#human-in-the-loop AI
534 related articles
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AI Agent Learning Path from Zero: A Complete Guide from Principles to Practice
A systematic AI Agent learning path covering core principles, dev environment setup, memory management, multi-agent collaboration, and hands-on projects for beginners.
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Loop Engineering Explained: An Engineering Approach to Making AI Coding Agents Run Autonomously in Loops
A deep dive into Loop Engineering and the Rhythmic framework: how closed-loop systems replace repetitive prompting to enable autonomous AI coding agents with state management and budget control.
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From a Single Prompt to an AI Product:…
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From a Single Prompt to an AI Product: Starting Is Easy, Shipping Is Hard
AI startups begin with a prompt, but going from idea to product means overcoming major technical, product, and business challenges. A low barrier to entry doesn't mean a low barrier to success.
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Claude Code Routines Explained: Automation in Practice with Proactive AI Coding Agents
Deep dive into Claude Code Routines: build proactive AI coding agents with time-scheduled and event-driven triggers. Covers automated docs, deploy verification, and on-call investigation.
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Claude Cowork vs Codex: An In-Depth Multi-Dimensional Comparison
In-depth comparison of Claude Cowork and OpenAI Codex across UI, integrations, automation, design, and pricing to help you choose the best AI Agent tool.
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Paseo: A Unified Cockpit for Remotely Controlling Coding Agents from Your Phone
Paseo is a locally deployed remote console for coding Agents, enabling mobile monitoring of Claude Code, Codex, Copilot and more. Learn about its architecture, use cases, and security considerations.
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What Is AI Loop? The Paradigm Shift from Agents to Loop-Based Architecture
Deep dive into AI Loop architecture: how continuous-running agent swarms differ from traditional AI Agents, with applications in software development, cybersecurity, and beyond.
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From Vibe Coding to Enterprise-Grade AI Programming: A Complete Progression Path with Practical Analysis
Deep analysis of Vibe Coding's limitations, comparison of Claude Code vs Codex, and a three-layer AI engineering methodology for progressing from casual AI coding to enterprise-grade development.
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Sakana AI Enters the Defense Sector: How Generative AI Is Reshaping National Defense Software Development
Sakana AI launches Applied Team to bring generative AI to defense C2 systems and disinformation countermeasures. Deep dive into DDIL challenges, human-AI collaboration principles, and team culture.
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Sakana AI Enters Defense Intelligence: Partnering with Japanese Think Tank DEEP DIVE to Advance AI-Powered Intelligence Analysis
Sakana AI partners with Japanese think tank DEEP DIVE to apply AI to defense intelligence analysis, combining OSINT data with AI capabilities to overcome human analysis bottlenecks.
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sakana-mcp: Driving AI Scientist Autonomous Research Cycles via MCP Protocol
sakana-mcp wraps Sakana AI Scientist v2 as an MCP server, letting Claude and Cursor act as research directors to orchestrate autonomous research cycles.
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BioAgents: A Multi-Agent AI Framework for Autonomous Research in Biological Sciences
Deep dive into BioAgents multi-agent AI framework: how literature analysis and data scientist agents collaborate for autonomous deep research in biological sciences.
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Claude Code Source Leak Revealed: The 5-Step AI Coding Agent Mechanism & Practical Pitfall Guide
Deep dive into Claude Code's leaked source revealing the 5-step AI coding Agent mechanism: progressive disclosure, precise indexing, surgical edits, auto-verification & graceful termination.
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Claude Code + CC Switch Deployment Guide: Connect to DeepSeek Without an Overseas Account
Complete guide to deploying Claude Code with CC Switch proxy to connect DeepSeek V4 Pro — no overseas account needed. Covers Node.js, VS Code, and API setup.
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AI Engineering in Practice: The Progression Path from Vibe Coding to Enterprise-Level Development
Deep dive into AI engineering methodology, comparing Vibe Coding vs enterprise development, covering Claude Code, Codex tool selection, SuperPower plugin practices, and the path from prototype to production.
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·4 min
Loop Engineering from Beginner to Expert: A Complete Guide to Agent Loop Development
A deep dive into Loop Engineering covering Agent Loop workflows, code implementation (While loops and Graph patterns), and how it differs from Prompt Engineering.
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AI Progress Demands a More Nuanced Examination: A Rational Framework Beyond Hype and Panic
Current AI discourse is trapped in polarization. This article explores how to rationally assess AI's real progress, analyzes the gap between benchmarks and actual capabilities, and offers a pragmatic evaluation framework.
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Decoding Google's AI Control Roadmap: A Defense Framework for When AI Goes Off the Rails
Google releases its AI Control Roadmap, a new safety paradigm that assumes alignment may fail and builds defenses at the system architecture level.
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LangGraph Beginner's Guide: Core Advantages, Common Misconceptions, and Deployment Practices Explained
A comprehensive guide to LangGraph's three core advantages, its relationship with LangChain, short-term and long-term storage mechanisms, and deployment strategies for development and production environments.
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ARS Framework from Shanghai Jiao Tong University: Enabling Automated AI Research with Trustworthy Conclusions
Shanghai Jiao Tong University's ARS open-source framework solves trustworthiness challenges in autonomous AI research with evidence traceability and independent verification. Papers completed via ARS have been accepted at academic conferences.
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