Tech Insights

<p>precious lessons on management and leadership from Julie Zhuo, Facebook’s VP of Design </p>

<p>API Security Best Practices MegaGuide: </p>

<p>Feature checking versus Version checking </p>

<p>good summary as to why choose freemium or free trial for your SaaS. Or, as the author puts it: "the choice between a functionality-based or time-based paywall". </p>

<p>Every mock.patch() is a little smell </p>

<p>“If You Don't Schedule Time for Maintenance, Your Equipment Will Schedule It for You” - Sprints, marathons and root canals </p>

<p>The best UX and design events in 2020: </p>

<p>Cover's Theorem: A complex pattern-classification problem, cast in a high-dimensional space nonlinearly, is more likely to be linearly separable than in a low-dimensional space</p>

<p>Create and track OKR objectives and results with this simple tool </p>

<p>The best resources for designing and building dark mode experiences across mobile, desktop and the web </p>

<p>Python multiprocessing: understanding logic behind <code>chunksize</code>: </p>

<p>Brazilian tech conferences repo: </p>

<p>Why “Move Fast and Break Things” Doesn’t Work Anymore: </p>

<p>Difference between automate and automatize: As verbs the difference between automatize and automate is that <em>automatize</em> is to make or become automatic while <em>automate</em> is to replace or enhance human labor with machines. </p>

<p>Mark Erikson - A Deep Dive into React-Redux | React Next 2019 </p>

<p>Probably the biggest dataset of Names, worldwide: </p>

<p>Use <code>TRUNCATE</code> with <code>RESTART IDENTITY</code> to restart sequences as well: </p>

<p>Security by Design Principles: </p>

<p>summary with many important practices for OKRs in companies, has a checklist and common mistakes by the end worth checking out as well </p>

<p>"The Decade of Design”: How the last 10 years transformed design’s role in tech </p>

<p>some differences between junior and senior designers </p>

<p>keys skills a product designer needs to have a great career </p>

<p>Litmus is a toolset to do chaos engineering in a kubernetes native way </p>

<p>Amazing talk on how belief formation happens on humans and 5 things everyone in ML should know about it: </p>