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Latest from KooFE Frontend Team

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KooFE Frontend Team

Sep 30, 2026 · Artificial Intelligence

Intent Recognition Evolved: From Rule-Based Classification to Goal-Oriented Agent Harnesses

This article traces intent recognition's evolution from rules to LLMs, explores multimodal perception and agentic action as orthogonal expansions, details its role as a layered decision layer in Agent Harness, and presents a four-category intent routing system with deterministic and model-based gates for Feishu-based conversational interfaces.

Conversational InterfacesIntent ClassificationLLM applications

0 likes · 11 min read

Intent Recognition Evolved: From Rule-Based Classification to Goal-Oriented Agent Harnesses

KooFE Frontend Team

Sep 21, 2026 · R&D Management

AI Reshapes R&D: From Skill-Driven to Intent-Driven Paradigm

This article analyzes how AI transforms R&D from a skill-driven to an intent-driven paradigm, detailing four stages of AI autonomy, productivity gains in speed, quality, and throughput, organizational shifts toward end-to-end builders and agent layers, management evolution into system architects, and the emergence of Frontline Deployment Engineers (FDE) as frontend developers expand scope.

AI autonomy stagesAI-driven R&DFDE

0 likes · 14 min read

AI Reshapes R&D: From Skill-Driven to Intent-Driven Paradigm

KooFE Frontend Team

Aug 11, 2026 · Artificial Intelligence

Building a Music Streaming Site with AI‑Generated Code

The author documents how, using Codex CLI on an aging Mac, they leveraged AI to automatically generate over 6,000 lines of code, set up comprehensive documentation, containerized deployment, and Cloudflare hosting to create a functional music website in just two evenings, detailing costs and workflow.

AI codingCloudflare R2Codex CLI

0 likes · 6 min read

Building a Music Streaming Site with AI‑Generated Code

KooFE Frontend Team

Jul 18, 2026 · Artificial Intelligence

Understanding the Seven‑Layer ETCLOVG Architecture for Production‑Grade AI Agents

The article introduces the ETCLOVG framework—a standardized seven‑layer architecture that separates structural core functions from control‑plane capabilities, detailing each layer's purpose and how together they define the essential engineering abilities required for robust, production‑level AI agent systems.

AI AgentsETCLOVGExecution Environment

0 likes · 4 min read

Understanding the Seven‑Layer ETCLOVG Architecture for Production‑Grade AI Agents

KooFE Frontend Team

Jul 16, 2026 · Artificial Intelligence

Why Do Hundreds of Skills Slow Down GPT‑5.6 Codex?

After upgrading to GPT‑5.6, many Codex users find that the large number of accumulated Skills no longer speeds up work but actually lengthens execution time, increases token consumption, and adds extra tool calls because the model now reads and enforces Skill rules more rigorously, turning Skills from execution helpers into contextual overhead.

AI model performanceAgentGPT-5.6

0 likes · 12 min read

Why Do Hundreds of Skills Slow Down GPT‑5.6 Codex?

KooFE Frontend Team

Jul 13, 2026 · Artificial Intelligence

From Prompt to Context to Harness: The Evolution of AI Agent Engineering

This article surveys the progression of AI agent engineering—from early prompt engineering focused on crafting input text, through context engineering that manages information flow, to harness engineering which builds reliable, secure agent systems—detailing definitions, techniques, limitations, and the four core modules needed for robust agents.

AI AgentAgent RuntimeContext Engineering

0 likes · 8 min read

From Prompt to Context to Harness: The Evolution of AI Agent Engineering

KooFE Frontend Team

Jul 11, 2026 · Information Security

Why Google Removed ModHeader: Inside the Spyware Supply‑Chain Attack

Google removed the popular ModHeader Chrome extension after security researchers reverse‑engineered version 7.0.18 and uncovered a hidden spyware SDK that harvests visited domains, encrypts them, and exfiltrates the data to a fake Stanford‑studies endpoint, with a dormant kill‑switch ready for activation via an update.

Chrome extensionModHeaderRequestly

0 likes · 5 min read

Why Google Removed ModHeader: Inside the Spyware Supply‑Chain Attack

KooFE Frontend Team

Dec 14, 2025 · Artificial Intelligence

Boost LLM Reasoning with Few‑Shot Chain‑of‑Thought Prompting Techniques

This article explains how Few‑shot Chain‑of‑Thought (CoT) prompting works, presents a concrete example, and introduces advanced variants such as Contrastive CoT, Complexity‑based Prompting, Active Prompting, Memory‑of‑Thought, and Automatic CoT to improve large language model reasoning accuracy.

AI ReasoningChain-of-ThoughtFew-shot

0 likes · 10 min read

Boost LLM Reasoning with Few‑Shot Chain‑of‑Thought Prompting Techniques

KooFE Frontend Team

Dec 13, 2025 · Artificial Intelligence

Unlocking LLM Reasoning: Advanced Chain‑of‑Thought Prompting Techniques Explained

This article explains how Chain‑of‑Thought prompting and its variants—zero‑shot CoT, Thread of Thought, Tabular CoT, Analogical Prompting, and Step‑back Prompting—enable large language models to perform multi‑step reasoning by breaking problems into intermediate steps, with practical prompts, examples, and implementation details.

Zero-Shot Learningchain-of-thoughtreasoning

0 likes · 12 min read

Unlocking LLM Reasoning: Advanced Chain‑of‑Thought Prompting Techniques Explained

KooFE Frontend Team

Nov 6, 2025 · Artificial Intelligence

Mastering Few-Shot Prompting: Principles, Bias Fixes, and Example Design

Few-shot prompting uses a handful of task examples within the prompt to guide large language models, improving performance, adaptability, and reducing data needs, while careful design of example quantity, order, label distribution, format, and bias mitigation—through calibration and advanced methods like reinforced and unsupervised ICL—optimizes results.

bias mitigationexample designfew-shot prompting

0 likes · 11 min read

Mastering Few-Shot Prompting: Principles, Bias Fixes, and Example Design