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Show HN: Open-Source eBPF Volumetric DDoS Protection

https://github.com/tempesta-tech/xFW
1•krizhanovsky•9s ago•0 comments

David Attenborough's Life's Work, Searchable

https://attenborough-100.vercel.app/
1•bookofjoe•40s ago•0 comments

Show HN: Arness – I automated my dev process, but this time from idea to infra

https://github.com/AppsVortex/arness
1•fredcallagan•1m ago•1 comments

Show HN: Code changes that look fine but fail SOC 2 / GDPR checks

https://github.com/better-isms/control-in-code
1•betterisms•1m ago•0 comments

Show HN: We Built the Agentic World Cup – LLMs Competing in 1v1 Soccer

https://agenticworldcup.ai/
2•agenticworldcup•2m ago•1 comments

Show HN: Chain – A Python-like language with native inline C++

https://github.com/Nebania/chain-lang
1•Pilot0253•2m ago•0 comments

Code-first personal email lead enrichment

https://shipgtm.substack.com/p/unlocking-company-data-from-personal
1•namadaza•3m ago•0 comments

Chlorine Dilution Calculator

https://www.publichealthontario.ca/en/health-topics/environmental-occupational-health/water-quali...
1•Bluestein•3m ago•0 comments

Show HN: Remarc – Your feedback layer for AI collaboration

https://github.com/metedata/Remarc
1•young_mete•4m ago•0 comments

The Bench as a Made Object

https://idle.news/blog/the-bench-as-a-made-object/
1•casca•4m ago•0 comments

Self-improving agents are event sourced

https://lobu.ai/blog/self-improving-agents-are-event-sourced/
1•buremba•4m ago•1 comments

Flock Camera Avoidance Routing

https://dontgetflocked.com/
1•aloukissas•5m ago•0 comments

Thoughts I had while reading your comment

https://dynomight.net/comment/
1•surprisetalk•5m ago•0 comments

The AGI Race Has Two Scoreboards. You Only Need One

https://hvasc.dev/articles/agi-two-scoreboards
1•felltrifortence•5m ago•0 comments

An MCP Server in One Bash File

https://blazed.sh/blog/posts/mcp-server-in-one-bash-file/
1•fipso•6m ago•0 comments

I do read AI code

https://dmitriid.com/adding-to-i-dont-read-ai-code-discourse
1•troupo•6m ago•0 comments

The death of AI workflow builders

https://www.adriankrebs.ch/blog/death-of-ai-workflow-builders/
1•hubraumhugo•8m ago•0 comments

The million-dollar home is becoming surprisingly normal

https://www.foxbusiness.com/real-estate/million-dollar-home-becoming-surprisingly-normal
2•geox•10m ago•0 comments

Odd Comments and Doings in Unix

https://9p.io/who/dmr/odd.html
1•birdculture•11m ago•0 comments

Show HN: Git-knife – edit commit messages, authors, and dates like a spreadsheet

https://github.com/TheRealYT/git-knife
6•YonathanTesfaye•11m ago•1 comments

Adaptive Auto Skinning: Skinning Benchmark

https://jessyleite.dev/posts/automatic-skinning-benchmark-comparison/
1•klaussilveira•11m ago•0 comments

Ask HN: What is some software that you wish existed?

1•yangikan•11m ago•2 comments

Show HN: 60-second cognitive test to tell humans from bots (no camera)

https://cognitive-signature.com
2•zefparis•12m ago•1 comments

Show HN: Add the official EU AI-content labels to images and videos

https://github.com/Run-Labs-com/agent-skills/tree/main
1•mnewme•12m ago•0 comments

CheetahSpec: Native execution speed WGSL browser cryptosolver

https://github.com/renz0kuken9/CheetahSpec
1•w2seraph•13m ago•0 comments

Show HN: OJCP – an open protocol for agent-consumable job data

https://ojcp.dev/
8•fraywing•13m ago•1 comments

AI's potential climate benefits outweighed by role in boosting fossil fuels

https://www.theguardian.com/technology/2026/aug/11/ai-will-do-more-to-boost-fossil-fuel-productio...
1•sbulaev•13m ago•0 comments

Google's Westinghouse Bet

https://asimovaddendum.substack.com/p/googles-westinghouse-bet
1•ilamont•14m ago•0 comments

Apocalyptic events should mean action and structural reform, not individualism

https://100r.co/site/off_the_grid.html
2•Bluestein•15m ago•0 comments

I coded myself into a corner with AI, this is how I wrote myself out

https://medium.com/@daniel-payne-keldan-systems/i-coded-myself-into-a-corner-with-ai-this-is-how-...
1•daniel-payne•16m ago•0 comments
Open in hackernews

Ask HN: Are you running production workloads in Pytorch eager mode?

2•stdcall83•1y ago
I have an idea for optimizations using a dedicated backend for pytorch. It only applies to eager mode execution. From my understanding, eager mode is used for development and debugging. Are there real production workloads that work in that way ? I assume people optimize by compiling graphs using JIT but then again, people are lazy...