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Hiring strategies, LATAM talent trends, and engineering leadership — from people who do this every day.
Postel's Law: be conservative in what you send, liberal in what you accept. Why it built the internet, and why modern engineers now temper it.
Amdahl's Law: the serial fraction of a task caps parallel speedup, so 10% serial work means a 10x ceiling. Why it applies to teams too.
The eight fallacies of distributed computing: false assumptions like 'the network is reliable' that quietly break distributed systems. Why they still bite.
Idempotency and safe retries: why distributed systems double-charge customers, and how an idempotency key makes an operation safe to repeat.
Cache invalidation: caching is the cheapest speedup and the source of the nastiest bugs. The staleness tradeoffs and why it's a senior skill.
Kernighan's Law: debugging is twice as hard as writing code, so maximally clever code is code you can't debug. Why simple wins.
YAGNI: why building presumptive features costs you three times over. Fowler's build, delay, and carry costs, and when to break the rule.
Span of control for engineering managers: guidance lands near 5-10 reports for knowledge work, and engagement drops as spans grow.
Do referral hires perform better? Data shows referrals stay far longer than job-board hires. The ROI, and the homogeneity risk to manage.
The cost of fixing bugs later: Boehm's 100x curve is widely cited and heavily contested. What holds up, and what to do about it.
Most features go unused: Pendo found 56% of features never used and 12% driving 80% of usage. Why building less beats building more.
Dependency and supply-chain risk: ~95% of open-source vulnerabilities sit in transitive dependencies. What left-pad and Log4Shell taught us.
It starts with a single call. 72 hours later, you're reviewing scored candidates who already match your stack and culture.