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Data Pipelines Explained Simply (and How to Build Them with Python)

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AI — Latest Models & Research
AI
Data Pipelines Explained Simply (and How to Build Them with Python)
Data pipelines are the backbone of modern data-driven organizations. They automate the movement,...
DEV Community
AI
I built a Solana signal engine solo. Here's the 150-page playbook.
Four months ago I started building a Solana-native signal engine + autonomous trading bot solo, on a...
DEV Community
AI
CrewAI vs LangGraph vs AutoGen: Which Framework for Production AI Agents?
We've shipped production agents on all three frameworks in the last 18 months. Here's the honest...
DEV Community
AI
How to Build a DIY USB Keylogger with ESP32-S3 (DuckLogger Tutorial)
Have you ever wondered how easy it is to build your own DIY USB keylogger from scratch? Using...
DEV Community
AI
Building A Voice AI Agent with OpenClaw and AssemblyAI
OpenClaw went viral this year because of its simplicity in allowing users to communicate with AI...
DEV Community
AI
How I Built an AI-Powered Job Search Pipeline That Tailors My Resume for Every Application
The Problem Job hunting in 2026 is mostly busywork: Hours scrolling LinkedIn and job...
DEV Community
AI
MCP builders: esto es lo que debes hacer ahora que la ejecución STDIO es 'expected behavior'
OX Security pasó 5 meses investigando el protocolo MCP. Presentaron 10 CVEs. La respuesta de...
DEV Community
AI
Maybe this is how Open-Source apps are born... 🚀
It started with a simple question from a friend. "Bro, is there no proper tool for QA testing? Like...
DEV Community
AI
`gh skill`: GitHub's New CLI Command Turns Agent Skills Into Installable Packages
I've been using SKILL.md files in my local Claude Code setup for months. Custom instructions for...
DEV Community
AI
MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation
The rapid progress of Artificial Intelligence Generated Content (AIGC) tools enables images, videos, and visualizations to be created on demand for webpage design, offering a flexible and increasingly adopted paradigm for modern UI/UX. However, directly integrating such tools into automated webpage generation often leads to style inconsistency and poor global coherence, as elements are generated i
arXiv
AI
Generalization in LLM Problem Solving: The Case of the Shortest Path
Whether language models can systematically generalize remains actively debated. Yet empirical performance is jointly shaped by multiple factors such as training data, training paradigms, and inference-time strategies, making failures difficult to interpret. We introduce a controlled synthetic environment based on shortest-path planning, a canonical composable sequential optimization problem. The s
arXiv
AI
Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations
LLM-as-judge frameworks are increasingly used for automatic NLG evaluation, yet their per-instance reliability remains poorly understood. We present a two-pronged diagnostic toolkit applied to SummEval: $\textbf{(1)}$ a transitivity analysis that reveals widespread per-input inconsistency masked by low aggregate violation rates ($\barρ = 0.8$-$4.1\%$), with $33$-$67\%$ of documents exhibiting at l
arXiv
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