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June 9, 2026

Apple Stopped Building Its Own AI and Took It from Google. The Build vs Buy Lesson Most CTOs Would Rather Not Hear

For years Apple built its story around a simple idea: we control everything. The chip, the operating system, the screen, the store, even the way the product reaches the customer. Then, at yesterday's WWDC keynote, the most integrated company in the industry confirmed a choice that would have sounded almost out of character not long ago: for a central part of its artificial intelligence, it will use models built by someone else.

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May 21, 2026

AI for Document Workflows: How We're Leading the Transformation

In the evolving landscape of document workflows in 2026, document automation increasingly relies on AI and large language models (LLMs) to enhance the orchestration of business processes. According to an article by IBML trends-in-document-automation-for-2026, integrating AI allows for intelligent automation that optimises operations across various industries.

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May 8, 2026

Managing React Native Maintenance: Tackling Developer Departures in Small Teams

A large company had only one in-house React Native developer. When he left, the app ground to a halt. No one in the company could handle the code. They called us, we took over the project, and brought it to the store submission stage. Nothing heroic. It's what we do.

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May 8, 2026

You've Built a Functional Management System. You Haven't Built a SaaS. They're Two Different Products.

We met with a client who was convinced they had already 70% of the work done. They had a robust management system, used internally for three years. We spent the first hour explaining why that 70% was the easy part.

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May 6, 2026

The Vibe Coder is the Problem, Not the Solution. And They Will Never Work With Us.

At Worksdem, we hold a very clear stance on vibe coding. We do not adopt this methodology for several reasons primarily concerned with the security and long-term sustainability of our projects.

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May 5, 2026

We Deployed an AI Agent to Production. The Hard Part Wasn't the AI.

Deploying an AI agent for a client taught us more about organisational challenges than about the technology itself. The first agent we deployed functioned flawlessly in staging. Once in production, it began making decisions that were technically correct but operationally disastrous. No one had defined the boundaries of what it could do autonomously. This led us to deeply reconsider our approach to governance and oversight.

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