Hi guys! I would like to share you with the recent TUI I've built in Rust and ratatui. It's called WorkTUImer: https://github.com/Kamyil/work-tuimer/tree/main It allows you to track time per task per day and auto-summarize it to make it easier to either just check how much time you spent on something or make it especially easier for devs to log this time to JIRA/Linear etc. Long time ago (like 5 years ago) I created work-timer like this but as a web version, which served me well for a long time. Since now I'm a Neovim/Terminal kid for like 2 years, I've rewrote it to the TUI with lots of improvements which made my workflow consistent and easier. This version: - is fully keyboard-driven - it has time defined as pin-inputs for easy "type 4 numbers to type time" - it auto-summarizes time spent on given task, if it was done in multiple sessions during the day - it auto-saves data per-day as JSONs to `~/.local/share` - it allows to easly switch days either via `[` and `]` keybinds but also has a full Calendar view (`C` keybind) - it has issue-tracker integration that allows to type ticket code in task name (TUI will then highlight such task with ticket icon) and jump straight into the task code URL via "T" keybind - it tracks history, so easy "u" for undo and "r" for redo - uses both - standard (arrows+Enter) AND vim-style (hjkl + i) navigation It's not yet published to package managers :/ you can either use pre*-*built binaries or clone it and compile it yourself. I will publish it to package managers once I will be sure that people using it don't have much issues (I'm fixing them each day) It's super early version (I've just released v0.2.0) so feel free and welcome to raise any issues or even feature requests submitted by /u/No_Click_6656 [link] [comments]

Larysa and Barbara argue that the EU AI Act isn’t just a legal challenge — it’s an engineering one. 🧠⚙️ Building trustworthy AI means tackling data quality, documentation, and governance long before compliance ever comes into play. 👉 Question for you: What do you think is the hardest part of making AI systems truly sustainable and compliant by design? 🧩 Ensuring data and model quality 📋 Maintaining documentation and metadata 🏗️ Building MLOps processes that scale 🤝 Bridging the gap between legal and engineering teams Share your thoughts and real-world lessons below — how is your team preparing to survive (and thrive) under the AI Act? 👇 submitted by /u/goto-con [link] [comments]

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A panic that prints only the top of the stack is a lie in Rust. See the whole stack or remain blind.Continue reading on Medium »

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How the newest Python update is quietly preparing for the AI-first world.Continue reading on Level Up Coding »

submitted by /u/PleasantSalamander93 [link] [comments]

شماره خاله بندرعباس.شماره خاله تهران.شماره خاله شیراز.شماره خاله کرمان.شماره خاله قشم.شماره خاله بندر گناوه.شماره خاله رشت.شماره خاله…Continue reading on Medium »

A story about threads, patience, and the quiet power of WorkersContinue reading on JavaScript in Plain English »

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this can be optimized further if you remove the java-like abstractions i implemented, and you can get a solid T type instead of the void* data i used if you inline all the abstraction helpers instead of using them but it makes the code less clear as it stands i used void* data for a reason so i could maintain the same abstraction as 'atomicmarkablereference' and behavior as java and result in a working port this can be accounted for if you want to recode the class to have all the CAS and other functions inline either way this is a decentish reference on how to implement something like the book in C++ -- with memory management hinted at (full epochmanager not included in this project so this demo does leak without teh full implementation) Edit: Technical challenges to this port and tips on porting java lock free code to c++: -porting java lock free semantics to C++ and how to do it: Copy the algorithm faithfully -- even if you have to morph the language semantics or do non traditional things ot make it work (i.e. layer base class that is strictly defined and use void* data and casting to mimick javas atomicreference and node behavior rather than using a template which is reusable and modern this method will not work as seen in all other examples on github that tried too slow and double reference cost, also doesnt follow the algorithm faithfully) Make the semantics equivalent (epoch/hazard/markable ptr design) find a way to keep the algorithm teh same while porting and fit in a memory model that works Validate a working baseline -- before making the program a concrete STL nice modern template without the hax make sure the list works -- it likely will need some changes because C++ is faster and less safe so you might need more retry checks in other places or some hardening of the algorithm and debugging still. relax. dont give up. Then inline / optimize / modernize -- this step i have not done you can do it by removing the SNMarkablepointer class and inlining all the cas and pointer operations and slowly finding ways to undo the abstractions now that the algorithm is solid this was a real challenge to port to C++ successfully and actually get the locks to function but if you do this and consider non traditional options you can successfully port java lock free semantics to C++ submitted by /u/Slight-Abroad8939 [link] [comments]

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Here's the revised r/node post. This version clearly states your current scale and your ambitious future plans, which is a great way to show vision. Title: I'm testing npm libs against node:current daily so you don't have to. Starting with 100, scaling to 10,000+. Body: Hey, We've all felt that anxiety when a new Node.js version is released, wondering, "What's this going to break in production?" I have a bunch of spare compute power, so I built a "canary in the gold mine" system to try and catch these breaks before they hit stable. Right now, I'm testing a "proof of concept" list of ~100 libraries (a mix of popular libs and C++ addons). My plan is to scale this up to 10,000+ of the most-depended-upon packages. Every day, a GitHub Action: Pulls the latest node:lts-alpine (Stable) and node:current-alpine (Unstable). Clones the libraries. Forces compilation from source (--build-from-source) and runs their entire test suite (npm test) on both versions. The results are already proving the concept: node-config**:** SKIPPED (correctly identified as "Untestable"). fastify**,** express**, etc.:** PASSED (all standard libs were compatible). I'm putting all the results (with pass/fail logs) in this public report.md file, which is updated daily by the bot. I've also added a hit counter to the report so we can see how many people are using it. You can see the full dashboard/report here: https://github.com/whitestorm007/node-compatibility-dashboard My question for you all: Is this genuinely useful? What other C++ or "flaky" libraries should I add to the test list now? As I scale to 10,000+ libs, what would make this dashboard (Phase 2) most valuable to you or your team? submitted by /u/whitestorm_07 [link] [comments]