

For a team of 200 engineers making 20 changes a day, that’s 800 hours of waiting, or 100 workdays lost every single day. You’re paying for that time, and getting is simple: reuse work that’s already done and test only what changed.

The result in VirtusLab client projects: 4x faster builds and 3.3x lower CI costs. Your team ships faster, and you spend less doing it.

Stuck in the loop? Let’s check → hubs.ly/Q04CTY4z0

Happy Halloween! 👻

#DX
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Looking for a Linux internals geek who writes great Python

We’re building an LLM sandbox on Nix + low-level Linux. Remote (EU), B2B 140–185 PLN net/h.

Ever traced a weird syscall to see what’s going on? Let’s talk 👇
hubs.ly/Q04CS2qF0

#EB #Linux #NixOS #Python #Hiring
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Full room at the talk. Full room at the workshop. 🔥

Thank you, Austin! 🤠 Data agents you can trust + AI code that actually ships to production, live on stage at #AustinTechWeek.

Next up: Happy Hour at Bull & Bowl.

Come join us!

hubs.ly/Q04CQvm10

#Visdom #VisdomTour
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🚨 Your AI is giving you outdated Bazel advice.

Bazel changes fast. AI tools learned from old answers, so they often suggest things that no longer work. You follow the advice, and your build fails.

So we built the Bazel Knowledge Hub:
✅ Learn Bazel at your level, from basics nto your AI agent so it gives up-to-date answers
✅ Based on 15+ years of experience and 100 projects

👉 Check out the Bazel Knowledge Hub! hubs.ly/Q04CNnFR0

#Bazel #AI #DevTools #DX
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🇺🇸 Austin, it’s today. 🤠 Two sessions, one problem every AI team hits: agents that can’t trust their data, and code you can’t trust in production.
We’re fixing both at Austin Tech Week, with real projects, not only slides.

📍 STATION Austin, 701 Brazos Street

🎤 11:00–11:45 AM From a Data Swamp to a Data Agent You Can Trust, by Grzegorz Król

🛠️ 1:00–3:00 PM | Floor 16 | Hands-on workshop From AI Coding to Production, by Artur Skowroński, with a live game build & debug 👾

Our stand is open all day. Come say hi to Tomasz Orzechowski and Michał Ogrodnik from VirtusLab!

🤖 AI Track, sponsored by VirtusLab & Partly 🎳
Then join us for Happy Hour at Bull & Bowl, sponsored by VirtusLab & Michael Best

⚠️ Seats are first come, first served. Come early!

👉 hubs.ly/Q04CMfxs0

#AustinTechWeek #VisdomTour #Visdom
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Looking for a Linux internals geek who writes great Python.

We’re building an LLM sandbox on Nix + low-level Linux. Remote (EU), B2B 140–185 PLN/h.

Ever traced a weird syscall to see what’s going on? Let’s talk 👇
hubs.ly/Q04CKj7M0

#EB #Linux #NixOS #Python #Hiring
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🚀 12 months of AI-powered delivery. 12 hard-won lessons. One evening in Zurich. 🇨🇭

AI agents now read issues, pull dependencies, run tests and push code. The question is no longer whether to use them. It's how to restructure delivery, secure the pipeline and make your data agents to act on.

On 10 December, 4 practitioners who've already done it share what worked and what didn't:

🔹 @Artur Skowroński (Head of Application Development, VirtusLab): AI-Native SDLC in 12 Lessons: 2026, Month by Month
🔹 @Fulco Houkes (former VP of Engineering, Bottomline Technologies): Securing the SDLC by Design and Architecture
🔹 @Grzegorz Król (Data Architect / Tech Lead, VirtusLab): From a Data Swamp to a Data Agent You Can Trust
🔹 @Jérémie Geus (Head of Software Delivery, Medgate): AI at Medgate in Software Delivery

After the talks: networking and time to swap notes with peers facing the same challenges.

👥 Who it's for: CTOs, VPs of Engineering and tech leaders figuring out what AI-assisted development means for their teams, delivery pipelines and risk profile.

📍 Headsquarter – The Artistic, Zürich
📅 Thu, 10 Dec · 4:00-8:00 PM

Seats are limited and registration requires approval, so save your spot early 👇
hubs.ly/Q04CG0RJ0

#AI #SDLC #Visdom
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A maintainer approved the PR. Within a month, users reported two bugs it introduced.

Radosław Kłos tested a “council” of AI reviewers on the same PR: several agents, each with one narrow job. They saw only what was available on merge day. In all three runs, they flagged both k:
→ Each agent gets one job, not a personality.
→ Agents can say “nothing found.” Otherwise they invent issues.
→ Every serious finding gets challenged before anyone sees it.

The cost: ~7x the tokens of a single agent. It’s not worth it for a config tweak, but it may be for auth, migrations, or shared contracts.

Running this on one branch is manageable. Running it on every PR for a whole team is harder, and that’s what we’re building with #Visdom Code Review.

Full setup and experiment in Radek’s article 👇
hubs.ly/Q04CCt4R0

#CodeReview #AI #Visdom #DX
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For nights that end ghost-free. 👻

23:47. Your AI coding agent suggests a package to install.

But that package doesn’t exist. The AI made it up.

Attackers watch for these made-up names. They register them first, hide malicious code inside, and wait for someone to install. It’s This time, Visdom checks every new package before anything gets merged. The fake one gets blocked.

Midnight. Your code is still safe.

Thank you, #Visdom.

🎃 Happy Halloween!
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Learn how investment banks can scale autonomous AI development without creating security vulnerabilities, runaway token costs, or code review bottlenecks - while ensuring full compliance with stringent financial regulations like NIS2 and DORA.

Read the article: hubs.ly/Q04Crl_90

Don't hesitate to follow us for more news, videos, and more.

#finance #banking #sdlc #ai
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Every CI worker took ~15 minutes just to start. And one slow shard could hold up the whole job.

For a global tech company’s main monorepo, VirtusLab is moving CI workloads to Bazel Remote Execution on EngFlow. The migration is still underway, but the results are already here:
st of main PR tests
✅ $3M+ in projected yearly savings
✅ 3× faster post-merge compilation
✅ Tests excluded from RBE: from ~11,000 to under 3,000
✅ 100% of pull requests now run on RBE

How we did it, and what made thousands of tests RBE-ready, is in the full case study 👇

hubs.ly/Q04CcPvl0

#Bazel #RemoteExecution #DX
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“Virtual threads are good for I/O.”

That’s true, but not always. On JDK 25, a simple file read can still block the carrier thread. 🤯

Michał Zyga tested how virtual threads behave in practice. Here’s what he found:

1️⃣ CPU-bound work holds the carrier thread. Virtual threads faster.
2️⃣ http://Thread.sleep() and other parking operations let the virtual thread unmount. This is where virtual threads shine.
3️⃣ File I/O: on JDK 21, ForkJoinPool added a compensating carrier thread. On JDK 25, it doesn’t, so the read just blocks.
4️⃣ Mixing CPU and I/O tasks can starve the I/O tasks.

Takeaway: “I/O” isn’t one thing. Check whether your operation actually unmounts the virtual thread, and keep CPU-heavy work separate.

👉 Full article with code and results: hubs.ly/Q04C7byP0
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26M lines of code. Navigation ready in 8.7 seconds.

At Databricks, Metals v1 had to import the build before search or go-to-definition worked. In a monorepo with 285k Bazel JVM targets, that meant a long wait.

Metals v2 rethinks that: a build-free index, compiler-backed Java, and build integration kept off the startup path. It was developed together by engineers from Databricks and VirtusLab, and it’s open source under Apache 2.0.

What Databricks reported from its production rollout:
- 8.7s median to working navigation
- 7ms median jump-to-definition
- 2.4k engineers on one editor
- 92% weekly-active IDE share for JVM work

The lesson: at scale, don’t just make the slow step faster. Move it out of the way.

👉 The full story: hubs.ly/Q04C0Rtw0

#DX #Scala #DX
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VirtusLab retweeted
🎤 Speaker spotlight: @lukasz_bialy , Scala Developer Advocate at @VirtusLab .

"Making the AI agents safe with Scala": stopping an agent from doing what it must never do, without limiting what it can. Meet CapybaraClaw."

🗓️ Mon Oct 19 · SF · 4 days to go
🎟️ Get your ticket: 2026.scalasummit.com

#Scala #Scala3 #BayAreaScala #SFScala #SanFrancisco #ScalaSummit2026
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VirtusLab retweeted
🎤 Speaker spotlight: @adamwarski , co-founder of @softwaremill, head of R&D at @VirtusLab & creator of Tapir, sttp and Ox.

"Where Scala meets AI": Metals MCP, teaching AI to write better functional Scala & orchestrating agents with Orca, sttp-ai and chimp."

🗓️ Mon Oct 19 · SF · 3 days to 2026.scalasummit.com

#Scala #Scala3 #BayAreaScala #SFScala #SanFrancisco #ScalaSummit2026

cc @sfscala @BayAreaScala
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That's a wrap on @TechCrunch Disrupt 2026. 🚀

Huge shoutout to our team for absolutely crushing the Visdom demos. 👏

Nonstop conversations. A booth that never went quiet. And the same message from founders, investors and engineering leaders alike: they're ready to build est in #Visdom our expectations, and it proved one thing: the future of software isn't written line by line. It's composed.

Compose your AI-native software factory. ⚙️

👉 Missed us at Disrupt? Book your Visdom demo: hubs.ly/Q04BpL180

#TechCrunchDisrupt #Visdom #AInative #AI #AInativesoftwarefactory
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