Large financial institutions use the public Canton Network in live systems that process hundreds of billions of dollars every day. Here are 8 distinct production use cases from financial markets — covering short-term lending, securities lending, trading, payments, and digital ownership records.
The most frequently asked questions about the Canton Network — answered by VirtusLab engineers who have worked alongside Digital Asset for over five years building the core Canton infrastructure.
Most of the AI-generated code already in your codebase arrived through unsanctioned tools on personal accounts. This is Shadow AI — and like shadow banking before 2008, the risk is invisible until it isn't. Here's how to govern it with risk-based triage, traceability, and Continuous Modernization.
AI tools work. Adoption is above 80%. And yet measurable business value remains stubbornly low. The bottleneck is not the model — it's the software delivery system around it.
A coding agent is not an AI-native SDLC. Visdom provides the control plane — context, orchestration, sandboxing, and auditability — required to turn AI-generated code into software enterprises can trust in production.
Daml is a functional language for writing smart contracts on Canton Network — a distributed ledger built for regulated, multi-party workflows. This guide covers Daml syntax, templates, choices, testing with Daml Script, and local debugging tools.
A monthly reading roundup - no chasing every model, no top-50 lists, no marketing. One thread running through it all: the best model on the planet can be switched off on a Friday afternoon, so the real asset is what you build around it. You lease the model, but the process is yours.
Diffusion models became de facto standard in image generation. While remarkably powerful, they rely on a multi-step process of iterative denoising, which takes time. Text generation is also processed in a sequential manner, however the text can be streamed and visualized token by token, giving a natural, real-time feeling, similar to how humans read or write a text. With images, we must wait for the final denoising step to complete before a usable result appears. This makes optimizing diffusion models for speed and efficiency a critical challenge.
Canton Network is becoming increasingly popular in the fintech space. Here is what you need to know as an engineer willing to integrate and build on this distibuted ledger.
Interview with Krzysztof Romanowski, Head of Development Productivity at VirtusLab Software engineering loves process, structure, best practices, and architectural purity. Tooling engineering often lives somewhere else entirely - in edge cases, uncomfortable tradeoffs, and systems that only work because somebody deeply understands how they break. We sat down with Krzysztof Romanowski to talk about why tooling engineers often think very differently from the rest of the industry.
A slightly unsettling realization hit us at VirtusLab not long ago - our collective list of starred GitHub repositories had quietly ballooned into something that could generously be called "a problem." Instead of pretending it wasn't happening, we decided to lean into it: every two weeks, we pick a trending open-source project, pull the hood off, and tell you what we find underneath. We focus on fresh, relatively unknown repos - not the usual suspects that everybody and their tech newsletter already covered (because let's be honest, you don't need us for that).
For years, the industry moved away from monorepos toward microservices and smaller repositories. Recently, however, the conversation has started to shift again - and AI may be one of the reasons. As AI tools become part of everyday development workflows, the way engineers interact with large codebases is changing. Piotr Kukiełka shares his perspective on how large codebases work in practice and why AI might influence how companies think about monorepos.
