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Qborfy AI

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Latest from Qborfy AI

92 recent articles

Qborfy AI

Apr 14, 2026 · Artificial Intelligence

How to Give AI a Map, Not an Encyclopedia: Mastering Context Engineering

This article explains why AI can only act on information that appears in its context window, outlines the twin problems of missing data and overload, and presents a practical methodology—including AGENTS.md maps and LangChain's LocalContextMiddleware implementation—to engineer concise, searchable context for reliable agent behavior.

AIContext EngineeringLangChain

0 likes · 29 min read

How to Give AI a Map, Not an Encyclopedia: Mastering Context Engineering

Qborfy AI

Apr 11, 2026 · Industry Insights

Why AI Agents Need Harness Engineering: Insights from OpenAI, LangChain, and Anthropic

This article explains how AI agents often stall, repeat mistakes, or diverge on complex tasks, argues that the missing piece is a well‑designed harness, and demonstrates with real‑world case studies from OpenAI, LangChain, and Anthropic how a six‑component harness can boost performance by over 13 percentage points and enable million‑line code generation.

AI engineeringAnthropicLangChain

0 likes · 12 min read

Why AI Agents Need Harness Engineering: Insights from OpenAI, LangChain, and Anthropic

Qborfy AI

Mar 31, 2026 · Artificial Intelligence

Mastering AI Agents with the Plan-and-Solve Design Pattern

The article introduces the Plan-and-Solve design pattern for AI agents, explaining how separating planning and execution improves handling of complex tasks, compares it with ReAct, provides detailed workflow diagrams, concrete examples such as weekly report generation, and offers a full Python implementation with dynamic replanning and result aggregation.

AI AgentsLLMPlan-and-Solve

0 likes · 14 min read

Mastering AI Agents with the Plan-and-Solve Design Pattern

Qborfy AI

Mar 29, 2026 · Artificial Intelligence

Mastering AI Agent Reflection: The Generate‑Reflect‑Refine Loop

This article explains the Reflection design pattern for AI agents, detailing how a three‑step generate‑reflect‑refine cycle can iteratively improve outputs, provides both a simple two‑call implementation and a structured class‑based version, and shares practical tips, benchmarks, and references to the original research.

AI AgentsLLMReflection

0 likes · 9 min read

Mastering AI Agent Reflection: The Generate‑Reflect‑Refine Loop

Qborfy AI

Mar 26, 2026 · Artificial Intelligence

Mastering ReAct: Turn LLMs into Thoughtful, Actionable AI Agents

This article explains the ReAct (Reasoning + Acting) design pattern for large language model agents, detailing its thought‑action‑observation loop, concrete examples, prompt engineering tips, full Python implementations, common pitfalls, and references to the original Google research.

AI AgentsLLMOpenAI

0 likes · 11 min read

Mastering ReAct: Turn LLMs into Thoughtful, Actionable AI Agents

Qborfy AI

Mar 24, 2026 · Artificial Intelligence

Why Full Fine‑Tuning Beats LoRA: When and How to Update Every Model Parameter

This article explains full fine‑tuning—updating all parameters of a pretrained model—to achieve the highest task performance, compares it with LoRA and prompt tuning, shows when it is appropriate, provides a step‑by‑step Hugging Face implementation, memory‑saving tricks, common pitfalls, and practical takeaways.

DeepSpeedFull Fine-tuningGPU memory

0 likes · 9 min read

Why Full Fine‑Tuning Beats LoRA: When and How to Update Every Model Parameter

Qborfy AI

Mar 18, 2026 · Artificial Intelligence

Mastering OpenClaw: How to Write Perfect Commands for AI Assistants

This guide explains why the OpenClaw AI often misinterprets vague requests, introduces a four‑element formula for clear commands, categorises three command types, provides step‑by‑step examples, practical tips, templates and troubleshooting methods so users can reliably automate tasks with the assistant.

AI assistantAI promptingOpenClaw

0 likes · 17 min read

Mastering OpenClaw: How to Write Perfect Commands for AI Assistants

Qborfy AI

Mar 17, 2026 · Operations

Install OpenClaw in Minutes: One‑Click Script, npm, and Cloud Options

This step‑by‑step guide shows how to install OpenClaw using five different methods—including the beginner‑friendly one‑click script, npm, macOS client, and cloud deployments on Tencent Cloud and Alibaba Cloud—covers prerequisite checks, API key configuration, service startup, and verification, and provides troubleshooting tips and advanced configuration options.

AIOpenClawautomation

0 likes · 30 min read

Install OpenClaw in Minutes: One‑Click Script, npm, and Cloud Options

Qborfy AI

Mar 13, 2026 · Artificial Intelligence

How OpenClaw Turns Chat Prompts into Real Actions on Your PC

OpenClaw is an open‑source, locally‑run AI assistant that integrates with QQ, Feishu and WeChat, enabling the system to receive a message, plan a workflow, execute tasks such as email handling, file organization or scheduling, and return the result without ever leaving the user's computer.

AI AgentAI assistantOpenClaw

0 likes · 13 min read

How OpenClaw Turns Chat Prompts into Real Actions on Your PC

Qborfy AI

Mar 11, 2026 · Artificial Intelligence

Mastering AI: 9 Essential Skills to Turn Everyday Tasks into Superpowers

This guide reveals why some people barely get results with AI while others boost productivity dramatically, and it teaches nine concrete skills—questioning, aesthetic sense, prompt crafting, iteration, rule‑making, criticism, compression, organization, and tutoring—illustrated through real‑world scenarios that show exactly how to combine them for maximum impact.

AIknowledge managementproductivity

0 likes · 18 min read

Mastering AI: 9 Essential Skills to Turn Everyday Tasks into Superpowers