#Governing AI Agents
22 related articles
·3 min
AI Modeling of Human Spatial Reasoning: A Breakthrough Path from Cognitive Experiments to Computational Models
Exploring how AI builds cognitive computational models from human spatial reasoning experiments, analyzing LLM spatial cognition gaps and Embodied AI applications.
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·3 min
Building an Intelligent Data Analysis Agent: A Complete Guide to Interface Alignment and SSE Streaming Response Integration
A practical guide to interface alignment, SSE streaming integration, and end-to-end testing for enterprise AI Agent projects — eliminate wasted debugging and ship faster.
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Self-Hosted Voice AI Assistant: Bringi…
·2 min
Self-Hosted Voice AI Assistant: Bringing Conversational Intelligence to Asterisk/FreePBX
Explore a self-hosted voice AI assistant built for Asterisk and FreePBX: keep data on-premises, integrate with existing PBX, replace legacy IVR, and deploy local voice intelligence affordably.
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·3 min
OpenCode In-Depth Review: Can This Open-Source Coding Agent Replace Claude Code?
OpenCode is an open-source terminal coding agent with 180K+ GitHub stars, supporting hundreds of models and a dual-layer agent architecture — completely free. See how it compares to Claude Code.
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·3 min
Adversarial Testing of AI Agents in the Terminal via MCP
Learn how to use MCP (Model Context Protocol) to run adversarial tests on AI agents in the terminal, covering prompt injection, privilege escalation, and dangerous command execution scenarios.
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·2 min
GPT-Red: OpenAI's Internal Red-Team Security Tool That Uses AI to Attack Its Own Models
GPT-Red is OpenAI's internal red-team tool that auto-generates prompt-injection attacks against AI agents, turning successful attacks into training data to harden future GPT models.
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·7 min
OpenClaw vs Hermes: An In-Depth Comparison and Selection Guide for AI Agent Tools
An in-depth comparison of OpenClaw and Hermes Agent, covering skill management, memory mechanisms, security, and gateway configuration to help you find the right AI agent solution.
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·3 min
Kastor: A New Approach to Managing AI Agents with Declarative Specs
Kastor is an open-source project that brings IaC-style declarative specs to AI Agent management, inspired by Terraform — solving reproducibility, collaboration, and auditability challenges.
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·3 min
Harness Architecture Explained: The Next-Generation Design Paradigm for Agent Development
A deep dive into Harness Architecture — the next-gen Agent design paradigm. Covers its evolution from prompt engineering and context engineering, multi-agent collaboration, sandbox security, feedback loops, and why it's a must-have for LLM developer interviews.
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·3 min
Benchmarking Popular Claude Skill Libraries: A 5-Step Core Pattern for AI Agent Development
A deep-dive evaluation of Addy Osmani, Matt Pocock, and Gary Tan's skill libraries, distilling a 5-step Research→Prototype→Plan→Build→Test agent dev loop and why the best skill system is always your own.
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·7 min
AI Agent Development: A Four-Stage Competency Model from 15K to 40K RMB Salary Growth Path
A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).
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·3 min
Former Google Executive Mo Warns: A Massive AI Shakeup Is Coming — Four Survival Skills You Must Master
Former Google X CBO Mo Gawdat warns AI will disrupt the job market within 2-3 years, with some industries facing 30% unemployment. He outlines four survival skills and predicts education will be completely transformed.
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·3 min
Claude Code vs Codex: A Deep Comparison — Who Wins When the Tech Converges
Deep comparison of Claude Code vs OpenAI Codex across first-mover advantage, architecture, market share, and reliability. Discover what truly matters when AI coding tools converge.
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·3 min
Sonar Tests Code Quality Across 53 LLMs: Claude Has the Most Security Vulnerabilities, GPT-5 Code Volume Surges 5x
Sonar evaluates 53+ LLMs on 4,444 Java tasks: Claude has the highest security vulnerability density at 300/million lines, GPT-5 code volume surges 5x to 1.2M lines. Deep analysis of real-world code quality.
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Industry Insights·2 min
The Truth About Enterprise AI Adoption: 89% Claim to Use It, But Only a Third Have Scaled
89% of enterprises claim to use AI, but only a third have scaled it. Explore the real gaps, SME risks, disappearing entry-level jobs, and the rise of AI Agents in 2025.
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Tutorials·2 min
Lost Code from Parallel AI Development? CLAUDE.md + Git Worktree Is the Permanent Fix
Losing code when running multiple Claude sessions in parallel? Learn how CLAUDE.md rules plus Git Worktree automatically isolate workspaces and enforce delivery to prevent code loss.
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Tutorials·4 min
AI Agent Memory Architecture Design: Four-Layer Partitioning + Bitemporal Modeling Practical Guide
A deep dive into production-grade AI Agent memory architecture covering four-layer partitioning, bitemporal modeling, and skill extraction to eliminate hallucinations and historical amnesia.
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Product Reviews·3 min
Jules Review: Is Google's Free AI Coding Agent Worth It? A Deep Comparison with Cursor
Deep review of Google's free AI coding agent Jules — covering GitHub integration, async coding, voice summaries, and a full comparison with Cursor and GitHub Copilot.
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Deep Dives·3 min
AgentPay: A Deep Dive into the Decentralized Payment Marketplace for Autonomous AI Agent Transactions
Deep dive into AgentPay, an open-source project enabling AI agents to autonomously provide DeFi optimization, smart contract auditing services and settle payments via stablecoins in a decentralized marketplace.
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Tutorials·3 min
Andrew Ng's New Course: A Practical Guide to Data Governance for Enterprise AI Agents
Andrew Ng and Databricks launch an AI Agent data governance course covering least privilege principles, Unity Catalog permissions, MLflow tracing, and a complete governance lifecycle from build to deployment. Free to learn.
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