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For decades, application developers lived comfortably with a simple mental model of hardware. You write clean object-oriented code, and the compiler optimization passes along with...
Which apps do you use throughout your day? Maybe you manage your projects on Trello, use Notion as an internal docs site, and maybe, just maybe, you do some swiping on Tinder durin...
Originally appeared on Noteflakes.I’ve always been interested in the design of ORMs - I wanted to know how they work, what the different approaches are, and how they can be used. I...
When agents answer the questions, they can maintain the data model. Here is what that demands from the orchestration engine.
AI has removed the typing from software engineering & left the system design. DHH told Rails World that writing code by hand is no longer economically productive ; Artemis engi...
Originally appeared on Code Otaku.An Open Source Progress Report about safer IO::Buffer ownership, bounded content parsing, structured URLs, protocol-native applications, and worke...
Unit testing business logic often requires surprisingly little business data. Suppose we want to test a program that loads an order, calculates its total, and rejects it when the a...
Columnar engines naturally organize computation around vectors to make effective use of single instruction, multiple data (SIMD) instructions. This makes vectors first-class citize...
If there’s one place where apps quietly fall apart, it’s the data layer.Continue reading on Medium »
A Field guide for data leaders
<p class="wp-block-paragraph"><em><strong>Preface: </strong>This week I had the pleasure of updating several data path related visuals at work. Wh...
Designers should understand code the way an architect understands stone: what it can do, not how to cut it. AI now does the cutting.The same card in the design file and in the brow...
Explores the contrast between organic 'growing' of software via vibe-coding and deterministic 'designing' via state machines and formal verification.
Vacation time! You book your flight. You have a reservation. It's real. You paid for it. And yet, when you open the airline's app to look at it, it's surprisingly elusive. You don'...
Bounded generation: Let AI choose within a space where a deterministic engine guarantees validity. Most attempts to put AI into design tooling adopt a generate-then-fix flow: the m...
Remember when Enterprise Architecture (EA) was mostly about static diagrams and thick binders? It was a world of manual data entry, where Enterprise Architects painstakingly mapped...
Anyone who has tried to build a small, realistic test database from a production schema knows the drill: you don't just want "all orders." You want a customer's orders, their order...
One of the easiest mistakes in a recharge platform is assuming that every product can be represented as: amount = 10 currency = GBP That works beautifully until the catalo...
Originally appeared on Josh Software.This is a story about a form that validated itself, not because the schema was hardcoded, but because we built it at runtime. I was working on...
When I work with Claude or Codex, I often discuss software architecture with them. I’ve noticed a recurring pattern: both are quick to suggest designs that are more complex than th...
For the past two decades, most enterprise data engineering systems have been built on one default assumption: People understand the system. The system executes the pipeline. Engine...
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Lots of organizations are excited about what AI can do to streamline their processes, save money, and juice margins. But AI's capabilities are founded on the data that...
The write side of the ontology conversation: named actions, business rules, and write-back to the systems of record — a pattern already running at enterprise scale.
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