#Agentic AI
873 related articles
·3 min
Agentic Loop in Practice: Lessons from 86 AI Agents Building a GTA 6 Prototype in 22 Hours
A developer used an Agentic Loop with 86 AI agents over 22 hours to build a GTA 6-style 3D game prototype from scratch. Key insights on structured JSON debugging, multi-agent orchestration, and AI coding boundaries.
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·3 min
Two Working Modes of Agentic AI: The Greenhouse and Lens Framework Explained
Deep dive into the Greenhouse and Lens modes of Agentic AI — understanding how agents excel in breadth exploration vs. precision convergence to optimize AI programming workflows.
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·2 min
Grok 4.5 Released: A Next-Gen AI Model Targeting Coding and Agentic Tasks
Grok 4.5 is officially released, purpose-built for coding, agentic tasks, and knowledge work. A deep dive into its core positioning, efficient reasoning, three key use cases, and value for developers.
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·3 min
Getting Started with Codex: A Beginner's Guide to AI Agentic Coding Tools
A detailed guide to getting started with Codex and Claude Code AI agentic coding tools, from environment setup to hands-on practice, helping beginners master AI programming assistants.
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·3 min
Getting Started with Codex: A Zero-to-Hero Guide to AI Agentic Coding Tools
A detailed guide to getting started with Codex and Claude Code—two leading AI agentic coding tools. From environment setup to hands-on practice, even beginners with no coding experience can master AI programming assistants.
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·2 min
RingCentral Hackathon: Agentic AI Innovation in Practice
The RingCentral China Hackathon, themed on Agentic AI, gathered top engineering teams. This article explores agent AI's evolution, champion team Stargate, and China's developer culture.
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·2 min
RingCentral Hackathon: Agentic AI Innovation in Action
The RingCentral China Hackathon, themed on Agentic AI, gathered top engineering teams. This article explores agent AI's evolution, champion team Stargate, and China's unique developer culture.
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·2 min
RingCentral Hackathon: A Real-World Chronicle of Agentic AI Innovation
The RingCentral China Hackathon, themed on Agentic AI, gathered top engineering teams. This article explores the evolution of agentic AI, champion team Stargate's engineering skill, and the unique value of China's developer culture.
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GitHub Daily · July 24: Agentic Tools …
·3 min
GitHub Daily · July 24: Agentic Tools Blossom Everywhere, From CMS to Databases Embracing AI
GitHub Trending July 24: Agentic capabilities go from concept to standard, with Instatic and Chat2DB embedding AI deeply into CMS and database clients.
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GitHub Daily · July 24: Agentic Tools …
·3 min
GitHub Daily · July 24: Agentic Tools Blossom Everywhere, from CMS to Databases Embracing AI
GitHub Trending July 24: Agentic capabilities go from concept to standard feature. Instatic and Chat2DB deeply integrate AI into CMS and database clients, while dive-into-llms remains the go-to Chinese LLM tutorial.
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·2 min
Agent Loop Explained: Core Principles and Implementation of the Agentic Cycle
A deep dive into the Agent Loop: how agents autonomously cycle through think→act→think, the difference from regular LLMs, ReAct paradigm origins, and how to implement one from a while loop.
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Agentic Loop Explained: The Three-Loop…
·2 min
Agentic Loop Explained: The Three-Loop Architecture of Reasoning, Tool Use, and Orchestration
A deep dive into the Agentic Loop — breaking down the three-layer architecture of reasoning, tool use, and orchestration to help developers build and debug reliable AI agent systems.
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·2 min
Meta Launches Muse Spark 1.1: Targeting Enterprise AI Coding and Agentic Automation
Meta launches Muse Spark 1.1, an AI coding assistant targeting enterprise agentic workloads, automated bug fixing, and large-scale code migration to compete with GitHub Copilot, Cursor, and Claude Code.
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·5 min
Agentic MapReduce: The Key Architecture for AI Agents to Achieve Distributed Reasoning Across Entire Codebases
Cognition's Agentic MapReduce architecture combines classic distributed computing with autonomous agents to break LLM context window limits, enabling multi-Agent parallel reasoning across entire codebases.
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·4 min
Reinforcement Learning for AI Agents: A Deep Dive into RLHF and Agentic RL
A deep dive into RL for AI agents: from RLHF to Agentic RL, covering PPO vs. GRPO, sparse rewards, tool-calling optimization, and verifiable rewards.
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·7 min
Agentic AI Development in Practice: Evaluation and Error Analysis Are the Real Competitive Edge
Cut through the Agentic AI hype to see the real value of agentic applications. Based on Andrew Ng's course, learn why Evals and error analysis—not framework choice—separate top developers.
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·7 min
Agentic AI Reshapes Genomic Interpretation: A SOTA Case Study in Interstitial Lung Disease Diagnosis
How Agentic AI achieves SOTA performance in interstitial lung disease (ILD) genomic interpretation through autonomous planning, multi-step reasoning, and tool calling—and its clinical impact.
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·3 min
Agentic AI in Practice: Core Principles, Engineering Challenges, and Practical Recommendations
A deep dive into Agentic AI: core components (planning, tool calling, memory), engineering challenges (reliability, cost, safety), and practical development recommendations for production deployment.
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·3 min
Agentic Coding: How AI Agents Are Reshaping Legacy System Modernization
Developers spend 60%+ of their time understanding legacy code. Agentic Coding uses AI Agents to autonomously explore codebases, map hidden dependencies, and generate tests—turning legacy modernization from risky archaeology into a controlled engineering process.
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Product Reviews·1 min
V0 Agentic AI Hands-On: Building a Full-Stack App with Payments in a Single Prompt
Hands-on review of V0's new Agentic AI mode: building a real-time collaborative canvas with Stripe payments. Compared with Bolt and Loveable, plus the optimal V0 + Claude Code workflow.
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