#React UI library
445 related articles
·2 min
MrBeast Teams Up with James Patterson for New Book, Million-Dollar Sweepstakes Marketing Goes Viral
MrBeast partners with bestselling author James Patterson on new book 'The Most Dangerous Games' with a $1M sweepstakes. Deep dive into the viral marketing strategy and creator economy trends.
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·3 min
A Beginner's Guide to AI Agents: Two Learning Paths for Developers and Practitioners
How to learn AI Agents from scratch? This guide covers two clear paths: developers go from Python to LLMs to open-source framework source code; practitioners use Claude Code or similar tools to get results fast.
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·4 min
A Beginner's Guide to AI Agents: Core Principles and Learning Paths Explained
Learn AI Agent core principles from scratch: understand how Agents differ from LLMs, their execution mechanisms, why rule design matters, and find the right learning path for your goals.
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·4 min
LibTV Hands-On: A Full Breakdown of How an AI Agent Produces an Animated Short in One Day
Hands-on test of LibTV's AI Agent: from script and storyboarding to video compositing, one person completes an animated short in a day. Full breakdown of the Skill library, node workflow, and Story Board features.
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·4 min
A Beginner's Guide to AI Agents: Core Principles and Learning Paths Explained
A beginner's guide to AI Agents: understand core principles, how Agents differ from LLMs, their execution mechanisms, and get tailored learning path recommendations.
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·3 min
Jensen Huang's First X Post Backs Open AI: Why the Computing Power King Sides with Open Source
NVIDIA CEO Jensen Huang's first X post champions open AI access. We analyze the business logic, policy dynamics, and the open vs. closed AI debate shaping the industry.
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·2 min
Kimi-K3 Lands on HuggingFace: A Full Breakdown of Moonshot AI's Open-Source Strategy
Moonshot AI's Kimi-K3 model is set to launch on HuggingFace. A deep dive into its architecture, licensing, community reactions, and strategic implications for the global open-source AI landscape.
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·2 min
The AI Compute Arms Race: Why Tech Giants Are Betting Everything on Data Centers
Tech giants are frantically investing in AI compute infrastructure driven by FOMO. This deep dive analyzes the logic, capital scale, energy challenges, and industry reshaping of the compute arms race.
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·2 min
Dependabot Cooldown Period Explained: Why Delaying Dependency Updates by Three Days Is Safer
GitHub Dependabot now defaults to a three-day cooldown for version update PRs to guard against supply chain attacks and improve dependency stability.
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·2 min
The AI Computing Arms Race: Why Tech Giants Are Betting Everything on Data Centers
Tech giants are pouring billions into AI computing infrastructure driven by FOMO. This deep dive analyzes the arms race logic, capital scale, energy challenges, and industry reshaping.
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·3 min
Wattage: An AI Agent Token Cost Profiling and Regression Protection Tool
Deep dive into Wattage, an AI Agent token consumption profiling and cost regression protection tool, exploring its core features, industry context, and value for developers.
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·7 min
DIY Companion Robot: Building Your AI Desktop Buddy with Jetson Orin
A maker builds a DIY companion robot with NVIDIA Jetson Orin and 4S LiPo battery. Explore the full development journey from first power-up to AI interaction, including edge computing, power design, and companion robot trends.
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·5 min
From Chat to Agent: Automating Your Entire Business Workflow with AI Agents
Veteran AI practitioner Remy breaks down the leap from chat models to AI agents: how agents work, the three pillars of context, tools, and skills, MCP connections, and hands-on architecture to make you a 100x employee.
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·4 min
Spring AI 2.0: Five Key Updates Explained — Marching Toward the Age of AI Agents
Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, Tools parsing moving up, a built-in Agentic mechanism, MCP switching to Streamable HTTP, and an on-demand tool Advisor.
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·4 min
Spring AI 2.0: Five Key Updates Explained — Stepping into the Agent Era
Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, lifted Tools parsing, built-in Agentic mechanism, MCP switch to Streamable HTTP, and an on-demand tool-loading Advisor.
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·4 min
Spring AI 2.0 Explained: Five Key Updates Ushering in the Age of AI Agents
Spring AI 2.0 brings five core updates: mandatory Spring Boot 4 upgrade, Tools parsing moved up, built-in Agentic mechanism, MCP switch to Streamable HTTP, and on-demand tool-loading Advisor.
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·3 min
Pinterest Medic: Engineering an AI Agent for Automated Spark Failure Diagnosis
How Pinterest engineers built Medic for Apache Spark — a multi-agent auto-diagnosis tool — covering the evolution from a single ReAct agent, observability, log denoising, and end-to-end testing.
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·7 min
Enterprise AI Agent Security Isolation and Memory Design: NanoClaw Founder Breaks Down Real-World Lessons
NanoClaw founder David Boyd breaks down the core engineering of enterprise autonomous Agents: a triple security isolation model, LLM Wiki memory design, and the real-world path from personal Agents to team-scale deployment.
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·8 min
A Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.
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·8 min
The Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.
Read more →