Everyone's Getting Trapped by Hosting Renewals. Here's What I Did About It
veerhost.comยท6hยท
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๐Ÿ HomeLab
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Reforging the ReScript Build System
rescript-lang.orgยท3dยท
๐Ÿ›๏ธTechnical Architecture
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The Architecture of the Internet with Erik Seidel
softwareengineeringdaily.comยท2d
๐Ÿ›๏ธTechnical Architecture
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The Myth of AI-Powered Sisyphus
tawandamunongo.devยท17hยท
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๐Ÿ›ก๏ธAI Security
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
jstrieb.github.ioยท3dยท
๐Ÿ”„DevSecOps
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Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent
reddit.comยท1dยท
Discuss: r/LocalLLaMA
๐Ÿ‘จโ€๐Ÿ’ปAI Coding
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The worst way to use AI for your productivity
codiris.buildยท18hยท
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๐Ÿ–ฅ๏ธSelf-hosted apps
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Krish Naik: Stop Fighting with Kubernetes! Scale Python to 1000s of Machines with Coiled
dev.toยท8hยท
Discuss: DEV
โ˜๏ธCloud Security
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NDC Conferences: The future & challenges of cloud - Anders Lybecker - NDC Copenhagen 2025
dev.toยท3hยท
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โ˜๏ธCloud Security
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What mindset shifts unlock AI for business competitive advantage?
dev.toยท3dยท
Discuss: DEV
๐ŸŽฏTechnical Strategy
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Building Custom Components in Langflow ๐Ÿ› ๏ธ
dev.toยท3dยท
Discuss: DEV
๐Ÿ”งMLOps
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Automated Anomaly Detection in 4-Point Probe (4PP) Stress-Induced Resistance Drift via Bayesian Hyperparameter Optimization
dev.toยท6dยท
Discuss: DEV
๐Ÿ”ฌTech & Science
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A brief guide for those who slept (on AI) the last two years
dev.toยท2dยท
Discuss: DEV
๐Ÿ‘จโ€๐Ÿ’ปAI Coding
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Tech With Tim: Learn Fast API With This ONE Project
dev.toยท2hยท
Discuss: DEV
๐Ÿ–ฅ๏ธSelf-hosted apps
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[RoastMyProject] My first App that's written in 100% Go and no JS
reddit.comยท18hยท
Discuss: r/golang
๐Ÿ”„DevSecOps
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Many-vs-Many Missile Guidance via Virtual Targets
arxiv.orgยท3d
๐Ÿ”ฌTech & Science
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Show HN: I'm open sourcing my Chrome extension that uses AI to modify websites
github.comยท2dยท
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๐Ÿ–ฅ๏ธSelf-hosted apps
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Beyond Numbers: How to Humanize Your Data & Analysis
towardsdatascience.comยท20h
๐Ÿ—information architecture
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Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
arxiv.orgยท2d
๐Ÿ”งMLOps
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