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standup-sloth: a local LLM drafts your standup, and a citation check keeps it honest
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ... Tagged with devchallenge, hf26challenge, opensource, go.
Nguồn: https://dev.to/dhanushnehru/standup-sloth-a-local-llm-drafts-your-standup-and-a-citation-check-keeps-it-honest-5h7h. 8 Sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.
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I Built a Visual System Design Reference — Switch Any Architecture Between AWS, Azure, GCP & Open Source
I Built a Visual System Design Reference — Switch Any Architecture Between AWS, Azure, GCP... Tagged with systemdesign, webdev, opensource, showdev.
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Show HN: A 15 MB self-hosted Netflix and Spotify for your media server
One self-hosted app for your shows, movies and music. - HolyArrs/HolyArrs
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Inside PGO
In the previous article , we made Go code faster by changing how it computes. SIMD lets one CPU instruction work on several values at once, and the simd/archsimd and simd packages give Go access to it. Our dot product ran about 9 times faster, but the code got a lot harder to read. At the end, I promised another route to speed, one where you don’t rewrite anything. That route is Profile-Guided Optimization (PGO). You record a CPU profile of where your program spends its time and give it back to the compiler, so it can work harder on the code that is actually hot. Your source stays exactly as it was. We briefly saw it in the IR post , and today we’re going deep into it.
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The State of Go in 2026: What Changed In the Golang Ecosystem Since Last Year
What changed in the Go ecosystem since last year? We looked at the Developer Ecosystem 2026 survey to bring you the answers.
Latest Hacking News1 Hot7 phút
Red Flags to Watch for When Choosing Between AI Pentesting Vendors
Choosing between AI pentesting vendors requires looking past marketing labels like 'autonomous' or 'agentic' because the underlying systems vary widely. A Stanford-led study ran different AI agent frameworks against a live 8,000-host network and found that between 55% and 82% of reported findings were confirmed as real vulnerabilities. Swapping only the underlying model moved one framework's valid finding rate from 57% to 80%, yet that same framework still scored lowest overall since its findings stayed shallow. On a CTF-style benchmark two frameworks scored near-identically (48.6% vs 45.9%), but on the live network one scored nearly three times higher on severity and complexity. Buyers should demand proof of exploitation, real-network results, clear safety controls, data handling answers and clarity on what 'continuous' actually means.
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Sendspin and an old Android tablet replaced my Sonos multi-room setup
I turned my wall tablets into a Sonos rival, and the music stays perfectly in sync.
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