Practical, privacy-first writing on the web tools we build and the problems they solve.
Lighthouse reports are dense and intimidating. Here's how to extract the signal from the noise and prioritize fixes that actually improve user experience.
Most slow websites have one thing in common: they ship more font weights than the page actually uses, in formats older than necessary, with no fallback strategy. The fix is half a day of work.
AI-generated content is now the default mode for a lot of the web. Here is a workable, honest disclosure standard that respects both the reader and the work.
The browser has quietly become a competent image-processing environment. Here is what client-side really means, why it matters for privacy, and where the trade-offs still live.
When redirects break or headers misbehave, you need to see the raw HTTP conversation. Here are the tools that show you what's really happening.
Readable type isn't about aesthetics—it's about reducing friction. Here's what actually matters for body text in 2026.
AI detection is messy, error-prone, and often unfair. Here's how to build an editorial process that catches synthetic content without alienating writers.
Email authentication records look like gibberish until you need them. Here's a practical guide to MX, SPF, DKIM and DMARC that skips the theory and focuses on what works.
EXIF metadata embeds location, device info, and timestamps into every photo. Here's how to strip it reliably before sharing images online.
AVIF delivers better compression than WebP for photos and illustrations, but encoding is slower and support gaps remain. Here's the practical decision tree.
Most button accessibility failures come from the same five mistakes. Here's a practical checklist that catches them before users do.
AI image generation looks free, but the computational and ethical costs are mounting. Here's what responsible use actually looks like.
