Featured · AI & ML 8 min read
Why your AI pilot worked — and your production system didn't
The gap between promising AI experiments and reliable enterprise systems isn't closed by bigger models. It's closed by MLOps.
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Field notes from the agentic frontier.
Practical writing from our engineers and architects on building AI-first, cloud-native systems.
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8 ARTICLES Cloud 7 min read
Your cloud migration succeeded. So why isn't it paying off?
A pragmatic look at why AWS keeps winning the enterprise — and how to extract the competitive advantage most migrations leave on the table.
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Driving digital transformation with Microsoft Azure
When Azure is the right choice — and how to get more out of it than a hosting bill.
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You've done DevOps. So why are you still shipping slowly?
The labels don't matter. The operating model does. A practical view on what actually ships software faster — and why most teams still get it wrong.
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Cutting your cloud bill is easy. Cutting it while improving performance is the actual job.
A migration is a single event. Optimisation is a discipline. What the best cloud programmes do differently — and why most leave value on the table.
Read article Agentic AI 9 min read
The model is the easy part. Here's what actually makes an enterprise AI agent work.
What actually goes into a production agent — beyond the prompt, beyond the model, beyond the demo.
Read article AI & ML 7 min read
RAG isn't the answer — what comes after retrieval
Retrieval-augmented generation was the first chapter. The next chapter is knowledge orchestration.
Read article Development 7 min read
There's a graveyard at every large company. It's full of internal platforms nobody used.
Most internal platforms fail. The ones that don't share a small number of stubborn principles — and they all start with the same uncomfortable truth.
Read article Development 6 min read
Typed everything: our bet on strict types across the stack
Why we made strict typing non-negotiable — and how it pays off across infrastructure, agents, and APIs.
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