#Forge guardrails
16 related articles
·2 min
Forge: Adding Reliability Guardrails to Local Model Tool Calling
Forge is an open-source Python middleware for local models (Ollama, llama.cpp, vLLM) that boosts tool-calling reliability via three-layer guardrails: validation, rescue parsing, and retry.
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·3 min
Vibe Coding vs. AI Engineering: A Practical Guide to Enterprise-Level AI Programming
From Vibe Coding to AI Engineering, explore Claude Code vs Codex tool selection, real enterprise boundaries of AI programming, and how to build maintainable AI-assisted development workflows.
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·3 min
AI Not Working? Learn to Diagnose Which Layer Is the Problem — Loop, Harness, or Context
AI agents underperforming? The root cause usually isn't the model. This guide breaks down Loop, Harness, and Context Engineering so you can diagnose the real issue fast.
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·6 min
The AI Builder's Handbook: A Complete Guide to LLM Principles, RAG Architecture, and Agent Design
From the autocomplete nature of LLMs, tokens, and context windows to RAG vector databases, the MCP protocol, and AI agent loop design — this article uses vivid analogies to unpack the reality of AI engineering.
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·4 min
Microsoft Dataverse Plugin for Coding Agents: Natural Language-Driven Enterprise Low-Code Development
Microsoft Power Platform's Dataverse plugin for coding agents supports GitHub Copilot, Claude Code, and more — enabling natural language data modeling, queries, security config, and docs generation.
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·2 min
Handing Your Life to an AI Agent? The Real Dangers of Over-Authorization
A viral Reddit dark-humor post exposes the real risks of over-authorizing AI agents. When hallucination-prone AI is granted irreversible permissions, the consequences can be catastrophic. We break down key safeguards like least privilege and Human-in-the-loop.
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·6 min
AI Agent Security in Practice: 7 Attack Techniques and a Five-Layer Defense System
An in-depth breakdown of the 7 major attack techniques against AI agents (prompt injection, data poisoning, image attacks, etc.) and a five-layer defense system, with real cases from Doubao and DeepSeek.
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·6 min
Rust AI Agent System Prompt Engineering in Practice: A Seven-Dimensional Design Guide
An in-depth analysis of the four core roles of AI Agent system prompts and the four-step tool-calling method, covering behavioral boundaries, autonomous execution principles, and trigger pattern design—helping Rust developers build high-quality agents.
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·2 min
AI App Development in Practice: Why Prompts Are the Core of Your Product
A veteran AI app developer's real-world experience reveals: what determines success for knowledge bases and Agents isn't model choice — it's prompt design.
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·7 min
Harness Engineering: The Six-Layer Engineering Framework for Enterprise AI Agent Deployment
From Prompt Engineering to Harness Engineering, a deep dive into the core challenge of truly deploying AI Agents in enterprises. This article breaks down the six-layer architecture and shares real-world Hermes Agent practice.
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·7 min
A New Core Skill for Programmers: How to Effectively Lead Your AI Agent Dev Squad
Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.
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·6 min
Getting Started with LangChain: A Deep Dive into Model and Agent Core Concepts
Deep dive into LangChain's core Model and Agent concepts, covering unified model interfaces, agent tool calling, middleware mechanisms, and key principles for building LLM applications.
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·3 min
The Complete Guide to Claude Code: Installation, Workflows & Advanced Tips
Complete guide to Claude Code: installation, agentic loop principles, the Explore→Plan→Code→Commit workflow, CLAUDE.md configuration, context management, MCP connections, and Hooks automation.
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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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·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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