I'm taking a three-week LLM fast!
cekrem.github.io·21h·
Discuss: r/programming, r/vim
💬Prompt Engineering
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DS-STAR: A state-of-the-art versatile data science agent
research.google·4d·
Discuss: Hacker News
📊Data Science
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lzhoang2801/OpCore-Simplify
github.com·4h
📊Profiling Tools
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Map a Kubernetes cluster with one command
dev.to·6h·
Discuss: DEV
☸️Kubernetes
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React PDF Libraries: Free & Paid Tools Comparison (Developer Guide)
dev.to·23h·
Discuss: DEV
⚛️React
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Linux Privilege Escalation reference for all things
github.com·1d·
Discuss: Hacker News
🐧Linux
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MCP was the wrong abstraction for AI agents
getateam.org·1d·
Discuss: Hacker News
🚀Performance
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The Benefits of Selenium Automation Testing
dev.to·19h·
Discuss: DEV
🧪Testing
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Who wants to build an admin UI? Part 2 (Custom Field Editors)
dev.to·2d·
Discuss: DEV
🎨API Design
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From Pandas in Python to TabularData in Swift for Data Exploration
dev.to·13h·
Discuss: DEV
📊Data Science
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The 10 Best AI Tools for Architectural Designers in 2025, with SUAPP AI Standing Out Prominently
dev.to·3h·
Discuss: DEV
🎨Design Systems
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Designing Data-Intensive Applications [Book Review]-The Big Ideas Behind Reliable, Scalable and Maintainable Systems
dev.to·5d·
Discuss: DEV
🏗️System Design
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LG-NuSegHop: A Local-to-Global Self-Supervised Pipeline For Nuclei Instance Segmentation
arxiv.org·1d
👁️Computer Vision
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I Just Did 6 Weeks of Principal-Level Engineering in 3 Days
dev.to·5h·
Discuss: DEV
🤖Automation
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Multimodal Deep Learning for Prediction of Progression-Free Survival in Patients with Neuroendocrine Tumors Undergoing 177Lu-based Peptide Receptor Radionuclide...
arxiv.org·1d
🔥PyTorch
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Boosting Your Dev Career: A Deep Dive into Free AI Tools for Developers (2025-11-08)
dev.to·2d·
Discuss: DEV
🎭Program Synthesis
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A Guide to Designing and Scaling Multi-Agent Systems Using Open-Standard Protocols
pub.towardsai.net·3d
🛡️AI Security
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Causal Graph Neural Networks for Healthcare
arxiv.org·6d
📱Edge AI
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Discourse-Aware Scientific Paper Recommendation via QA-Style Summarization and Multi-Level Contrastive Learning
arxiv.org·5d
💬Natural Language Processing
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Towards Transparent Stance Detection: A Zero-Shot Approach Using Implicit and Explicit Interpretability
arxiv.org·5d
🧮Embeddings
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