#Agentic AI
15 related articles
Product Reviews·3 min
Zor Full-Stack AI Engineer: Build Complete Production-Ready Apps with a Single Prompt
Deep dive into Zor, the full-stack AI engineer platform that builds complete apps via natural language. Covers auth, databases, Stripe payments, AI image generation, and comparisons with Cursor and Lovable.
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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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Industry Insights·3 min
Replit Partners with Visa: How AI Agentic Payments Are Reshaping the Future of Transactions
Replit partners with Visa to explore AI Agentic Payments. Learn how AI agents can autonomously complete payments and what this means for developers and fintech.
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Deep Dives·3 min
NVIDIA Vera Rubin Platform Deep Dive: Solving the Scalability Challenge of Agentic AI Inference
Deep dive into NVIDIA's Vera Rubin platform Pod-level architecture and next-gen NVLink, revealing how it solves Agentic AI inference scalability bottlenecks and the industry shift from training-first to inference-first.
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Tech Frontiers·2 min
Codex CLI 0.128.0 Released: /goal Command Enables Automatic Looping Until Objective is Complete
OpenAI Codex CLI 0.128.0 introduces the /goal command, enabling autonomous looping until objectives are met or token budgets are exhausted. Analysis of its Ralph Loop implementation and safety controls.
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Deep Dives·4 min
The Agentic AI Explosion: A Complete Guide to the Paradigm Shift from Generative to Agentic AI in 2026
In 2026, the AI industry shifts from generative to Agentic AI. Deep dive into GPT-5.5 agent capabilities, Claude's autonomous learning, Physical AI deployment, DeepSeek V4, inference optimization, and the global AI competition landscape.
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Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
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Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Industry Insights·2 min
Uber's AI Agent Platform Now Contributes 11% of PRs — The Engineering Role Is Transforming
Uber reveals its internal Agentic Developer Platform now generates 11% of all PRs. Learn how Uber moved from AI-assisted to AI-autonomous coding and how engineering roles are transforming.
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Deep Dives·2 min
Cursor SDK /orchestrate Explained: Recursive Multi-Agent Collaboration for Complex Programming Tasks
Cursor SDK launches /orchestrate skill, using recursive multi-agent spawning for complex tasks with 20% Token savings and 80% faster cold starts.
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Product Reviews·1 min
Kilo Code: Open-Source AI Coding Agent Platform with Nearly 20K Stars
Kilo Code is an open-source Agentic Engineering Platform with nearly 19K GitHub stars, helping developers build, ship, and iterate software with autonomous AI agents.
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Tech Frontiers·2 min
Codex CLI /goal Command Explained: AI Coding Agent Loops Automatically Until the Goal Is Done
Deep dive into Codex CLI 0.128.0's new /goal command: how prompt templates drive autonomous agent loops, token budget controls, and AI coding agents that work until the goal is done.
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Tutorials·3 min
Codex CLI /goal Command Explained: Set a Goal and Auto-Loop Until Completion
Codex CLI 0.128.0 adds the /goal command for goal-driven auto-loop execution. This article explains its core mechanism, prompt engineering implementation, and Ralph Loop pattern for AI coding agents.
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Deep Dives·2 min
Codex CLI /goal Command Explained: A New Paradigm for Goal-Driven Autonomous Coding Agents
OpenAI Codex CLI 0.128.0 adds the /goal command, implementing Ralph Loop-style goal-driven autonomous loops. Learn about its prompt engineering design, token budget safety mechanisms, and impact on coding agents.
Read more →