... features with Tauri I d need a bunch of plugins and FFI. Cross-platform UI consistency issues seems like a Tauri classic, and also why many still choose Electron. Rust well, not a problem for me. And with AI + clippy, the Rust code isn t just fast, it s also fast. Good enough for most cases. IAP requires your app to be a .app bundle can t just tauri dev for debugging, so that s extra workflow overhead ...

... walked through what LangChain and goose each broke trying the obvious thing first, and two tests verified by mutation. Reviewing that was a genuine pleasure. Housekeeping CI is green again. Rust 1.98 landed on 20 August with a new clippy lint, we build with -D warnings and a floating stable toolchain, and the build went red on its own no commit required. The modified UTF-7 decoder for IMAP folder names now uses as_chunks, which also retires a hand ...

... tree before saying yes pinned to the version that reuses what SQLite already pulls in, instead of compiling a second copy of the same thing into your installer. Small binary is a feature. Two migrations, 219 tests still green, clippy still has nothing to say. Get it here: https://github.com/nikserg/skim/... Comment from Rabnoor Singh(@rabnoor_s): "Press T, read it. That's the whole feature." is the right way to describe a feature and almost nobody writes them like ...

... status fetch. Under the hood New native Ollama discovery via /api/tags + /api/show (max 8 in flight); inference stays unchanged through openai_compat. Loading-hint strings translated across all 12 locales. cargo test (97 green), cargo fmt, clippy -D warnings, npm run check all passing. Grab it here: https://github.com/nikserg/skim/... Comment from Omri Ben-Shoham(@omri_ben_shoham1): the one-click chip instead of hand-typing a model tag is such a small thing to ship ... ... local models entirely. also genuinely nice to see an outside contributor's PR land cleanly into a 12-locale, 97-test codebase without it turning into a mess - says something good about how approachable the project actually is versus

... questions to ask, dashboards to build, automations to schedule). Click one and it starts working. We just launched it on PH today: Basedash Suggestions (check it out and support!). The counterargument I take seriously: proactive software can be annoying. Clippy was proactive. Notification spam is proactive. There's a fine line between an analyst making the first move and a tool interrupting you with guesses. I think the difference is whether the suggestion comes from your actual context or from ... ... think about this: should AI tools default to making the first move, or is the empty prompt box actually respecting the user? Comment from Abhineet Arora(@theabhineetarora): I lean toward "context-triggered, not schedule-triggered" as the dividing line Clippy

... already on fire lol Comment from Deepak Kumar(@new_user___12920255ec4347865724bdb): I m thinking build ChessVanguard a platform to help beginners learn chess through interactive lessons, live coaching, and progress tracking. Would love your thoughts: Free/paid tiers: Basic puzzles vs. full coaching Clickable lessons: Learn by playing moves on a board Coach tools: Annotate games and track student progress I want to hear your brutally honest feedback regarding the platform and whether that will work, and I want to validate ... ... point! but most scanners are built for teams with infosec maturity. Vibe coders just want a "tell me what's wrong and how to fix it fast" vibe, not a 60-page OWASP checklist. Think of it more like Clippy

... where an AI copilot could step in one that drafts a personalized action plan using available features. Imagine a future where we have a CX SaaS buddy widget guiding us step by step kind of like a next-gen Clippy, but actually helpful this time! Who knows, maybe we re closer to that than we think. Comment from Angelina Shevchuk(@angelinashv): Hey! Great to see you here and love your focus on building around a single strong feature ...