BestHub
Sign in
Tagged articles
9 articles
Page 1 of 1
DataFunTalk
DataFunTalk
May 28, 2026 · Artificial Intelligence

The Most Comprehensive Survey on Agent Harness Engineering Revealed

This article summarizes the 71‑page survey "Agent Harness Engineering: A Survey", detailing the shift from prompt to context to harness engineering, introducing the seven‑layer ETCLOVG framework, benchmark results showing up to 10× gains, and arguing that future competition will focus on the engineering shell surrounding LLM agents rather than model size alone.

AI SystemsAgentFramework
0 likes · 15 min read
The Most Comprehensive Survey on Agent Harness Engineering Revealed
ZhiKe AI
ZhiKe AI
Apr 25, 2026 · Industry Insights

Harness Engineering: The Hottest New AI Engineering Paradigm of 2026

Harness Engineering, now buzzing across the tech community, promises a ten‑fold productivity boost by replacing hand‑written code with a structured AI‑driven system, and the article breaks down its definition, evolution from Prompt to Context to Harness, core components, real‑world examples, and the associated risks and debates.

AI SystemsAI safetyHarness Engineering
0 likes · 9 min read
Harness Engineering: The Hottest New AI Engineering Paradigm of 2026
Sohu Tech Products
Sohu Tech Products
Apr 15, 2026 · Artificial Intelligence

Why Harness Engineering Is the Next Evolution in AI System Design

This tutorial explains the three-stage evolution from Prompt Engineering to Context Engineering and finally Harness Engineering, detailing their motivations, core components, practical implementations, and why stable, end‑to‑end AI agents require a full harness to manage tasks, context, tools, execution, state, and error recovery.

AI SystemsAgent DesignContext Engineering
0 likes · 31 min read
Why Harness Engineering Is the Next Evolution in AI System Design
DeepHub IMBA
DeepHub IMBA
Apr 3, 2026 · Artificial Intelligence

Multi‑Aspect Embedding: Integrating Context Signals into Vector Similarity Search

The article analyzes how traditional vector database pipelines use external filters for context constraints and proposes the Aspect Database’s multi‑aspect embedding approach, which encodes contextual attributes directly into similarity vectors to enable unified, context‑aware retrieval for AI systems.

AI SystemsANN searchEmbedding
0 likes · 9 min read
Multi‑Aspect Embedding: Integrating Context Signals into Vector Similarity Search
Woodpecker Software Testing
Woodpecker Software Testing
Mar 15, 2026 · Artificial Intelligence

How to Test AI That Sees, Listens, and Beyond: In‑Depth Multimodal Testing Cases

The article examines three real‑world multimodal AI testing scenarios—medical report generation, automotive V2X interaction, and e‑commerce AIGC content—detailing specialized assertion techniques, temporal‑sensitive chaos testing, and modality‑contract validation that dramatically reduce false positives, uncover hidden deadlocks, and boost content compliance.

AI SystemsModality Contract TestingTSMCT
0 likes · 7 min read
How to Test AI That Sees, Listens, and Beyond: In‑Depth Multimodal Testing Cases
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Jun 4, 2025 · Artificial Intelligence

What Is an AI Engineer? Roles, Skills, and the Future of LLM‑Powered Systems

This article examines the evolving role of the AI engineer, contrasting it with AI researchers, ML engineers, and software engineers, outlines essential skills such as prompt engineering, MLOps, and data integration, and predicts how AI engineering will become a pivotal, high‑demand discipline in the coming years.

AI EngineeringAI SystemsAgentic RAG
0 likes · 17 min read
What Is an AI Engineer? Roles, Skills, and the Future of LLM‑Powered Systems
Architect
Architect
Jul 2, 2024 · Artificial Intelligence

Mooncake: A Separated Architecture for Large‑Language‑Model Inference

The article presents Mooncake, a split‑architecture inference platform for the Kimi LLM assistant, detailing its three elastic resource pools, the rationale for using Time‑Between‑Tokens over TPOT, and design choices for Prefill, KVCache, and Decode stages to improve latency and throughput.

AI SystemsDecodeKVCache
0 likes · 9 min read
Mooncake: A Separated Architecture for Large‑Language‑Model Inference
DataFunTalk
DataFunTalk
Nov 14, 2019 · Artificial Intelligence

Building the Most Reliable Autonomous Driving Infrastructure at Pony.ai

This article outlines Pony.ai's comprehensive autonomous driving infrastructure, describing traditional internet back‑end components, additional vehicle‑mounted systems, large‑scale simulation, data challenges, and the reliability, performance, and flexibility practices needed to support rapid growth and safe robotaxi operations.

AI SystemsAutonomous DrivingInfrastructure
0 likes · 15 min read
Building the Most Reliable Autonomous Driving Infrastructure at Pony.ai