Posts in "links"
“While the JavaScript language didn’t ship publicly until that September and didn’t reach a 1.0 release until March 1996, the descendants of Eich’s initial 10-day hack now run on approximately 98.9 percent of all websites with client-side code, making JavaScript the dominant programming language of the web. It’s wildly popular; beyond the browser, JavaScript powers server backends, mobile apps, desktop software, and even some embedded systems. According to several surveys, JavaScript consistently ranks among the most widely used programming languages in the world.
🔗 In 1995, a Netscape employee wrote a hack in 10 days that now runs the Internet
“The quick post is low-context, the effortpost is high-context.” As summarized a bit better: “The quick post is low-context, the effortpost is high-context.”
🔗 Why people like your quick bullshit takes better than your high-effort posts
🤖 A stark analysis of how a withdrawing U.S., a resurgent Russia, and a coordinated China have placed Europe in existential danger, urging radical unification and rearmament.
Some product management maxims.
🤖 The 2025 OWASP Top 10 rebrands “Vulnerable Components” as “Software Supply Chain Failures” and elevates “Security Misconfiguration” to the number two spot. Chris Cropper and Rita Manachi analyze the changes and argue that bypassing security controls for the sake of “innovation” is increasingly a liability, not a competitive advantage.
🔗 Beyond a Team Sport, Security is a Community Sport: Exploring the 2025 OWASP top 10
The options we pass to FFmpeg in a variety of cases is now so complicated that I can’t really understand or edit it without AI.
Just image all the sed and awk script, the regex’s we can now all write effortlessly.
🔗 Manton
Speed is no longer a differentiator. Every team now has access to the same AI horsepower. Shipping fast is table stakes. What will separate winners is who can debug, adapt, and evolve when the AI-built foundation starts to crack.
Infrastructure self-harm
”Extrapolating these results to the economy, current generation AI models could increase annual US labor productivity growth by 1.8% over the next decade. This would double the annual growth the US has seen since 2019, and places our estimate towards the upper end of recent estimates. ”