Tag: cases
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A fool with a tool is still a fool, AI burgers edition
Beyond Detection Engineering: Building Security Engineering at Scale AI is only as useful as the engineering foundation around it. If the data isn’t normalized or the documentation doesn’t exist, the model has little context to work from. Instead of asking, “What can AI do?” we started asking, “What engineering work can AI help us do…
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A platform for normie AI developers
Summarized by AI. This is a CTO’s ninety-day report on a program he runs, given at a platform engineering conference, and it’s the rare one where the interesting part is the architecture rather than the number. SIXT’s problem was the long tail: thousands of small, country-specific process problems that no engineering roadmap would ever fund.…
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Inside OpenAI’s agentic software factory
We’re talking about roughly a 10x increase in load on some systems. At most companies, that kind of growth might happen over two or three years. At OpenAI, we see it in about six months. 🔗 Inside OpenAI’s agentic software factory
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Reorganizing the dev teams at Visa to take advantage of AI
When you speed up the SDLC process, you should collapse silo’ed teams into one team to prevent human bottlenecks based on handoffs. Here’s that at Visa: As a result of the unlocks we can realize with this new tooling, we are re-forming our product development teams that used to be 10 or more into smaller…
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Tokenomics – how AT&T burns through a trillion+ tokens a month (and rising), but still manages to drive down enterprise costs through ‘moneyballing’
He argues that industry research shows AI agents generate up to 450% more total traffic per task than a human performing the same work. That means that agentic adoption is projected to drive approximately 9x growth in enterprise traffic and approximately 7x growth in consumer traffic by 2035. 🔗 Tokenomics – how AT&T burns through…
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private AI in banking
Developing the secure data layers needed for large language model (LLM) use cases. Because its AI compute and data storage operate within the same strict perimeter, the credit union can confidently leverage highly sensitive member data. This makes Retrieval-Augmented Generation (RAG) easy to implement while keeping member information completely isolated from public APIs. 🔗 USSFCU…
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From the school of culture eats technology for breakfast
Yes: The environments capable of creating meaningful change are almost always the ones that shorten the distance between assumption and evidence – ensuring that learning happens before institutions become too committed to decisions that are difficult to reverse. But: The question has never really been whether governments need experimentation. It is whether they are willing…
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Stop Building Innovation Labs
Yes: The environments capable of creating meaningful change are almost always the ones that shorten the distance between assumption and evidence – ensuring that learning happens before institutions become too committed to decisions that are difficult to reverse. But: The question has never really been whether governments need experimentation. It is whether they are willing…


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