BestHub
Sign in
Tagged articles
17 articles
Page 1 of 1
AI Engineer Programming
AI Engineer Programming
Apr 24, 2026 · Artificial Intelligence

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

The article traces the shift from Prompt Engineering to Context Engineering and now Harness Engineering, analyzing their origins, methods, limitations, and future directions such as Coordination, Intent, Ecosystem, and Cognition engineering, while emphasizing the decreasing human involvement and increasing system autonomy.

AI agentsAgent SystemsContext Engineering
0 likes · 24 min read
From Prompt to Context to Harness Engineering: The Next Evolution of AI Agent Design
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 22, 2026 · Artificial Intelligence

Hands‑On Kimi K2.6 + Hermes: A Karpathy‑Style Step‑by‑Step Guide

This article presents a detailed, hands‑on tutorial for deploying Kimi K2.6 with Hermes and Obsidian, showcases multi‑modal video note‑taking, skill creation, self‑evolving LLM‑driven knowledge bases, large‑scale agent clusters, and discusses both the strengths and current limitations of the system.

Agent SystemsHermesKimi K2.6
0 likes · 10 min read
Hands‑On Kimi K2.6 + Hermes: A Karpathy‑Style Step‑by‑Step Guide
Architecture Musings
Architecture Musings
Apr 20, 2026 · Industry Insights

ThoughtWorks Technology Radar Vol. 34: Engineering Practices and Cognitive Shifts in the Agent Era

The article analyses ThoughtWorks' 34th Technology Radar, revealing how the rise of AI agents forces a reassessment of software engineering fundamentals, introduces semantic diffusion, cognitive debt, security risks, and highlights both newly adopted tools like Kafbat UI and Typer and a set of cautionary practices that demand tighter control and context engineering.

AIAgent SystemsCognitive Debt
0 likes · 34 min read
ThoughtWorks Technology Radar Vol. 34: Engineering Practices and Cognitive Shifts in the Agent Era
Machine Heart
Machine Heart
Apr 19, 2026 · Artificial Intelligence

Are Small Models the Core Component of Agent Systems?

The article analyzes how advancing small‑model capabilities are shifting agent system design from merely checking if a model can run under resource limits to evaluating its suitability for specific tasks, thereby redefining model selection logic and workflow partitioning.

Agent SystemsLLM scalingModel selection
0 likes · 7 min read
Are Small Models the Core Component of Agent Systems?
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 15, 2026 · Industry Insights

Can Harness Engineering Turn AI Agents into Stable Software Systems?

The article analyzes how AI‑driven agents reshape software engineering, tracing historical precedents, exposing the uncontrollability of open‑loop AI code generation, and proposing Harness Engineering—a structured, feedback‑rich environment that turns continuous code generation loops into stable, controllable systems.

AIAgent SystemsHarness Engineering
0 likes · 12 min read
Can Harness Engineering Turn AI Agents into Stable Software Systems?
ArcThink
ArcThink
Apr 6, 2026 · Artificial Intelligence

How Harness Engineering Let a 3‑Person Team Write 1 Million Lines of Code in 5 Months

Harness Engineering combines systematic prompts, context management, and robust validation loops to turn powerful LLMs into reliable agents, enabling a three‑engineer team to produce about one million lines of production code in five months and boosting LangChain’s benchmark ranking by 25 places, proving that well‑designed harnesses outweigh model improvements by an order of magnitude.

AI EngineeringAgent SystemsContext Engineering
0 likes · 25 min read
How Harness Engineering Let a 3‑Person Team Write 1 Million Lines of Code in 5 Months
Advanced AI Application Practice
Advanced AI Application Practice
Apr 3, 2026 · Industry Insights

In-Depth Breakdown of the AI Business Architect Role and Interview Strategies

This article dissects the AI Business Architect position, detailing its true responsibilities, core competency formula, key role personas, supply‑demand matching scenarios, end‑to‑end technical architecture (including RAG and multi‑agent design), evaluation metrics, and provides concrete interview questions with model answers to help candidates prepare effectively.

AI ArchitectureAgent SystemsInterview Prep
0 likes · 18 min read
In-Depth Breakdown of the AI Business Architect Role and Interview Strategies
ArcThink
ArcThink
Apr 1, 2026 · Artificial Intelligence

Inside Claude Code: 1,900‑File Source Dive Reveals Six‑Layer Architecture

After a source‑map leak exposed Claude Code’s 1,900 TypeScript files, this analysis dissects its six‑layer architecture, dynamic prompt assembly, four‑level caching, 60+ tool governance pipeline, six built‑in agents, five context‑compression strategies, and the real engineering trade‑offs hidden beneath the product.

AI EngineeringAgent SystemsContext Compression
0 likes · 31 min read
Inside Claude Code: 1,900‑File Source Dive Reveals Six‑Layer Architecture
Design Hub
Design Hub
Mar 28, 2026 · Artificial Intelligence

Why Harness Engineering Is Emerging as a New Kind of Company

The AI community is shifting its focus from model performance to building runnable, observable, and scalable agent systems, a trend illustrated by the rise of Harness Engineering, Open Agents Company, and Agent Matrix across X discussions, GitHub projects, and developer meetups.

AI agentsAI infrastructureAgent Matrix
0 likes · 14 min read
Why Harness Engineering Is Emerging as a New Kind of Company
phodal
phodal
Mar 10, 2026 · Industry Insights

Why AI Needs a New Engineering Paradigm: From Human‑First to Agent‑Aware Systems

The article analyzes how generative AI is reshaping software development, exposing the mismatch between AI's rapid code generation and traditional human‑centric engineering processes, and proposes a new "Harness Engineering" model that emphasizes system readability, defensive boundaries, and continuous feedback loops for safe AI‑assisted coding.

Agent SystemsDevOpsengineering management
0 likes · 13 min read
Why AI Needs a New Engineering Paradigm: From Human‑First to Agent‑Aware Systems
Tencent Technical Engineering
Tencent Technical Engineering
Feb 2, 2026 · Artificial Intelligence

Why Neural Networks Are the Hidden Engine Behind Modern AI: From Basics to Large Language Models

This comprehensive guide walks through the fundamentals of neural networks, activation functions, training methods, and how they power large language models, while also covering tokenization, self‑attention, transformer architectures, AI infrastructure, and practical usage through agents and retrieval‑augmented generation.

Agent SystemsArtificial IntelligenceGPU infrastructure
0 likes · 75 min read
Why Neural Networks Are the Hidden Engine Behind Modern AI: From Basics to Large Language Models
Tencent Technical Engineering
Tencent Technical Engineering
Jan 23, 2026 · Artificial Intelligence

Unlocking AI Infra: Distributed Inference, PD Separation, TileLang, and Next‑Gen Agent Infrastructure

This article surveys the 2025 AI infrastructure landscape, covering distributed inference with PD‑separation, dynamic DOPD scheduling, AFD attention‑FFN disaggregation, high‑bandwidth cross‑machine communication libraries, the TileLang programming model, RL train‑inference decoupling via SeamlessFlow, and secure, low‑latency agent infra designs for future large‑scale models.

AI infrastructureAgent SystemsGPU communication
0 likes · 27 min read
Unlocking AI Infra: Distributed Inference, PD Separation, TileLang, and Next‑Gen Agent Infrastructure
Fighter's World
Fighter's World
Dec 26, 2025 · Industry Insights

Where Is AI Heading in 2026 After the 2025 Sprint?

The article analyzes the rapid weekly turnover of leading LLM benchmarks in 2025, declining compute costs, the shift from chatbots to multi‑step agents, the widening pilot‑to‑production gap, and predicts that 2026 will be defined by infrastructure constraints, AI‑first product design, and accelerated enterprise adoption.

AI infrastructureAI product strategyAI trends
0 likes · 25 min read
Where Is AI Heading in 2026 After the 2025 Sprint?
HyperAI Super Neural
HyperAI Super Neural
Dec 19, 2025 · Artificial Intelligence

Weekly AI Paper Digest: Open-Source LLMs, Agent Systems, and Long-Context Reasoning

This week’s AI paper roundup reviews six recent research works—including RecGPT‑V2, Nemotron 3 Nano, FrontierScience benchmark, AutoGLM, Deeper‑GXX, and QwenLong‑L1.5—highlighting advances in large‑language‑model‑driven recommendation, Mixture‑of‑Experts models, expert‑level scientific reasoning, GUI‑based foundation agents, graph neural network deepening, and ultra‑long‑context inference.

AI researchAgent SystemsLong-context reasoning
0 likes · 6 min read
Weekly AI Paper Digest: Open-Source LLMs, Agent Systems, and Long-Context Reasoning
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Nov 15, 2025 · Artificial Intelligence

How to Build Robust Function Call Training Data for LLM Agents

This article explains why function call capabilities in large language model agents require dedicated training, outlines the four core abilities to teach, describes the structure and sources of effective training data, and compares lightweight LoRA fine‑tuning with full supervised fine‑tuning approaches.

Agent SystemsData GenerationLLM training
0 likes · 11 min read
How to Build Robust Function Call Training Data for LLM Agents
DevOps
DevOps
Apr 22, 2025 · Artificial Intelligence

How to Think About Agent Frameworks: A Critical Review of Design Patterns, Challenges, and LangGraph

This article critically examines popular agent frameworks, compares OpenAI and Anthropic definitions, highlights the core difficulty of maintaining proper context for reliable agents, and presents LangGraph’s declarative and imperative features along with practical guidance for building production‑grade agent systems.

AI EngineeringAgent FrameworksAgent Systems
0 likes · 24 min read
How to Think About Agent Frameworks: A Critical Review of Design Patterns, Challenges, and LangGraph