| |
| 🔗 Stories, Tutorials & Articles |
| |
|
| |
| AI's 70% Problem |
| |
| |
Google’s Addy Osmani dropped a stat: AI now writes over 30% of the code at Google. Impressive. But the hard part - the last 30% - still needs a human brain. That’s where the bugs live: security, edge cases, production wiring. No shortcut.
And while AI adoption keeps climbing in greenfield work, trust is slipping. Two years ago, 70% of devs gave AI the thumbs-up. Now it’s 60%. |
|
| |
|
| |
|
| |
| The state of the Rust dependency ecosystem |
| |
| |
A deep dive into 200,650 Rust crates shows a brewing maintenance problem: 45% are inactive, and over half of new crates never see a second update - a wild jump from just 1.4% in 2015.
Zoom in on the top 1,000 crates, and it gets messier. 249 dependencies have been abandoned, and 158 are stuck on older major versions, lagging hard - even with wide adoption. |
|
| |
|
| |
|
| |
| A complete guide to HTTP caching |
| |
| |
A fresh guide reframes HTTP caching as less of a tweak, more of an architectural move. It breaks caching into layers - browser memory, CDNs, reverse proxies, app stores - and shows how each one plays a part (or gets in the way).
It gets granular with headers like Cache-Control, ETag, and Vary, calling out common faceplants like no-store abuse or using Vary: Cookie like it's harmless. Hint: it’s not. When cache layers slip out of sync, stale content isn't just annoying - it can quietly break critical flows. |
|
| |
|
| |
|
| |
| The Green Tea Garbage Collector |
| |
| |
Go 1.25 drops an experimental GC called Green Tea. It flips the script on object traversal - scanning memory pages instead of hopping from object to object. The payoff? Up to 40% less GC CPU overhead on real workloads.
Bonus: it taps into AVX-512 on newer x86 chips for vectorized scanning. Turns out streaming memory is faster than chasing pointers. |
|
| |
|
| |
|
| |
| How Google, Amazon, and CrowdStrike broke millions of systems ✅ |
| |
| |
AWS. Google Cloud. Azure. CrowdStrike. All hit hard by dumb bugs with big blast radii - race conditions, nulls, misfired configs. Small cracks. Massive fallout.
AWS's DNS automation knocked out its DynamoDB endpoint, dragging 113 services down with it. Google Cloud’s global APIs fell over from a stray null pointer deep in quota policy code. CrowdStrike pushed a config that boot-looped 8.5M Windows boxes in kernel mode. Azure let a bad config sneak past checks and spread it across its global AFD fleet.
System shift: These weren’t freak accidents. They’re signs of strain in how we scale - centralized control planes, eager global replication, recovery playbooks that break when too much breaks at once. |
|
| |
|
| |
|
| |
| From web developer to database developer in 10 years |
| |
| |
EnterpriseDB is leveling up Postgres Distributed, the spiritual successor to pglogical. Now with replicated DDL and tunable consistency across clusters.
It's mostly C and Rust under the hood - tight hooks into Postgres internals, with APIs that nod at abstraction but stay close to the core. |
|
| |
|
| |
|
| |
| Dead framework theory |
| |
| |
LLM dev tools keep steering straight into React. System prompts hardwire it. Generated code defaults to it. The result? A feedback loop. Tools crank out React, models get trained on more React, and newcomers inherit the bias.
What’s changing: React isn’t just a framework anymore. It’s sliding into invisible infrastructure. That shift sidelines native platform features and chokes off room for alternatives. |
|
| |
|
| |
👉 Got something to share? Create your FAUN Page and start publishing your blog posts, tools, and updates. Grow your audience, and get discovered by the developer community. |