Kubernetes for Snowflake
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šŸ§©Nomad
Azure Messaging Connect: New Way to Deliver Short Message Service (SMS) Globally
learn.microsoft.comĀ·3dĀ·
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šŸ”ŒOffline-first Apps
The End of Mutual Assured Destruction?
foreignaffairs.comĀ·2dĀ·
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šŸ›”ļøByzantine Consensus
An Engineer's Perspective on Hiring
jyn.devĀ·1dĀ·
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šŸ§©Low-code
How the Lean language brings math to coding and coding to math
amazon.scienceĀ·4dĀ·
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ā˜ļøServerless Rust
Why OpenAI open-sourced models?
open-source-ward.comĀ·2dĀ·
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ā˜ļøServerless Rust
Decomposition of Symmetrical Classes of Central Configurations
arxiv.orgĀ·3d
Ī»Functional Programming
A Gentle Introduction to Context Engineering in LLMs
kdnuggets.comĀ·2d
šŸ§©Low-code
Announcements for AI Hypercomputer: The latest infrastructure news for ML practitioners
cloud.google.comĀ·4d
šŸ—ļøAI Infrastructure
AWS Weekly Roundup: Amazon DocumentDB, AWS Lambda, Amazon EC2, and more (August 4, 2025)
aws.amazon.comĀ·5d
šŸŒŠEvent Streaming
How to Manage Security Vulnerabilities Using Budibaseā€”No Code Required
hackernoon.comĀ·3d
ā˜ļøServerless Rust
Claude Code vs Warp.dev vs Jetbrains Junie
dev.toĀ·2dĀ·
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āœØvibe-coding
Foster AI: Building with Bolt - WLH Challenge
dev.toĀ·2dĀ·
Discuss: DEV
šŸ¤–AI agents
A Formal Framework for the Definition of 'State': Hierarchical Representation and Meta-Universe Interpretation
arxiv.orgĀ·4d
Ī»Functional Programming
RadProPoser: A Framework for Human Pose Estimation with Uncertainty Quantification from Raw Radar Data
arxiv.orgĀ·3d
šŸ—ļøAI Infrastructure
Machine Learning Fundamentals: model evaluation tutorial
dev.toĀ·3dĀ·
Discuss: DEV
šŸ—ļøAI Infrastructure
Machine Learning Fundamentals: model overfitting
dev.toĀ·3dĀ·
Discuss: DEV
šŸ—ļøAI Infrastructure
Secure and optimize your Raspberry Pi in minutes with these simple steps
xda-developers.comĀ·2d
šŸ“single board computers
I found this hidden gem of an open-source graphics and animation tool ā€” and Iā€™m hooked
xda-developers.comĀ·17h
šŸ§©Low-code
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs
arxiv.orgĀ·4d
šŸ’»Local LLMs