Martin Alderson

Martin Alderson

Cofounder at catchmetrics.io.

I write about the intersection of software engineering and economics, with a focus on the AI transformation. I've worked on dozens of enterprise software projects and enjoy the balance between commercial success and pragmatic technical excellence.

"A lot of great/interesting reading, thank you!"

Andrej Karpathy, OpenAI co-founder

Latest

Using agents and Wine to move off Windows

How I used Claude Code to fix Linux desktop issues, get 'garbage'-rated Windows apps working in Wine, and what it means for software ecosystems
Why Claude's new 1M context length is a big deal

Anthropic's 1M token context window on Opus 4.6 and Sonnet 4.6 is a genuine breakthrough - and they're not even charging more for it.

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How to use the Qwen 3.5 LLMs to OCR documents

Using Qwen 3.5 open weights models to OCR scanned PDFs - locally on consumer hardware or via OpenRouter for pennies
No, it doesn't cost Anthropic $5k per Claude Code user

The viral claim that Anthropic loses $5,000 per Claude Code subscriber doesn't survive basic scrutiny. Let's do the actual maths.

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Most Read

Which web frameworks are most token-efficient for AI agents?

I benchmarked 19 web frameworks on how efficiently an AI coding agent can build and extend the same app. Minimal frameworks cost up to 2.9x fewer tokens than full-featured ones.

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Wall Street just lost $285 billion because of 13 markdown files

Anthropic's 'legal tool' that triggered a $285bn selloff is 156KB of markdown. The panic reveals a hard truth about the future of software.

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Two kinds of AI users are emerging. The gap between them is astonishing.

A bifurcation is happening in AI adoption - power users shipping products in days versus everyone else generating meeting agendas. Enterprise tool choices are accelerating the divide.

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The Coming AI Compute Crunch

Why DRAM shortages, not capital, will define AI infrastructure growth through 2027

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Which programming languages are most token-efficient?

Comparing token efficiency across 19 popular programming languages using RosettaCode data - from Clojure to C, there's a 2.6x difference.

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