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AI 资讯

Passwords Are Losing, and the Numbers Finally Prove It

What the report found The FIDO Alliance — the industry group behind the passwordless authentication standard — released its State of Passkeys 2026 report in May, based on research across 11,000 consumers and 1,400 enterprise decision-makers in ten countries. A few numbers stand out: passkeys now see a 93% sign-in success rate compared to 63% for passwords, and average sign-in time drops to roughly 8.5 seconds versus over 30 seconds for password-based logins. Awareness has also jumped to 90% of consumers, with about 5 billion passkeys now active worldwide. The security case is the more important one. Passkeys are built to be phishing-resistant by design — unlike a password, there’s no shared secret that can be typed into a fake login page, because the credential is cryptographically tied to the real site and your device. That’s a structural fix, not a behavioral one — it doesn’t depend on you spotting a scam email, which is precisely where most password-based breaches start. Why adoption still lags Here’s the more interesting number: even among organizations that have rolled out passkeys, the majority still keep passwords running in parallel as a fallback, and a large share of individual users still don’t use passkeys everywhere they’re offered. The barrier at this point isn’t awareness — it’s habit. People default to what’s familiar, even when the safer option is one tap away. The practical takeaway Most major platforms — Google, Apple, Microsoft, and a growing list of banks and retailers — now offer passkeys as a login option, usually sitting quietly in account security settings labeled “passkey” or “sign in without a password.” The action worth taking today: pick your two or three most important accounts (email first, since it’s the recovery path to everything else) and set up a passkey where it’s offered, instead of waiting for a breach to force the decision. Passkeys aren’t foolproof — device loss and account-recovery flows are still an active area of security r

2026-08-06 原文 →
AI 资讯

Github Stacked PR

🎯 What a “Stacked PR” Is (and Why You’ll Want One) A stacked pull request (sometimes called a stacked PR , stacked diff , or dependent PR ) is a series of PRs that build on top of each other, each one containing a small, logically‑isolated change. main ──► A ──► B ──► C │ │ │ │ │ └─ PR‑C (depends on B) │ └─ PR‑B (depends on A) └─ PR‑A (directly on main) A is based on main . B is based on A (its head). C is based on B , etc. When you eventually merge the stack in order (A → B → C), each change lands cleanly, and reviewers can focus on one cohesive piece at a time. Why Stack PRs? Problem Stacked PR Solution Huge, monolithic PRs that are hard to review & cause long CI times Break the work into bite‑size PRs (e.g., “feature flag”, “data model”, “UI”) Inter‑dependent changes (e.g., a new API + its consumer) Each dependent change lives in its own PR, but they still get tested together because they are built on top of each other Rebasing on main constantly drags in unrelated changes Only the bottom PR needs to be rebased onto main ; the rest stay on top of it Need to ship part of a larger change early Merge the first PR in the stack; the rest stay pending until they’re ready CI resources Only the bottom PR runs the full suite against main ; higher PRs can run a lighter subset because they already passed lower‑level tests 📦 The Landscape of Tools (as of 2026) Tool / Service Key Features Installation / Setup Typical Workflow ghstack (GitHub CLI plugin) - Creates stacked PRs automatically from a series of commits. - Handles base‑branch updates, resolves merge conflicts, and can re‑stack after rebases. - Works with GitHub's GraphQL API, so you get “dependent PR” links in the UI. pip install ghstack (or brew install ghstack ). Requires a personal access token with repo scope. bash git checkout -b feature/stacked\n# create many commits …\nghstack push\n# later, after rebasing on main\nghstack rebase . | | GitTown (aka git-town ) | - git town ship can ship a stack of dependent br

2026-08-06 原文 →
开源项目

🔥 didilili / ai-agents-from-zero - 🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对

GitHub热门项目 | 🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化 | Stars: 3,439 | 43 stars today | 语言: Python

2026-08-05 原文 →