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Remote Teams That Outperform In-Office
AI is Changing How We Hire Engineers
Hiring strategies, LATAM talent trends, and engineering leadership — from people who do this every day.
Why slow hiring loses candidates: the best are off the market in ~10 days, but the average process takes 30-45. The math, and how to fix it.
Parkinson's Law: work expands to fill the time available. Why generous deadlines make software slower, and how to use tighter timeboxes well.
Code churn predicts defects: Microsoft's Nagappan & Ball found relative churn predicts fault-prone code with 89% accuracy. How to use it.
Innovation time: 3M's 15% and Google's 20% show structured slack drives real products. Why, when it works, and the honest caveats.
The technical debt quadrant: Martin Fowler splits debt into deliberate vs inadvertent and prudent vs reckless. Which kinds to take on, and which to avoid.
Sleep and engineering performance: research shows 17-19 hours awake impairs you like a 0.05% BAC. Why crunch and sleep debt are a code-quality risk.
Error budgets and SLOs: Google's SRE approach turns reliability into a budget you can spend, ending the features-vs-uptime fight. How it works.
Choose boring technology: Dan McKinley's idea that every team has ~3 innovation tokens. Why spending them on novel infra usually backfires.
Chesterton's Fence in engineering: understand why code exists before you delete it. The principle that saves you from removing load-bearing weirdness.
The SPACE framework: developer productivity can't be captured in one metric. The five dimensions to measure instead, from Nicole Forsgren's research.
The sunk-cost fallacy: 'we've already invested so much' keeps doomed projects alive. The research, and the one question that cuts through it.
Conway's Law: a Harvard study confirmed that products mirror the org that builds them. Why your team structure is really an architecture choice.
It starts with a single call. 72 hours later, you're reviewing scored candidates who already match your stack and culture.