... probably saw the VS Code 1.117 story: "Co-authored-by: Copilot" silently added to commits by default, including for code that Copilot never wrote. Microsoft reverted it in 1.119. Good. But the revert is the wrong ending to the right story. The developer anger was about consent and accuracy both valid. What did not get picked up in the discourse was the architectural question underneath: even when Copilot does write code, a git trailer tells you almost nothing useful ... ... capture provenance at insertion time before the diff ever hits git. Each insertion generates a structured record with roughly 40 fields: four timestamps, the full prompt body, the raw model response, 10 named capability slots indicating what was captured versus

... close, that's theirs. But you just buried the actual story in your "where it breaks down" paragraph, and I think it's the opposite of a footnote. The artifacts where your survival signal is cleanest, tasks, docs, admin actions, are the lower-stakes ones. The artifact

... used) etc.? Comment from (@new_user___2672025cf1bc18102609b53): @praveen62  Agree - making the uncertainty explicit is the part most systems miss. A provenance report should show what was verified, what was inferred, and what is unknowable from the artifacts, so reviewers can replay the chain without overtrusting the narrative. Comment from (@new_user___2672025cf1bc18102609b53): I'd want the report to separate claims from checks: for each file/change, show the stated AI contribution, the verifier (test/command/reviewer), pass/fail status, timestamp ... ... artifact

... file preview: Click a file path the bot mentioned (markdown link or inline code) to open a resizable, syntax-highlighted side panel. Relative paths auto-resolve against common project roots; directories still reveal in Finder. New Artifacts cloud sync: Canvases, slides, docs, and code sync automatically across signed-in devices. Offline-aware queue, S3-backed previews, 10 MB size cap (up from 500 KB). New Screen-aware Coach (macOS, opt-in): When you enable it, a native ScreenCaptureKit sidecar shares ... ... softer corners. Fix Activity tab now scrolls instead of clipping; Radix ScrollArea wrapper repaired. Fix Tool output rendering is cleaner: stray wrapper markup removed, escape sequences normalised, and excessively long blobs collapse to a short summary by default. Fix Artifacts

... local repository is rarely just source code. Over time, it becomes a mix of source files, Git history, dependencies, generated build output, caches, logs, assets, local databases, framework artifacts, and tool-specific folders. That makes project size surprisingly hard to reason about. When a repo grows to 10 GB, 30 GB, or more, the first question should not be: What can I delete? It should be: What is this project actually made of? That idea became Projects in Room Service ... ... data, dependencies, build outputs, caches, assets, logs, and source files, so developers can understand project structure before making cleanup decisions. This becomes especially useful in monorepos, long-running client projects, game development folders, and AI-heavy environments where generated artifacts

... months, I ve been analyzing how AI answer engines discover and interpret websites. We re starting to see a pattern: robots.txt controls crawling sitemap.xml helps discovery structured data helps search engines But AI systems introduce something new: AI-ready artifacts like: ai.txt llms.txt ai-feed.json structured RAG indices Some companies are already publishing these. Most are not. My questions to builders and founders here: Are you exposing structured artifacts

... companies know how they re being cited, summarized, or interpreted by AI systems? SEO tools measure rankings. Analytics tools measure clicks. But AI answer engines introduce a new layer: Are you cited? Which sources are used? Are structured artifacts discoverable? Is your brand being summarized accurately? I ve been building infrastructure to analyze this (AI-ready artifacts

... Gemini, Copilot, Claude, Perplexity, and other AI systems. I m the Founder of NeuralBubble the Global AI Visibility Engine. At NeuralBubble, we built an AI Visibility Infrastructure platform focused on GEO (Generative Engine Optimization). Our system analyzes AI-ready artifacts, structured signals, and citation patterns using proprietary indices the GEO Readiness Index (GRI) and Artifact

... mind wants to go. The Lattice of Mental Models and Whys modes are particularly well-suited to exploratory, curiosity-driven learning the kind that enriches how you see the world rather than just adding facts to your memory. Socra vs. Standard AI: The Real Difference Here's the core distinction, put plainly: Standard AI Chatbot Socra Approach Answers your questions Asks you questions Learning outcome You receive information You build understanding Adaptation Static responses Adjusts to your level in real ... ... feedback on your responses and earn recognition for deep thinking and milestone achievements. It's the kind of gamified learning that doesn't feel gimmicky because the underlying mechanism Socratic dialogue is doing real educational work. From Conversation to Artifact

... open-sourced optimize_anything, an API that optimizes any text artifact. You provide a starting artifact

... Shotgun - to help you turn technical research and spec generation into context for software engineers, AI code-gen tools like Codex, Cursor, Claude Code, with complete codebase understanding, and agents doing the heavy lifting. Shotgun produces clean, reusable artifacts and exports to the agents.md ecosystem to help you get the most out of code-gen tools and Agents. New release highlights: : Modes: Research Specify Plan Tasks Implement Hit Shift+Tab to summon different expert advisors for each stage. Researcher, spec ... ... writer, architect, task planner all at your service. Switch freely. Shotgun adapts to you, not the other way around. Export to agents.md Every artifact

... quality footage, whether it s from old phones, webcams, screen recordings, or even modern cameras shooting in low light or tough conditions. You can 2x or 4x upscale while keeping things looking natural - no waxy faces, no over-sharpened artifacts. We re not claiming to be the best (yet), but we re working toward it with every update. Thank you for your support ...