Serious coding with LLMs. Lab notes 2026-10-27: A code audit of LLM-generated code: improving from ‘sludge’ to ‘vakwerk’
The sixth ‘lab note’. I had the code audited. With some helpful scripts and an example from my ‘context harness’
Aggregated enterprise architecture wisdom
The sixth ‘lab note’. I had the code audited. With some helpful scripts and an example from my ‘context harness’
When we talk about sustainability, most of us probably think about environmental sustainability. Reducing carbon emissions, using fewer resources, moving towards a circular economy, and so on. But there is another form of sustainability that deserves more attention: the organizational sustainability.
Can an organization continue to create value when the world around it changes? Can it adapt when customer expectations shift, regulations change, competitors emerge from unexpected places, technologies evolve, or economic and geopolitical circumstances suddenly turn against it? In other words, can the organization remain viable when its environment refuses to stand still?
I believe Enterprise Architecture has an important role to play in answering that question.
The post Organizational Sustainability appeared first on EAWheel.
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The fifth ‘lab note’. This time on ‘tokens’ and the cost of generating them when working with LLM coding. Throttling is happening. Prepare.
Before large language models (LLMs) can process text, they split it into chunks such as words or word fragments. The LLM behind ChatGPT, for example, splits “LMU München” into the three chunks “LM”, “U” and […]
For the sixth consecutive year, Ardoq has been named a Leader in the Gartner® Magic Quadrant™ for Enterprise Architecture Tools. That’s every year since we first appeared in the report in 2021.
The University of Colorado Boulder has appointed Todd Shechter as vice chancellor for information technology, effective Nov. 16, following a national search. Shechter, who has served as chief technology officer at the University of Wisconsin-Madison […]
One customer’s first AI prompt was four words, and the answer wasn’t usable. Weeks later, they called the same product the foundation of their platform. What changed? Chris Gallivan explains how context, reusable prompts, and real conversation turn AI from a feature you switch on into a capability you build.
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