标签：#r

Most tool lists for job seekers are just fifteen free things nobody had to think hard about. My filter is stricter now: a tool earns money only if it saved me time I'd have spent, removed an annoyance I actually felt, or made me better at something I do a lot. Templates failed the test for me. The screening software reads your resume, it doesn't look at it. Monthly resume builder subscriptions failed too, you finish the document in week two and pay through month four. What passed: checking my resume against each specific posting before applying. I use the free scan at ZoeVera for that and paid for a day pass only the week I had five applications to tailor. submitted by /u/Enough_Charge2845 [link] [留言]

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New Delhi announced a $6.5 billion smartphone manufacturing program and a $13.3 billion semiconductor push to deepen India's electronics supply chain.

Similar to last time, What’s !important #15 is pretty stacked — read all about boundary-aware CSS, making grid lanes accessible, creating time-based web designs, fixing full-bleed CSS, improving customizable select, new web platform features, and more. What’s !important #15: Boundary-aware CSS, Time-based CSS, Full-bleed CSS, and More originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.

Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-based checkout workflows. The study examines end-to-end software engineering capability, focusing on execution, testing, and validation gaps in agentic systems under production-like constraints. By Leela Kumili

The 2024 indictment, now unsealed, accuses three Russians and two web hosts of aiding hackers and profiting from cybercrime.

This is about treesitter and LSP, specifically on their utility and recent journey into the Emacs core. Includes interactive visualizations of concrete syntax trees. submitted by /u/misterchiply [link] [留言]

I learned a lot of things by building a project from scratch: a backend DevOps tool that facilitates managing the fast update cycle in git dependencies. Overall, the system works by running two concurrent tasks: one to check dependencies, and the other to trigger workflows. When a dependency is updated, a workflow of the dependent GitHub repository is triggered. Initially, to pass data between tasks, I used an MPSC channel, but subsequently I transitioned to a database-backed queue because the channel was not resilient enough to crashes and network errors. In the article you can find more examples of unexpected quirks that I needed to iron out after the first iteration. submitted by /u/nilirad [link] [留言]

"I wanted to see if I could optimize the dequantization bottleneck during 4-bit LLM inference. By writing a custom kernel in Triton to optimize memory access patterns, I managed to get up to a 1.41x speedup over the standard bitsandbytes implementation. Check out the source code and benchmarks, feedback is highly appreciated!"