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Artificial Intelligence|Sep 30, 2026

Who needs documentation anyway in the era of AI?

When software engineering emerged in the mid-20th century, shaped by pioneers such as Alan Turing, John von Neumann, Grace Hopper, Edsger Dijkstra, and later Fred Brooks, software was largely about logic, mathematics, and precise instructions for a machine. Programs were smaller, the gap between the implementation and the knowledge required to understand was relatively short, and much of the truth about a system could be found directly in its source code. The code was the documentation.

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Artificial Intelligence|Sep 30, 2026

OWASP AISVS 1.0 - Practical Look at the New AI Security Standard

Not so long ago, I wrote an article about OWASP ASVS 5.0 (a comprehensive security checklist aiming for web applications). I mentioned there that AI security was intentionally left outside of its scope. There is now a brand new OWASP document specifically for filling this gap: AISVS. I've looked at this standard. Is it actually helpful when building an AI-enabled system?

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Business insights|Sep 21, 2026

8 Production Use Cases of Canton Network in Financial Markets

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.

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Business insights|Sep 14, 2026

Q&A - We Answer the Most Frequently Asked Questions About Canton Network

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.

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Artificial Intelligence|Sep 7, 2026

Shadow AI Is Already in Your Codebase - Why Banking Needs a Risk-Based Governance Model for AI-Native SDLC

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.

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Artificial Intelligence|Sep 2, 2026

Why AI-Native Software Delivery Needs More Than a Better Model

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.

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Artificial Intelligence|Sep 2, 2026

When AI Writes the Code, What Runs the SDLC?

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.

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Software Development|Jul 23, 2026

Mastering Daml: A Guide to Smart Contracts on the Canton Network

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.

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Artificial Intelligence|Jul 1, 2026

AI Must-Read for June 2026: Top Trends that Keep Great Engineers Ahead

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.

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Artificial Intelligence|Jun 26, 2026

Diffusion models quantization benchmark

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.

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Business insights|Jun 23, 2026

Canton Network Through a Distributed Systems Lens

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.

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Software Development|Jun 4, 2026

Why Tooling Engineers Think Differently

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.

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