Startup Metrics Theater: Vanity vs Value
Vanity metrics like DAU and total downloads create illusions of progress while hiding real problems....
C Was the Last Good Language
Why modern languages prioritize developer experience over runtime efficiency. The trade-offs we accepted and forgot. Where Rust tries to have it both ways....
What Text Adventures Taught Me About Software
How text adventure games like Zork shaped my understanding of software design, interface thinking, and the power of constraints to fuel creativity....
Remote Work Made Us Worse
Remote work traded visible costs for invisible ones. Knowledge transfer, mentorship, and collaboration all suffered....
Why Multimodal AI Is Massively Overhyped
Multimodal AI sits at peak hype on Gartner's 2025 cycle. But 80% of pilots fail to scale beyond testing....
Why I Spent $0 on Patents for 20 Years - Then Filed Everything
When patents matter (defensive portfolios, M&A leverage, licensing revenue) and when they're a distraction....
Serverless Done Right
Serverless done right is small, stateless, and boring. The pattern that survives traffic spikes without burning your AWS bill or your team....
Your Users Don't Care About Your Architecture
The graveyard is full of startups with beautiful architecture and zero traction. 70% of failed startups scaled prematurely....
Why Technical Interviews Test the Wrong Thing
Technical interviews optimize for competitive coding skills that rarely matter in actual work. What we should test instead - and how hiring could improve....
Mutation Testing Primer: Finding Real Bugs
Mutation testing answers what coverage can't: do your tests actually catch bugs? Learn how to use mutation testing tools to find the gaps in your test suite....
The Layer Tax: Every Abstraction Has a Price
Every abstraction layer has a cost. Benchmarks showing the real price of convenience from someone who built fast systems in the 90s and slow ones today....
Why AI Can't Count the R's in Strawberry
LLMs confidently say strawberry has two R's because they've never seen letters—only tokens. This tokenization blindness predicts where AI will fail....
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