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Typia
Typia
Superfast TypeScript runtime validators and serializers.
·typia.io·
Typia
Ollama now supports Jev-style decision models· Ollama Blog
Ollama now supports Jev-style decision models· Ollama Blog
Ollama now supports decision models, based on TypeSafe's Jev API for fast, typed decisions. Decision models can now be run at no cost with low latency. Based on text, decision models answer yes-or-no questions, choices and scores about it, with a probability for every option.
·ollama.com·
Ollama now supports Jev-style decision models· Ollama Blog
Pi v0.99 の新機能|npaka
Pi v0.99 の新機能|npaka
Pi v0.99 の新機能をまとめました。 1. Pi 「Pi」は、ターミナル上で利用できるオープンソースのAIエージェントハーネスです。 コードの生成・修正、ファイル操作、コマンド実行などをAIに依頼でき、OpenAIやAnthropicなどのクラウドモデルだけでなく、Ollamaなどを使ったローカルLLMとも組み合わせられます。 2026年9月29日に公開された「Pi v0.99.0」では、 ・CodemodeとMCPの標準搭載 ・Virtual Modelsによるモデル自動切り替え ・Classifier Modelsによるタスク分類 ・System Themeなどの
·note.com·
Pi v0.99 の新機能|npaka
mizchi/explainer
mizchi/explainer
Contribute to mizchi/explainer development by creating an account on GitHub.
·github.com·
mizchi/explainer
Why has Shopify dropped React Native?
Why has Shopify dropped React Native?
It’s only been a year since the e-commerce platform declared it was very happy with React Native, but now Shopify is dumping it – and the reason, unsurprisingly, is AI
·newsletter.pragmaticengineer.com·
Why has Shopify dropped React Native?
Introducing cf: the agentic CLI for the entire Cloudflare API
Introducing cf: the agentic CLI for the entire Cloudflare API
We are releasing cf, our new command-line tool that mirrors the entire Cloudflare API and supports programmatic TypeScript configuration. We are also open-sourcing Forge, our internal SDK generator.
·blog.cloudflare.com·
Introducing cf: the agentic CLI for the entire Cloudflare API
10年以上開発が続くモノリスから、権限管理機能を基盤へ移行するための取り組み - freee Developers Hub
10年以上開発が続くモノリスから、権限管理機能を基盤へ移行するための取り組み - freee Developers Hub
はじめまして、権限管理基盤チームのyocchiといいます。 freeeでは、freee人事労務やfreee販売、freee請求書といった様々なプロダクトを提供していますが、これらのプロダクトから共通で利用できるアクセス制御用のシステムとして、「権限管理基盤」とよばれるマイクロサービス類を内製しています。 しかし、fre…
·developers.freee.co.jp·
10年以上開発が続くモノリスから、権限管理機能を基盤へ移行するための取り組み - freee Developers Hub
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