#autonomous agents
38 related articles
Expert Opinions
Karpathy's Epic Interview: In the Soft…
·2 min
Karpathy's Epic Interview: In the Software 3.0 Era, Understanding Is Humanity's Only Moat
OpenAI co-founder Karpathy explains the Software 3.0 paradigm revolution at AI Ascent: from Vibe Coding to Agentic Engineering, programming's essence is fundamentally shifting. When AI can refactor 100K-line codebases, understanding becomes humanity's ultimate moat.
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Tech Frontiers·4 min
Anthropic Source Code Leak: Unreleased Model Codenames and Hidden Features Deep Dive
Anthropic's Claude Code source code leaked via Source Map files, exposing the million-token Capybara model, Opus 4.7/Sonnet 4.8, undercover mode, and hidden features like Buddy, Kairos, and Dream.
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Tech Frontiers
DeepSeek TUI: A Terminal AI Coding Ass…
·3 min
DeepSeek TUI: A Terminal AI Coding Assistant Built in Rust with 2.3K GitHub Stars
DeepSeek TUI is an open-source terminal AI coding tool written in Rust, optimized for DeepSeek API, dubbed Claude Code for DeepSeek. Plus: AI joint ventures, Sierra's $950M raise, and AWS Agent infrastructure updates.
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Product Reviews
Major Claude Code Update: A Complete G…
·2 min
Major Claude Code Update: A Complete Guide to Agent View and the Goal System
Deep dive into Claude Code's new Agent View and Goal system, covering multi-agent parallel management, background sessions, and result-oriented autonomous execution.
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Tutorials
8 Free AI Coding Tools: Build a Comple…
·3 min
8 Free AI Coding Tools: Build a Complete Development Workflow at Zero Cost
A systematic review of 8 free AI coding tools covering UI design, terminal agents, IDE integration, and async coding to help developers build a complete zero-cost AI development workflow.
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Product Reviews
Zenflow Hands-On Review: Spec-Driven A…
·3 min
Zenflow Hands-On Review: Spec-Driven AI Coding vs. Pure Prompt-Based Development
In-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
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Expert Opinions·3 min
Gumloop Founder: 50 AI Agents Running Your Company? Don't Fall for It
Gumloop founder Max shares the truth about AI automation: processing 4M daily workflows taught him why 50 AI Agents running a company is a lie, and why the real AI philosophy is acceleration, not replacement.
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Deep Dives·3 min
Single-Agent vs Multi-Agent: A Three-Step Decision Framework for Choosing the Right Architecture
Based on Anthropic's engineering practices, a detailed three-step decision framework for single-agent vs multi-agent architecture: bottleneck identification, technical feasibility, and business value filtering.
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Deep Dives·3 min
From Copilot to Agentic AI: Understanding AI's Evolution Through Four Stages
A systematic breakdown of AI's four-stage evolution from Chat Mode to Agentic AI, covering multi-agent architectures, ReAct framework, and MCP protocol.
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Industry Insights·2 min
Enterprise Agent Implementation Guide: From Digital Foundations to Intelligent Transformation
How can enterprises truly implement AI Agents? This guide covers digital foundations, AI strategy, building logic shifts, and implementation paths for successful Agent deployment.
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Tutorials·3 min
From Programmer to Agent Developer: A Detailed Four-Stage Learning Roadmap
A systematic four-stage learning roadmap for programmers transitioning to AI Agent development, covering core theory, ReAct and classic paradigms, Prompt engineering, and hands-on projects.
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Product Reviews·2 min
Kimi K2.6 In-Depth Review: Comprehensive Evaluation of Coding, Multi-Agent, and Frontend Development Capabilities
In-depth review of Kimi K2.6 open-source model across frontend development, multi-agent collaboration, and long-horizon tasks, covering four professional modes, 3D/SVG generation, and pricing analysis.
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Product Reviews·3 min
AI Agent Investment Research Showdown: ChatGPT vs. Kimi vs. Manus — Who Delivers Better Financial Analysis?
Testing ChatGPT, Manus, and Kimi on the same investment analysis task reveals how multi-agent architecture, fault tolerance, and parallel workflows define the real capability boundaries of AI Agents in professional finance.
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Tutorials·2 min
The Three-Layer Pyramid Model for Agent Development: From Beginner to Industrial-Grade Deployment
Deep dive into the Three-Layer Pyramid Model for Agent development, covering autonomous agents, collaborative multi-agent systems, and universal orchestration agents with a complete learning path from beginner to industrial-grade deployment.
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Tutorials
Multi-Agent Automated Coding Framework…
·3 min
Multi-Agent Automated Coding Framework: A Deep Dive into Zero-Intervention Project Delivery
Deep dive into a multi-Agent automated coding framework using file state machines, scheduler orchestration, and multi-agent collaboration to achieve fully automated development from requirements to delivery in 3.5 hours with zero intervention.
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Tutorials
Vibe Coding in Practice: Building a Mi…
·2 min
Vibe Coding in Practice: Building a Mini-OpenClaw Agent from Scratch Without Writing Code
Learn how to build a Mini-OpenClaw Agent framework using Vibe Coding with zero code, covering OpenClaw's architecture, LangChain integration, and AI-assisted development workflows.
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Industry Insights·2 min
OpenAI Codex Powers a Self-Improving Tax AI Agent: A New Paradigm for Closed-Loop Evolution
OpenAI and Thrive Holdings launch a Codex-based Tax AI with closed-loop self-improvement: error tracing, auto-fixing, and test validation. A deep dive into this new AI Agent evolution paradigm.
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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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