Martin Alderson
About
I'm Martin, from the UK. I'm cofounder at catchmetrics.io.
I write about web development, AI tooling, performance optimization, and building better software. I also teach workshops on AI development for engineering teams. I've worked on dozens of enterprise software projects and enjoy the intersection between commercial success and pragmatic technical excellence.
I've been quoted in the Financial Times, BBC News, Digiday and many others over the years.
Recent Posts
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How I use Claude Code to manage sysadmin tasks
A practical approach to managing production infrastructure using git-tracked markdown files and Claude Code for small teams
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Could Excel agents unlock $1T in economic value?
Software engineers underestimate the scale of Excel usage. With agents now able to work directly in spreadsheets, we're looking at transforming how billions of dollars in business processes are managed.
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Are we really repeating the telecoms crash with AI datacenters?
Looking at actual token demand growth, infrastructure utilization, and capacity constraints - the economics don't match the 2000s playbook like people assume
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A non-technical CFO is shipping better code than the agencies he hired
A non-technical CFO built a production operations dashboard with Claude Code that had failed with low-code tools and agencies. This shift in who can build software is going to change everything.
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Tracking MCP Server Growth
I built a tracker to monitor the growth of MCP servers in the wild - turns out the ecosystem is growing faster than I expected
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Notes from MCP Dev Summit Europe: Where the Protocol Is Headed
Insights from MCP Dev Summit Europe on agentic discovery, client compatibility challenges, and the emerging field of agentic experience design
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How I make CI/CD (much) faster and cheaper
Why GitHub Actions runners are slow and how bare metal servers can make your CI/CD 2-10x faster while costing 10x less
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Google AI Studio API has been unreliable for the past 2 weeks
Google's Gemini AI Studio API has been suffering from severe reliability issues with little transparency about the problems on their status page.
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What happens when coding agents stop feeling like dialup?
From magical to frustrating in months. Why AI coding agents feel like dial-up internet and what ultra-fast inference could unlock for developer productivity.
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Solving Claude Code's API Blindness with Static Analysis Tools
How to give AI coding assistants complete visibility into APIs and third-party libraries using static analysis instead of basic text search.
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Are OpenAI and Anthropic Really Losing Money on Inference?
Deconstructing the real costs of running AI inference at scale. My napkin math suggests the economics might be far more profitable than commonly claimed.
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I gave Claude Code a folder of tax documents and used it as a professional tax agent
Testing Claude Code beyond software engineering - using it as a tax agent to analyze documents and navigate complex tax scenarios in real-time.
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Beyond the Hype: Real-World MCP Support Across Major AI APIs
Testing Model Context Protocol support across OpenAI, Anthropic, and others. The reality of cross-platform MCP implementation in 2025.
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Welcome to My Blog
Starting a blog about AI-assisted development, MCP integrations, and building production software with modern tooling like Claude Code and Cursor.