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Announcing Vite+ 1.0
Announcing Vite+ 1.0
Vite+ 1.0 is here. One CLI manages your runtime, package manager, and frontend toolchain.
·voidzero.dev·
Announcing Vite+ 1.0
2026 in LLMs (so far)
2026 in LLMs (so far)
On Friday I gave the closing keynote at the WeAreDevelopers World Congress North America in San Jose. I tied together the key trends from the past year into a chronological …
·simonwillison.net·
2026 in LLMs (so far)
iframe の高さをコンテンツに合わせる CSS の frame-sizing
iframe の高さをコンテンツに合わせる CSS の frame-sizing
外部サービスのコメント欄やフォームを iframe で埋め込むと、内容の高さと枠の高さが合わず、スクロールや余白が生じることがあります。frame-sizing を使うと、埋め込み側の許可のもとで内容に応じた高さを使えます。
·azukiazusa.dev·
iframe の高さをコンテンツに合わせる CSS の frame-sizing
Nate Berkopec on X: "I agree with @thorstenball, I think unit tests are dead in the water. The ones the models write are terrible, at best just doubling total LOC. Inverting the testing approach - heavy e2e/black box/golden master, reaching for lower levels only if necessary, works better for me" / X
Nate Berkopec on X: "I agree with @thorstenball, I think unit tests are dead in the water. The ones the models write are terrible, at best just doubling total LOC. Inverting the testing approach - heavy e2e/black box/golden master, reaching for lower levels only if necessary, works better for me" / X
The ones the models write are terrible, at best just doubling total LOC. Inverting the testing approach - heavy e2e/black box/golden master, reaching for lower levels only if necessary, works better for me
·x.com·
Nate Berkopec on X: "I agree with @thorstenball, I think unit tests are dead in the water. The ones the models write are terrible, at best just doubling total LOC. Inverting the testing approach - heavy e2e/black box/golden master, reaching for lower levels only if necessary, works better for me" / X
effect-mq
effect-mq
Effect-native background jobs. Schema-typed payloads, swappable storage, at-least-once execution.
·effect-mq.com·
effect-mq
Refactoring Hermes with 1,393 agents
Refactoring Hermes with 1,393 agents
Hermes Agent refactored its own codebase: 1,393 subagents over about nineteen active hours cut non-test Python by 34.4%, for roughly $19,300 in model spend against a $150k-$1.8M estimate for doing it by hand.
·nousresearch.com·
Refactoring Hermes with 1,393 agents
Plan mode is dead
Plan mode is dead
Earlier this year, I believed planning was going to become the most important part of building software with AI.
·aymannadeem.com·
Plan mode is dead
VMs, no sign up | Railway
VMs, no sign up | Railway
Run ssh railway.new and get a free Linux VM in about 1.4 seconds, with coding agents preinstalled and a preview URL. No account needed. Claim it to keep it.
·railway.com·
VMs, no sign up | Railway
Ollaya · Run decision models locally.
Ollaya · Run decision models locally.
Ollaya downloads and serves open decision models on your own machine. Typed, calibrated answers in milliseconds, private and open source.
·ollaya.dev·
Ollaya · Run decision models locally.
TanStack/redact: An alternative logical projection of React with 100% API compliancy but simpler implementation resulting in smaller bundle size and better performance.
TanStack/redact: An alternative logical projection of React with 100% API compliancy but simpler implementation resulting in smaller bundle size and better performance.
An alternative logical projection of React with 100% API compliancy but simpler implementation resulting in smaller bundle size and better performance. - TanStack/redact
·github.com·
TanStack/redact: An alternative logical projection of React with 100% API compliancy but simpler implementation resulting in smaller bundle size and better performance.
loading.dev
loading.dev
A lightweight library full of beautiful loading indicators for React.
·loading.dev·
loading.dev
State of agent skills
State of agent skills
In seven months, the skills.sh registry grew to 1 million agent skills with nearly 280 million installs. This report uses aggregate data from that registry to examine what people teach agents, what gets installed, and what lasts.
·vercel.com·
State of agent skills
EXPLAIN で詰まったときの三つ目の手札、Optimizer Trace の話 - Timee Product Team Blog
EXPLAIN で詰まったときの三つ目の手札、Optimizer Trace の話 - Timee Product Team Blog
はじめに こんにちは。プラットフォームエンジニアリングチームに所属している徳富(@yannKazu1)です。 MySQL が遅いとき、まず EXPLAIN で計画を見る。見積もりが怪しければ EXPLAIN ANALYZE で実測と突き合わせる。たいていのケースはこの二つで十分で、実際自分もそれで困ったことはほとんどあ…
·tech.timee.co.jp·
EXPLAIN で詰まったときの三つ目の手札、Optimizer Trace の話 - Timee Product Team Blog