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"port-killer A powerful cross-platform port management tool for developers. Monitor ports, manage Kubernetes port forwards, integrate Cloudflare Tunnels, and kill processes with one click. Features: 🔍 Auto-discovers all listening TCP ports ⚡ One-click process termination (graceful + force kill) 🔄 Auto-refresh with configurable interval 🔎 Search and filter by port number or process name ⭐ Favorites for quick access to important ports 👁️ Watched ports with notifications 📂 Smart categorization (Web Server, Database, Development, System)"

"Brian #2: How we made Python's packaging library 3x faster Henry Schreiner Some very cool graphs demonstrating some benchmark data. And then details about how various speedups each being 2-37% faster the total adding up to about 3x speedup, or shaving 2/3 of the time. These also include nice write-ups about why the speedups were chosen. If you are trying to speed up part of your system, this would be good article to check out."

"On TailwindCSS: via Simon Tailwind is growing faster than ever and is bigger than it has ever been Its revenue is down close to 80%. 75% of the people on our engineering team lost their jobs here yesterday because of the brutal impact AI has had on our business. "We had 6 months left" Listen to the founder: "A Morning Walk" Super insightful video: Tailwind is in DEEP trouble"

Port-killer is a cross-platform port management tool that auto-discovers listening TCP ports, manages Kubernetes port forwards and Cloudflare Tunnels, and enables one-click process termination with graceful and forced kills. The tool includes auto-refresh, search and filter by port or process, favorites, watched-port notifications, and smart categorization such as Web Server, Database, Development, and System. Python's packaging library achieved roughly a 3x speedup through multiple optimizations, each contributing 2–37% and collectively shaving two-thirds of runtime. AI has severely impacted some developer-focused companies, with Tailwind reporting near 80% revenue decline and major engineering layoffs. A live YouTube audience option is available Monday at 11am PT.

Read at Pythonbytes