#agent guardrails
229 related articles
·4 min
The Complete AI Agent Engineering Tech Stack: A Practical Guide to 100x Development Efficiency
Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.
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·4 min
Claude Fable 5 Hands-On Review: Crushes GPT 5.5, But the Cost Is Brutal
In-depth hands-on review of Claude Fable 5's coding capabilities through full-stack and long-form complex tasks, comparing performance, costs, and use cases vs GPT 5.5 and Opus 4.8.
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·3 min
Nexent Open-Source Platform: Zero-Code Auto-Generation of Production-Grade AI Agents
Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.
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·4 min
OpenAI Engineer's Practice: Agent-Driven Development Methodology in the Era of Free Code
OpenAI engineer Ryan Lopopolo shares 9 months of pure AI agent coding practice, revealing core methodologies including prompt engineering, automated code review, and skill design in the new paradigm where code is free.
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·2 min
Root Causes of Long-Running AI Agent Failures and a Five-Layer Architecture for Control
Analyze the three root causes of long-running AI Agent failures — state loss, planning drift, and verification failure — with a five-layer architecture solution and six actionable engineering rules.
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·2 min
Andrew Ng's Agent Skills Tutorial: A Complete Guide to Teaching AI Agents New Skills
A deep dive into Andrew Ng and Anthropic's Agent Skills course: how to empower AI agents like Claude Code with new capabilities through standardized skill files, progressive loading, and MCP integration.
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·4 min
Unity MCP Hands-On Guide: Lessons Learned from AI-Powered Game Engine Operations
In-depth hands-on guide to Unity MCP setup and usage, covering environment config, run_command best practices, Prefab sandbox workflows, and a comparison of Copilot, Claude Code, Codex, and DeepSeek.
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·3 min
Hooks and Skills: A Guide to Upgrading AI Programming Workflows from Manual Reminders to Automated Systems
Deep dive into Claude Code's Hooks and Skills mechanisms. Learn to build safe, reliable AI programming workflows with a three-layer architecture (Cloud.md + Hooks + Skills).
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·2 min
Claude Code Hooks: A System-Level Safety Lock for AI Programming
Deep dive into Claude Code Hooks: how Pre-tool and Post-tool Hooks create system-level safety guardrails for AI programming, from sensitive file protection to automated code standards.
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·2 min
The Right Way to Use Claude Code Sub-Agents: 3-5 Beat 100 Every Time
Deep dive into Claude Code Sub-Agent mechanics: from 5 built-in Agents to custom configs, comparing ECC, Superpowers, and GizTech community solutions.
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·3 min
AI Agent Productivity Guide for Developers: Practical Methods to Automate 84% of Non-Coding Work
Developers spend 84% of their time on non-coding tasks. Learn how to use AI Agents to automate Jira tickets, tech docs, and multi-project management with Claude Code and Tmux workflows.
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·1 min
Claude Cowork Usage Limits Doubled: Anthropic Temporarily Boosts AI Collaboration Capacity
Anthropic announces Claude Cowork usage limits doubled for one month, enabling users to handle more complex tasks and longer workflows. Learn about the impact and practical tips.
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·1 min
GPT-Rosalind: A Deep Dive into OpenAI's First Frontier Model for Scientific Research
OpenAI launches GPT-Rosalind, its first frontier AI model for biology, drug discovery, and translational medicine. A deep dive into its capabilities, trusted access deployment, and industry impact.
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·4 min
Firebase AI Logic Update: Expanded Model Support and Enhanced Output Integrity Explained
Firebase AI Logic gets major updates at Google I/O, expanding AI model support and enhancing output integrity. Learn how these changes impact developers.
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·4 min
OpenAI Red Teaming Revealed: How Models Get 'Broken' Before Release
OpenAI reveals a critical pre-release step: dedicated red teams break and stress-test AI models. Learn how red teaming works, industry safety trends, and practical implications for developers.
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·4 min
OpenAI Red Team Testing Revealed: How Models Get 'Broken' Before Release
OpenAI reveals a critical pre-release step: dedicated red teams break and stress-test AI models. Learn how red teaming works, industry safety trends, and practical implications for developers.
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Tutorials·3 min
Building an AI Software Factory from Scratch: A Cursor Engineer's Hands-On Experience with Multi-Agent Collaboration
Cursor engineer Eric shares practical insights on building an AI software factory: automation levels, guardrail design, parallel Agent management, and scaling to 1000+ Agents for 24/7 development.
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Deep Dives·2 min
MCP and A2A Protocols Explained: The USB Era of Agent Interoperability
A deep dive into MCP (Model Context Protocol) and A2A (Agent-to-Agent Protocol) — their architecture, core features, and how they work together to enable plug-and-play agent interoperability.
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Deep Dives·3 min
Deep Dive into Hermes Agent Self-Evolution: The GIPA Algorithm and Engineering Practice
Deep analysis of NousResearch's Hermes Agent Self Evolution project: GIPA genetic Pareto prompt evolution algorithm, six-step optimization loop, and five guardrail mechanisms for real-world Agent self-evolution.
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Tutorials·2 min
Five Mastery Levels of Claude: From Basic Q&A to Architect-Level Autonomous Systems
Based on 400+ hours of hands-on experience, a systematic breakdown of five progressive Claude mastery levels: from basic Q&A to architect-level autonomous systems with specific methods for each.
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