Published on Built In
Richard Ewing's articles on Built In - the leading platform for startup and tech company culture, covering engineering team economics, developer productivity, and scaling strategies.
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How Does Meta’s Muse Code Compare to Other AI Coding Tools?
Evaluating Meta Muse Code against Cursor, Claude Code, and Google Antigravity reveals why multi-agent concurrency breaks down at the runtime layer, and why making failure cheap matters more than autocomplete speed.
Your AI Agent Needs a Kill Switch
The common approach to AI agent security is based on guardrails that amount to guesses. A real security program needs rigid rules, not probabilistic predictions.
Revenue Per Engineer: The Metric Your Board Should Track
Why APER is the missing link between engineering investment and business results. How top companies measure engineering productivity.
The True Cost of a Bad Hire in Engineering
Quantifying the total cost of a mis-hire in engineering: salary, onboarding, ramp time, team disruption, and the technical debt they leave behind.
Why Your Engineering Team Is Slower Than You Think
The maintenance load trap: how invisible infrastructure work consumes 40-80% of engineering capacity. How to measure and reclaim wasted velocity.
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