开源项目
🔥 zotero / zotero - Zotero is a free, easy-to-use tool to help you collect, orga
GitHub热门项目 | Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share your research sources. | Stars: 14,498 | 14 stars today | 语言: JavaScript
开源项目
🔥 calesthio / OpenMontage - World's first open-source, agentic video production system.
GitHub热门项目 | World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio. | Stars: 4,959 | 71 stars today | 语言: Python
开源项目
🔥 alexzhang13 / rlm - General plug-and-play inference library for Recursive Langua
GitHub热门项目 | General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes. | Stars: 4,816 | 37 stars today | 语言: Python
开源项目
🔥 roboflow / rf-detr - RF-DETR is a real-time object detection and segmentation mod
GitHub热门项目 | RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026] | Stars: 7,853 | 65 stars today | 语言: Python
开源项目
🔥 521xueweihan / HelloGitHub - 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open s
GitHub热门项目 | 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub. | Stars: 161,720 | 167 stars today | 语言: Python
开源项目
🔥 fivetran / great_expectations - Always know what to expect from your data.
GitHub热门项目 | Always know what to expect from your data. | Stars: 11,565 | 2 stars today | 语言: Python
开源项目
🔥 DeusData / codebase-memory-mcp - High-performance code intelligence MCP server. Indexes codeb
GitHub热门项目 | High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies. | Stars: 4,260 | 367 stars today | 语言: C
开源项目
🔥 google-research / timesfm - TimesFM (Time Series Foundation Model) is a pretrained time-
GitHub热门项目 | TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. | Stars: 21,526 | 84 stars today | 语言: Python
开源项目
🔥 RocketChat / Rocket.Chat - The Secure CommsOS™ for mission-critical operations
GitHub热门项目 | The Secure CommsOS™ for mission-critical operations | Stars: 45,503 | 15 stars today | 语言: TypeScript
开源项目
🔥 continuedev / continue - open-source coding agent
GitHub热门项目 | open-source coding agent | Stars: 33,769 | 38 stars today | 语言: TypeScript
开源项目
🔥 penpot / penpot - Penpot: The open-source design tool for design and code coll
GitHub热门项目 | Penpot: The open-source design tool for design and code collaboration | Stars: 49,911 | 94 stars today | 语言: Clojure
AI 资讯
The Gemini-Powered Google Home Speaker Is Finally Here
Arriving six years after Google’s last smart speaker, the new HomePod-style device was redesigned to play host to Gemini’s chatbot.
AI 资讯
Got Thread problems? There’s an app for that
The new Thread Networks Diagnostics Tools app from Thread Group, the standards body behind the wireless IoT protocol, officially launches in beta today. The app, which arrives on iOS and has been available on Android in alpha for a few weeks, is the first dedicated tool to provide visibility into your Thread-based smart home network. […]
AI 资讯
Jackery announces ‘world’s slimmest’ fridge battery
Jackery is jumping on the fridge-battery trend with what it says is the "world's slimmest." FridgeGuard also looks nice; a break from power stations that tend to look more at home at a job site than the kitchen or living room. Measuring just 2.63 inches (67mm) thick, the Jackery FridgeGuard power station is meant to […]
产品设计
Thread Direct looks to solve Matter’s biggest setup headache
The smart home networking protocol Thread is adding a new way to onboard devices without a Thread border router. The feature, called Thread Direct, is designed to let users set up Thread-powered devices - such as smart plugs and smart locks - using only a phone or mobile device equipped with a Thread radio. Current […]
AI 资讯
GuliKit’s new mobile Switch 2 dock lets you play with or without a TV
After teasing it on X last week, GuliKit announced a new version of its TV Docking Station today that now supports the Switch 2 as well as previous versions of the console, including the original Switch and OLED model. The new version of the dock carries forward a similar design as the original and looks […]
开发者
Google’s first smart speaker in six years arrives next week
Google's first new smart speaker in six years starts shipping on June 29th, narrowly missing its promised spring launch window. Preorders for the Google Home Speaker open today, June 17th. Nothing has changed hardware-wise in the nine months since the $99 speaker was announced. It has the same slightly squished round design, with touch-capacitive buttons […]
AI 资讯
LinkedIn will tell others how you really use Adobe’s apps
LinkedIn is trying to make it easier for users to prove their proficiency with apps that are relevant to their current or future jobs. A new "connected apps" feature is launching today that allows users to link a selection of supported apps to their LinkedIn profile, with each app providing a "simple, specific description of […]
AI 资讯
Why git pull --rebase should probably be your default
Most developers run git pull dozens of times a week without thinking about it. And most of the time, it works. Then one day you open a PR and the reviewer says "can you clean up the merge commits?" You look at your branch and see three "Merge branch 'main' into feature/login" commits scattered through history. The feature itself is 5 commits. The log is a mess. That mess comes from one decision: using git pull instead of git pull --rebase . Here's what's actually happening, and why the rebase variant produces cleaner history for teams. The setup: diverged history You're working on feature/login . You commit two changes locally ( X , Y ). Meanwhile, your teammate pushes two commits to main ( C , D ). Your branch and main have now diverged . Neither is a strict superset of the other. Git needs to reconcile them when you pull. Shared history: A → B Your local: A → B → X → Y (you added X, Y) Remote main: A → B → C → D (teammate added C, D) Git has two strategies for this reconciliation. Strategy 1: git pull (merge) A plain git pull creates a merge commit that joins your local history with the remote. Your commits and the remote's commits both appear in the log, connected by a merge node. The git log reads: M Merge branch 'main' into feature/login D fix: timeout on slow connections Y feat: client-side validation C chore: upgrade eslint X feat: login form B (shared) A (shared) This is honest history — it records exactly what happened: parallel development that was joined at a specific point. But it's also noisy history — the merge commit has no meaningful changes, and the log interleaves commits that weren't conceptually related. Strategy 2: git pull --rebase With --rebase , Git takes a different approach. It: Temporarily sets aside your local commits ( X , Y ) Fast-forwards your branch to the tip of the remote ( D ) Replays your commits on top, one by one, creating new commits ( X' , Y' ) The git log reads: Y' feat: client-side validation X' feat: login form D fix: timeo
AI 资讯
The Slot-Machine Was the Point
Lars Faye's Agentic Coding Is a Trap — published Sunday, May 3, picked up on Hacker News at 398 points and 316 comments — is the best single compendium of the cognitive-debt evidence base anyone has put together in 2026. It catalogues the studies. It names the trade-offs. It lands on a personal-discipline conclusion. The receipts are now collected; the careful reader will have spent the weekend nodding through them. Buried in Faye's second paragraph, almost in passing, is the line that does the actual analytical work. Faye describes the agentic workflow as a process in which "someone defines the project's requirements ... generates a plan, and then pulls the slot machine lever over and over, iterating and reiterating with often multiple agent instances until it's done." The link goes to a March post by Quentin Rousseau, CTO and co-founder of Rootly, titled One More Prompt: The Dopamine Trap of Agentic Coding. The metaphor isn't Faye's. Rousseau got there first, in clinical language: the workflow runs on "variable ratio reinforcement — the same psychological mechanism that makes slot machines the most addictive form of gambling" . That is the framing the rest of Faye's piece is downstream of, and it is the framing this article is about. What the receipts add up to Faye's catalogue, briefly. Anthropic's own research note on internal use names what it calls the "paradox of supervision" : effective use of Claude requires the very skills that sustained Claude use atrophies. MIT Media Lab's Your Brain on ChatGPT measured the cognitive impact and labelled it cognitive debt . A Microsoft study covered by 404 Media reached parallel findings for knowledge workers more broadly. A separate Anthropic study on coding skills reported a 47% drop-off in debugging skills among engineers leaning heavily on AI-assisted workflows. Sandor Nyako, the LinkedIn engineering director who oversees fifty engineers, has reportedly asked his team not to use these tools for "tasks that require cri