Code review is a fantastic mechanism for catching bugs and sharing knowledge, but it is also one of the most reliable ways to bottleneck an engineering team. A merge request sits in a queue, a reviewer eventually context-switches to read the diff, they leave a handful of nitpicks about variable naming, the author responds, and the cycle repeats. Across our internal projects, the median wait time f
Xが、API経由でURL付き投稿を送る際の料金を1投稿1セントから20セントへ、一気に1900%引き上げました。The Vergeが伝えています。 発効は2026年4月20日。URLを含む投稿をAPI経由で送る際の単価が、これまでの1セントから20セントへ跳ね上がっています。 URLなしの標準的な投稿は1.5セントです。メディア系アカウントからすれば、なかなか鋭いパンチですね。 例外として、ユーザーからメンションされて自動返信する「summoned reply(呼び出し応答)」は1セント据え置きとのこと。つまり、自発的にリンクを撒き続けるタイプのアカウントを狙い撃ちした料金設計になっているわけです。 今回の改定は、2026年2月にXが従量課金制(使った分だけ払うモデル)を正式に打ち出し、固定月額中心の料金体系から距離を置いた流れの延長線上にあります。同じ価格表のなかで、自アカウントの読み取
Socket researchers discovered that the Bitwarden CLI was compromised as part of the ongoing Checkmarx supply chain campaign. The open source password manager serves more than 10 million users and over 50,000 businesses, and ranks among among the top three password managers by enterprise adoption. The affected package version appears to be @bitwarden/cli2026.4.0, and the malicious code was publishe
This week, we will be updating Devin’s self-serve pricing. We’re retiring the old Core and Team plans and introducing a new lineup: Free, Pro, Max, Teams, and Enterprise. We’re also beginning to charge for products that have been free until now, including Ask Devin, DeepWiki, and Devin Review. For many teams, this lowers the barrier to adopt Devin by replacing the old $500/month Team entry point w
Agents have changed how we think about source control, file systems, and persisting state. Developers and agents are generating more code than ever — more code will be written over the next 5 years than in all of programming history — and it’s driven an order-of-magnitude change in the scale of the systems needed to meet this demand. Source control platforms are especially struggling here: they we
Last year, we launched a new frontend for MDN. The most noticeable changes were adjustments to our styles; we simplified and unified the MDN design across all of our pages. In truth, the biggest changes were not reader-visible, but rather in the overhauled code that powers our frontend. This post describes what we've done, the technologies we chose, and why we did it at all. MDN's architecture To
Routines are in research preview. Behavior, limits, and the API surface may change. A routine is a saved Claude Code configuration: a prompt, one or more repositories, and a set of connectors, packaged once and run automatically. Routines execute on Anthropic-managed cloud infrastructure, so they keep working when your laptop is closed. Each routine can have one or more triggers attached to it: Sc
by Manuel Schiller, Tanner Linsley, and Jack Herrington on Apr 13, 2026. At TanStack, we have always strived to build tools that cover the 90% use case with ease, but still give you the flexibility to break out of the box for advanced use cases. Why? Because we know that when things get serious, you know what's best for your application and deserve the freedom to take control. That's always been t
はじめに 本記事は、Lilia Abdulina(JetBrains の QA責任者)による研究(Vitaly Sharovatovが協力)である「QA in the Age of AI-Accelerated Development」の翻訳記事です*1*2。 本記事は許諾を得た上で翻訳しています*3。 なお、本記事は現在もGitHub上でディスカッションが続けられています。記事を読んで気になった方や疑問を持った方はぜひディスカッションに参加してください! 本記事の主な見どころ AIによって「理解の負債」だけでなく、「意図の負債」も増えている AI以前では副産物として獲得できていた「ビジネスドメインの知識」を蓄積できなくなっている 「評価」よりも「予防」に重きを置いている「積極的な品質保証活動を行う企業」と、そうではない「反応的な品質管理を行う企業」が存在する コストはO(n + εn2)
Pull requests are the beating heart of GitHub. As engineers, this is where we spend a good portion of our time. And at GitHub’s scale—where pull requests can range from tiny one-line fixes to changes spanning thousands of files and millions of lines—the pull request review experience has to stay fast and responsive. We recently shipped the new React-based experience for the Files changed tab (now
Claude Code handles complex, multi-step projects well, but long sessions accumulate weight. Every file read, every tangent explored, every half-finished thought stays in the context window, slowing responses and driving up token costs. Consider building a new feature in a large TypeScript monorepo. The main work is the implementation, but side tasks keep appearing: trace how an existing service ha
I've sold out 2026-04-08 What a nice WebGL shader. Look at draining your battery. Table of contents So, this is awkward. I've joined Cristina, Jakob, Ramiz, Vegard, Armin, and Colin at Earendil. And I'm taking pi, the little coding agent that could, with me. Now, before you get out the pitchforks, hear me out. Why would you do that? Many reasons! Let me give you a "quick" history lesson. "It's lik
A “diff” tool for AI: Finding behavioral differences in new models Every time a new AI model is released, its developers run a suite of evaluations to measure its performance and safety. These tests are essential, but they are somewhat limited. Because these benchmarks are human-authored, they can only test for risks we have already conceptualized and learned to measure. This approach to safety is
For eight years, I’ve wanted a high-quality set of devtools for working with SQLite. Given how important SQLite is to the industry1, I’ve long been puzzled that no one has invested in building a really good developer experience for it2. A couple of weeks ago, after ~250 hours of effort over three months3 on evenings, weekends, and vacation days, I finally released syntaqlite (GitHub), fulfilling t
It has been a week since the axios compromise, and we wanted to take some time to reflect. We published a detailed technical analysis during the incident and have been continuously updating it. But the human story, the frantic evening, the deleted GitHub issues, the community rallying together at midnight, that part hasn't been told yet. This is that story. axios is the most popular HTTP client in
はじめに こんにちは、クラスメソッド製造ビジネステクノロジー部の森茂です。 2026 年 4 月 3 日、AI 研究者で「バイブコーディング(vibe coding)」の名付け親としても知られる Andrej Karpathy 氏が Xのポスト で「LLM Knowledge Bases」と題した投稿をしました。1,300 万回以上の閲覧を集め、翌日には詳細なアイデアファイルが gist として公開されています。 このポストに反応が大きかった理由は、多くの人がすでに似たようなことを試みていたからだと思います。Claude Code の CLAUDE.md、各 AI エージェント のルールファイル、あるいは Notion や Obsidian に自分なりのナレッジ構造を作っている人。X や Reddit、Hacker News でも「LLM にナレッジを整理させる」系の話題は以前から繰り返し
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