VirtusLab

The models are selected. The budget is spent. What didn't happen: anyone checked the data underneath. Thursday @Techweek_ — two talks on what we've seen across dozens of enterprise environments. No pitches. Just the real picture. hubs.ly/Q04fMBBZ0

AI doesn’t work or the surrounding system is simply not ready yet? Find out at our event during @Techweek_ NY on 2 June! partiful.com/e/bn5h1g13xzOV… meet Tomek Orzechowski and @ArturSkowronski and exchange ideas on AI in engineering.

"Insurance carriers now recognise the technology debt and are looking for a credible path forward. They understand that what separates the firms that make a real progress is solid data and infrastructure foundation, one that can support both organic growth and M&A without breaking." Join Bartek and other experts for a discussion: hubs.ly/Q04gcQLB0 #InsurTech #InsurtechInsights #AIinInsurance

"Most AI pilots in insurance do not fail because of the model. They fail because of siloed data, unstable access controls and formats built for humans, not for systems. The question is whether carriers will fix it before the next growth opportunity, or after they have already missed it." Join Peter and other experts for a discussion: hubs.ly/Q04gdsSH0 #InsurTech #AIinInsurance #NYTechWeek #MGA

Artur spent the last year shipping AI-assisted code across enterprise clients and writing about what he learned. Not the hype. The actual patterns. What works at team scale, what creates new debt, and what you need to think about before your whole codebase has a co-author. Then, together with Tomasz Lelek he put that in a book called "Vibe Engineering". You can read a summary of his book here: hubs.ly/Q04grrzx0 #AI #SoftwareEngineering #EnterpriseAI #VibeCoding

There's a version of every AI implementation in the architecture doc. Then there's what actually happened. Thursday @Techweek_ — real decisions, real tradeoffs, what broke, what held. No fluff, no whitepaper copy. hubs.ly/Q04fN5RG0

We are coming to GeeCON 2026! May 14-15 in Kraków, and we'll be there with a joint booth with SoftwareMill, talks, and plenty of good conversations. Catch our speakers: • @ArturSkowronski: "Gemini Plays Final Fantasy: Practical lessons in creating Agentic Harness" • @adamwarski: "Concurrency testing on the JVM" Stop by our booth and say hi to Karolina Buraś, Sylwia Gracz, and the rest of the VL crew. We'll be around both days. See you there! ;) #GeeCON2026 #VirtusLab #SoftwareMill #Java #JVM #AI #LLM

How do you write a book on AI when the field moves faster than the publishing timeline? Artur and Tomasz will answer that at our #NYTechWeek panel on June 2nd, courtesy of @Techweek_ and @ManningBooks. Plus the engineering patterns that actually hold up. partiful.com/e/M7pXmV8sOXT1…

Most data systems are built around what's technically convenient, then mapped to business needs as an afterthought. @Techweek_, Grzegorz Król flips that — business-first, architecture second. A concrete readiness assessment. No vendor pitch. hubs.ly/Q04d-Jl30

Most orgs know their data environment is broken — they just can't tell you which layer or what fixing it costs. This Thursday @Techweek_, Grzegorz Król walks through a 10-layer readiness model built across dozens of enterprises. Leave with a real score. hubs.ly/Q04dVBwF0

If you are a senior leader in insurance thinking seriously about what comes after the AI hype cycle, we would like to sit across the table from you. Details here: partiful.com/e/7YHD19kDNMhk… #NYTechWeek #InsurTech #InsurtechInsights @Techweek_

Orgs arrive at AI thinking their data is "mostly in order." Layer by layer, it almost never is. @Techweek_, Grzegorz Król walks through 10 layers where the gap between assumed and actual state hides. Bring your real situation. hubs.ly/Q04d_Zqr0

AI was supposed to massively boost engineering productivity. So why are so many teams quietly scaling it back? Something doesn’t add up. June 2, NYC, @Techweek_ A closer look at what’s really happening inside AI-driven SDLCs. partiful.com/e/bn5h1g13xzOV… #NYTechWeek #AI #DevTools #AI #SDLC