Thoughts, tutorials, and learnings from my journey in tech.
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AI collapsed the cost of building an MVP and did nothing to lower the risk of building something nobody needs. The expensive mistake was never the code.
The only thing worth anything in your software is what happens when the CPU runs it. The source code never had value to the end user, and AI made that impossible to ignore.
Coding with AI is like driving a race car. Too fast for anyone who doesn't know the track. The problem was never the car.
Reinventing the wheel is a valid learning strategy, and the friction you feel while doing it is the learning itself.
Most teams treat an MVP as a small product. It isn't. It's a scientific experiment designed to reduce uncertainty, and confusing the two is expensive.
A simple simulation of a systolic array using SIMD operations in Rust to speed up matrix multiplication.
A guide on how to use the Zettelkasten system to build a large knowledge base and produce meaningful work.
