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AI agents

2183 articles · Page 11 of 22
Old Zhang's AI Learning
Old Zhang's AI Learning
May 21, 2026 · Artificial Intelligence

Matt Pocock Open‑Sources His Complete .claude Skills Repository

The article reviews Matt Pocock’s newly released mattpocock/skills GitHub repository, explaining its purpose, installation steps, folder structure, core engineering skills, four common failure modes, and how its concise, composable prompts differ from Anthropic’s official skills, while offering practical recommendations for Claude Code and Codex users.

AI agentsClaudeDevOps
0 likes · 12 min read
Matt Pocock Open‑Sources His Complete .claude Skills Repository
DataFunSummit
DataFunSummit
May 21, 2026 · Artificial Intelligence

Designing Next‑Gen Recommendation and Search with Intelligent Agent Architecture

The article reviews a collection of technical chapters that analyze how multi‑agent AI architectures, large‑language‑model‑enhanced recommendation pipelines, generative ranking for ads, and Elasticsearch‑based vector RAG are applied to build next‑generation recommendation and search systems, citing concrete designs, performance numbers and real‑world deployments.

AI agentsElasticsearchGenerative Ranking
0 likes · 6 min read
Designing Next‑Gen Recommendation and Search with Intelligent Agent Architecture
Su San Talks Tech
Su San Talks Tech
May 21, 2026 · Artificial Intelligence

Unlocking Codex’s Full Potential: From Coding Agent to Computer Work System

The article analyzes how Codex is evolving from a code‑writing assistant into a broader computer work system by leveraging durable threads, tool integration, voice‑based control, automations, and verifiable goals, shifting the focus from isolated code tasks to end‑to‑end workflow completion.

AI agentsCodexautomation
0 likes · 11 min read
Unlocking Codex’s Full Potential: From Coding Agent to Computer Work System
ShiZhen AI
ShiZhen AI
May 21, 2026 · Artificial Intelligence

Unlocking Codex: Turning a Coding Agent into a Full‑Scale Computer Work System

The article argues that Codex is evolving from a code‑writing assistant into a broader computer work system by adding durable threads, voice‑steering‑queuing controls, extensive tool integration, and verifiable goals, thereby shifting the key question from "can it write a function?" to "can it complete real‑world workflows?"

AI agentsCodexValidation
0 likes · 11 min read
Unlocking Codex: Turning a Coding Agent into a Full‑Scale Computer Work System
SuanNi
SuanNi
May 21, 2026 · Artificial Intelligence

Google I/O 2026 Unveils Gemini Agent Era: New AI Models, TPUs & Multimodal Tools

Google’s I/O 2026 keynote announced a full‑scale shift to the Gemini agent era, detailing new 8th‑gen TPUs, the Gemini 3.5 Flash model with higher Elo scores and lower cost, multimodal Omni Flash, expanded Agent tools like Antigravity and Spark, revamped search, commerce protocols, creative suites, and AI‑driven scientific applications.

AI agentsGeminiGoogle AI
0 likes · 13 min read
Google I/O 2026 Unveils Gemini Agent Era: New AI Models, TPUs & Multimodal Tools
Shuge Unlimited
Shuge Unlimited
May 21, 2026 · Artificial Intelligence

Building Smarter, More Reliable, and Faster Claude Code Workflows with 19 OMC Agents

This article dissects the oh‑my‑claudecode (OMC) system, explaining Claude Code's four‑layer agentic workflow, OMC's Hooks‑Skills‑Agents‑State architecture, model‑routing strategies, installation steps, and three real‑world scenarios that demonstrate how 19 specialized agents can automate refactoring, bulk fixes, and multi‑module bug resolution.

AI agentsClaude CodeHooks
0 likes · 24 min read
Building Smarter, More Reliable, and Faster Claude Code Workflows with 19 OMC Agents
Sohu Tech Products
Sohu Tech Products
May 20, 2026 · Artificial Intelligence

How Claude Code and BrowserAct Let AI Control Browsers with a Single Prompt

BrowserAct equips AI agents like Claude Code and Cursor with a reusable skill layer that can open pages, click buttons, fill forms, reuse login sessions, bypass anti‑automation checks, and return structured data, demonstrated through Amazon scraping, GitHub issue reading, smoke testing, and reusable Skill Forge workflows.

AI agentsBrowserActClaude Code
0 likes · 17 min read
How Claude Code and BrowserAct Let AI Control Browsers with a Single Prompt
SuanNi
SuanNi
May 20, 2026 · Artificial Intelligence

Why Harness Is the Future of AI Agents: Insights from CMU, Yale, and Amazon

The article argues that an AI agent’s performance now hinges on its surrounding Harness rather than the model itself, presenting the ETCLOVG seven‑layer architecture, benchmark gains up to ten‑fold, and a roadmap of evolving engineering stages from prompt‑to‑context‑to‑harness design.

AI agentsContext ManagementETCLOVG
0 likes · 13 min read
Why Harness Is the Future of AI Agents: Insights from CMU, Yale, and Amazon
ZhiKe AI
ZhiKe AI
May 20, 2026 · Artificial Intelligence

Google I/O 2026: Why the Model Arms Race Ends and the Agent Era Begins

The 2026 I/O keynote shows Google abandoning the race for the strongest model, unveiling the mid‑tier Gemini 3.5 Flash that outperforms its flagship on benchmarks, cuts inference cost dramatically, and launches a suite of agents—including Gemini Spark and Antigravity 2.0—to build an ecosystem that reshapes AI competition.

AI agentsAntigravity 2.0Gemini 3.5 Flash
0 likes · 12 min read
Google I/O 2026: Why the Model Arms Race Ends and the Agent Era Begins
Tencent Tech
Tencent Tech
May 20, 2026 · Artificial Intelligence

The Three Evolutions of AI Engineering: Prompt, Context, and Harness

This article analyzes the progressive stages of AI‑driven software engineering—Prompt Engineering, Context Engineering, and Harness Engineering—illustrating how each addresses specific challenges, presenting real‑world experiments from OpenAI and Anthropic, and outlining a roadmap for engineers to master the new paradigm.

AI agentsContext EngineeringHarness Engineering
0 likes · 19 min read
The Three Evolutions of AI Engineering: Prompt, Context, and Harness
Machine Heart
Machine Heart
May 20, 2026 · Artificial Intelligence

Is Gemini 3.5 Flash Really That Powerful? Google Turns Its Search Box into an AI Agent

Google’s I/O revealed a shift to 24‑hour AI agents, token usage soaring to over 3.2 quadrillion per month, and introduced Gemini 3.5 Flash—a lightweight model that outperforms its predecessor on multiple programming and multimodal benchmarks, powers a new Search‑box agent, and underpins the Spark workspace assistant and Gemini Omni video generation.

AI agentsAntigravityGemini 3.5
0 likes · 9 min read
Is Gemini 3.5 Flash Really That Powerful? Google Turns Its Search Box into an AI Agent
Amazon Cloud Developers
Amazon Cloud Developers
May 20, 2026 · Artificial Intelligence

AgentCore Memory’s Philosophy: Teaching Agents to Forget and Remember What Matters

This article explains Amazon Bedrock AgentCore Memory’s two‑layer design that separates raw interactions from extracted insights, details built‑in, override and self‑managed strategies, shows Python configuration and three demo scenarios that illustrate cross‑session continuity, semantic deduplication, and episodic reflection, and discusses namespace organization, retrieval settings, and failure handling.

AI agentsAgentCoreAmazon Bedrock
0 likes · 12 min read
AgentCore Memory’s Philosophy: Teaching Agents to Forget and Remember What Matters
Huolala Tech
Huolala Tech
May 20, 2026 · Artificial Intelligence

How Multimodal Agents Double Private‑Domain Conversion Rates

The article details how a three‑layer multimodal AI agent framework—covering AI quality inspection, multimodal content generation, and QA interaction—transforms private‑domain marketing by automating content creation, boosting conversion efficiency, and achieving measurable cost and performance gains.

AI agentsautomationcase study
0 likes · 17 min read
How Multimodal Agents Double Private‑Domain Conversion Rates
ShiZhen AI
ShiZhen AI
May 20, 2026 · Artificial Intelligence

Google I/O 2026 Recap: Gemini 3.5 Flash, Omni Video, Spark Agent, Search Upgrade

Google I/O 2026 unveiled Gemini 3.5 Flash—a faster, cheaper flagship model now fully open—alongside the multimodal Gemini Omni video generator, the 24/7 personal AI agent Gemini Spark, the biggest search overhaul in 25 years, upgraded Antigravity 2.0, new TPU 8 chips and refreshed AI subscription plans.

AI agentsGeminiGoogle I/O
0 likes · 15 min read
Google I/O 2026 Recap: Gemini 3.5 Flash, Omni Video, Spark Agent, Search Upgrade
FunTester
FunTester
May 20, 2026 · Artificial Intelligence

How Anthropic’s Multi‑Agent Orchestration Enables Parallel Workflows

The article explains why a single AI agent hits context and execution limits, describes Anthropic’s multi‑agent orchestration that splits tasks among dedicated sub‑agents coordinated by a controller, discusses model selection, communication, observability, and outlines scenarios where parallel orchestration delivers real benefits.

AI agentsMultiAgentParallelism
0 likes · 11 min read
How Anthropic’s Multi‑Agent Orchestration Enables Parallel Workflows
AI Engineering
AI Engineering
May 19, 2026 · Artificial Intelligence

Google's Gemini Spark Enables 24‑Hour AI Tasks Without a Running PC

Google's Gemini Spark, announced at I/O 2026, is a cloud‑based personal AI assistant that runs on Gemini 3.5 and the Antigravity framework, allowing users to schedule long‑running tasks without keeping a computer or browser open, and integrates with Google tools via the MCP protocol.

AI agentsAntigravity frameworkCloud AI
0 likes · 3 min read
Google's Gemini Spark Enables 24‑Hour AI Tasks Without a Running PC
Smart Workplace Lab
Smart Workplace Lab
May 19, 2026 · Industry Insights

AI Agents Boost Human Agency: Moving to High‑Value Work and System Redesign

Recent reports from Microsoft, BCG, PwC and Salesforce show AI agents are moving into execution roles, expanding human agency and prompting organizations to redesign systems, while data reveal higher‑value work, manager‑led adoption, large‑scale job reshaping, maturity bottlenecks, and both success stories and risks such as the “Silicon Ceiling.”

AI agentsRisk Managementhuman agency
0 likes · 7 min read
AI Agents Boost Human Agency: Moving to High‑Value Work and System Redesign
DataFunSummit
DataFunSummit
May 19, 2026 · Artificial Intelligence

Designing Next‑Gen Recommendation and Search with Agentic RAG Architecture

The article reviews cutting‑edge AI techniques for high‑concurrency, multimodal recommendation and search, detailing Alibaba Cloud's Agentic RAG evolution, Huawei Noah's LLM‑enhanced recommendation pipeline, and Baidu's generative ranking model GRAB, each with architecture diagrams, performance metrics, and real‑world deployment insights.

AI agentsAgentic RAGGenerative Ranking
0 likes · 6 min read
Designing Next‑Gen Recommendation and Search with Agentic RAG Architecture
PaperAgent
PaperAgent
May 19, 2026 · Artificial Intelligence

Why Long-Term Memory Needs Vision: How MemEye Evaluates Multimodal Agent Recall

MemEye is a multimodal memory benchmark that tests agents across eight real‑world scenarios, measuring visual evidence granularity and reasoning depth, and reveals that captions fall short for fine‑grained visual recall, highlighting the need for true visual memory in long‑term AI agents.

AI agentsMemEyebenchmark
0 likes · 4 min read
Why Long-Term Memory Needs Vision: How MemEye Evaluates Multimodal Agent Recall
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
May 19, 2026 · Artificial Intelligence

How Cloud Agent Harness Grows Skills from Real Tasks: A Three‑Stage Self‑Evolution Mechanism

The article analyzes Huawei Cloud Agent Harness's three‑stage skill self‑evolution framework, detailing how agents automatically extract, evolve, and validate reusable skills from execution traces to overcome manual authoring bottlenecks and ensure continuous improvement.

AI agentsEvaluation PipelineLLM‑driven optimization
0 likes · 14 min read
How Cloud Agent Harness Grows Skills from Real Tasks: A Three‑Stage Self‑Evolution Mechanism
Old Zhang's AI Learning
Old Zhang's AI Learning
May 19, 2026 · Artificial Intelligence

ByteDance’s Agent Plan Enhances Hermes Agent and Claude Code with Models, Seedance Skills, and Web Search

The article examines Volcano Engine’s new Agent Plan, detailing how its bundled flagship models, Seedance image and video generation skills, web‑search and memory capabilities streamline tasks such as browser‑plugin replication, data‑analysis report creation, full‑stack web dashboards, PDF translation, PPT generation, and Three.js visualizations within Claude Code and Hermes Agent, while comparing it to the earlier Coding Plan model.

AI agentsAgent PlanByteDance
0 likes · 8 min read
ByteDance’s Agent Plan Enhances Hermes Agent and Claude Code with Models, Seedance Skills, and Web Search
High Availability Architecture
High Availability Architecture
May 19, 2026 · Artificial Intelligence

5 Essential Tools to Install Before Building an AI Agent

The article outlines five critical setup steps—privacy with direnv and a secret manager, token handling via litellm or portkey, context management using uv and git commits, visibility through mitmproxy, and rigorous evaluation with inspect‑ai—showing how they cut token waste by 68.3%, reduce costs 92.5% and raise evaluation pass rates to 94.2% across 347 runs.

AI agentsDevOpscost optimization
0 likes · 9 min read
5 Essential Tools to Install Before Building an AI Agent
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
May 19, 2026 · Artificial Intelligence

Exploring the Two-Factory Model for Agent Internet Value Operations

The article proposes a two‑factory architecture—Token Factory and Agent Factory—to enable telecom operators to transition from traditional resource pipelines to value‑centric operations in the emerging Internet of Agents, introducing SCU and VPT metrics, a four‑quadrant E‑R‑G‑D model, and staged deployment pathways.

AI agentsSCUTelecom operators
0 likes · 31 min read
Exploring the Two-Factory Model for Agent Internet Value Operations
Smart Sea Tide
Smart Sea Tide
May 19, 2026 · Artificial Intelligence

From Beginner to Production: 6 Open‑Source AI Agent Projects to Accelerate Your Development

This article introduces six GitHub open‑source AI Agent projects—500‑AI‑Agents‑Projects, Hello‑Agents, AI Agents for Beginners, Hugging Face Agents Course, GenAI_Agents, and ed‑donner agents—detailing their focus areas, provided code, frameworks covered, and how they help developers progress from basic concepts to production‑grade intelligent agents.

AI agentsFrameworksGitHub
0 likes · 8 min read
From Beginner to Production: 6 Open‑Source AI Agent Projects to Accelerate Your Development
ZhiKe AI
ZhiKe AI
May 19, 2026 · R&D Management

Why One‑Shot AI Prompts Fail and How 19 Iron Rules Build a Factory‑Style Workflow

The article explains that single‑turn AI chats cannot handle complex tasks, and introduces Harness—a six‑agent AI workflow that organizes AI roles, enforces 19 strict rules, and uses a five‑step setup to turn ad‑hoc prompts into a disciplined, self‑evolving production line for content and software development.

AI agentsAI workflowProcess Automation
0 likes · 14 min read
Why One‑Shot AI Prompts Fail and How 19 Iron Rules Build a Factory‑Style Workflow
Linyb Geek Road
Linyb Geek Road
May 19, 2026 · Artificial Intelligence

Five Best Design Patterns for AI Agent Skills

This article explains five practical design patterns—tool wrapper, generator, reviewer, inversion, and pipeline—for structuring AI agent SKILL.md files, showing when to use each, how they work internally, and how they can be combined for robust, maintainable agent behavior.

AI agentsDesign PatternsLLM
0 likes · 19 min read
Five Best Design Patterns for AI Agent Skills
AI Architecture Hub
AI Architecture Hub
May 19, 2026 · Artificial Intelligence

Agent Memory: From Theory to Practical Implementation

The article explains how AI agents can acquire long‑term memory by combining three functions—coherence, context, and learning—with four memory types, describes the full retrieval‑store loop, and provides a step‑by‑step Python implementation using OpenAI embeddings, ChromaDB, and forgetting strategies.

AI agentsChromaDBMemory Systems
0 likes · 17 min read
Agent Memory: From Theory to Practical Implementation
Shi's AI Notebook
Shi's AI Notebook
May 18, 2026 · Artificial Intelligence

Anthropic’s Practical Approach to Context Engineering for AI Agents

The article explains how Anthropic engineers treat the limited token budget of large language models as a finite resource, detailing static configuration, runtime retrieval, and long‑task strategies such as compaction, structured notes, and sub‑agent architectures to build reliable, efficient AI agents.

AI agentsAnthropicContext Engineering
0 likes · 18 min read
Anthropic’s Practical Approach to Context Engineering for AI Agents
Su San Talks Tech
Su San Talks Tech
May 18, 2026 · Frontend Development

A Game-Changing AI‑Powered PPT Skill You Must Try

The article reviews html-ppt-skill, an AI‑driven tool that generates fully styled HTML presentations instead of PPTX files, detailing its theme, layout, and animation assets, presenter‑mode implementation, cross‑platform skill integration, practical advantages, limitations, and how it exemplifies the emerging AI skill ecosystem.

AI agentsSkill Ecosystemdesign system
0 likes · 13 min read
A Game-Changing AI‑Powered PPT Skill You Must Try
Machine Heart
Machine Heart
May 18, 2026 · Artificial Intelligence

JiuwenSwarm Launches Coordination Engineering for the ‘Beekeeping’ Era of AI Agents

openJiuwen’s open‑source JiuwenSwarm implements Coordination Engineering—a full‑stack system comprising Agent Swarm, Swarm Skills, a Skills Hub and self‑evolution—enabling autonomous multi‑agent collaboration, demonstrated by medical, coding, video and game case studies and achieving a 94.2% PinchBench score with 34.8% token savings.

AI agentsJiuwenSwarmMulti-Agent Collaboration
0 likes · 13 min read
JiuwenSwarm Launches Coordination Engineering for the ‘Beekeeping’ Era of AI Agents
ZhongAn Tech Team
ZhongAn Tech Team
May 18, 2026 · Industry Insights

Weekly Tech Digest (May 11‑17): Ilya Sutskever’s Court Testimony, Anthropic’s 4‑Day AI Sprint, and AI Agent Market Shifts

This week’s tech roundup covers Ilya Sutskever’s explosive courtroom testimony exposing OpenAI’s internal power struggle, Anthropic’s claim that AI can finish ten weeks of work in four days, the launch of OpenAI Codex on the ChatGPT mobile app, a deep dive into how AI agents are reshaping software business models, Baidu’s DuMate super‑assistant, the MiniCPM‑V 1.3B multimodal model that runs on a single RTX 4090, and MiniMax’s new Mavis multi‑agent framework for reliable long‑running tasks.

AI agentsAnthropicDuMate
0 likes · 29 min read
Weekly Tech Digest (May 11‑17): Ilya Sutskever’s Court Testimony, Anthropic’s 4‑Day AI Sprint, and AI Agent Market Shifts
High Availability Architecture
High Availability Architecture
May 18, 2026 · Backend Development

Porting Karpathy’s AutoResearch to Software Development: Explosive Results

The project adapts Karpathy’s AutoResearch method to software development by using multi‑agent cross‑review, a five‑dimensional weighted scoring system, and feedback‑driven iteration, enabling fully automated issue handling, testing, and PR creation in about ten minutes with a 9.0/10 code‑quality score.

AI agentsAutoResearchCode Generation
0 likes · 17 min read
Porting Karpathy’s AutoResearch to Software Development: Explosive Results
AI Code to Success
AI Code to Success
May 18, 2026 · Artificial Intelligence

Redefining Skill Development: A Complete Tutorial and One‑Stop Dev Assistant

This guide explains the concept of AI Agent Skills, walks through creating, installing, and managing a Skill—including file structure, YAML metadata, progressive loading, platform-specific considerations—and introduces a one‑stop development assistant that streamlines Skill development and deployment.

AI agentsDevOpsSkill Development
0 likes · 27 min read
Redefining Skill Development: A Complete Tutorial and One‑Stop Dev Assistant
AI Architecture Hub
AI Architecture Hub
May 18, 2026 · Artificial Intelligence

Agent Hooks: A Deterministic Approach to Making AI Agent Workflows Controllable

The article explains how agent hooks add programmable, deterministic control to AI agent workflows by binding custom handlers to specific lifecycle events, demonstrates six core hooks with concrete Python examples, and shows how this separation of policy from model memory reduces errors, speeds feedback, and improves auditability.

AI agentsHooksPython
0 likes · 18 min read
Agent Hooks: A Deterministic Approach to Making AI Agent Workflows Controllable
inShocking
inShocking
May 17, 2026 · Artificial Intelligence

5 Must‑Watch Tech Projects This Week: Agent Engineering, Rust CLI Tools, and the Dawn of an Agent Economy

This roundup highlights five noteworthy projects—Claude Code engineering skills, a Rust‑based terminal programming Agent, a persistent memory layer for AI coding Agents, the GPU‑accelerated Zed 1.0 editor, and pay.sh’s native Agent payment gateway—each illustrating a different layer of Agent engineering and its emerging ecosystem.

AI agentsCLIPayment Infrastructure
0 likes · 10 min read
5 Must‑Watch Tech Projects This Week: Agent Engineering, Rust CLI Tools, and the Dawn of an Agent Economy
DeepHub IMBA
DeepHub IMBA
May 17, 2026 · Artificial Intelligence

Agent = Model + Harness: How the Model Sets the Ceiling and the Harness Sets the Floor

The article explains that AI coding agents consist of a stateless model plus a Harness that provides context, tools, orchestration, hooks, permissions, memory, and session management, and argues that the Harness determines the lower bound of performance while the model defines the upper bound.

AI agentsContext LoadingExecution hooks
0 likes · 10 min read
Agent = Model + Harness: How the Model Sets the Ceiling and the Harness Sets the Floor
ZhiKe AI
ZhiKe AI
May 17, 2026 · Artificial Intelligence

The Harsh Truth About AI Agents: 80% Show ROI, Yet 88% Never Reach Production

While 80% of enterprises report measurable ROI from AI Agents, 88% of projects never leave the lab; the article examines real‑world case studies, reliability gaps, cost overruns, and emerging tooling that together define the current promise and pitfalls of production‑grade AI Agents.

AI agentsClaude CodeCost Overrun
0 likes · 10 min read
The Harsh Truth About AI Agents: 80% Show ROI, Yet 88% Never Reach Production
Machine Heart
Machine Heart
May 17, 2026 · Artificial Intelligence

The Hidden Token Bill of AI Coding Agents: Why More Tokens Don’t Guarantee Better Results

An analysis of eight frontier coding agents shows that token consumption in agentic coding tasks is highly variable, often orders of magnitude higher than simple code reasoning, and that spending more tokens does not reliably improve accuracy, with significant differences across models and limited predictability of costs.

AI agentsCoding AgentsToken Consumption
0 likes · 11 min read
The Hidden Token Bill of AI Coding Agents: Why More Tokens Don’t Guarantee Better Results
Architect
Architect
May 16, 2026 · Artificial Intelligence

Turning Massive Codebases into Agent‑Ready Workspaces with Claude Code

The article analyzes how Claude Code can operate reliably in monorepos and large codebases by reorganizing the repository into an agent‑friendly environment, detailing the seven‑step agentic loop, the role of CLAUDE.md, LSP navigation, Subagents, and a three‑layer architecture that balances context, execution, and governance.

AI agentsAgentic SearchCLAUDE.md
0 likes · 30 min read
Turning Massive Codebases into Agent‑Ready Workspaces with Claude Code
Senior Tony
Senior Tony
May 16, 2026 · Artificial Intelligence

Why Claiming LLM MCP Is Dead and Skills Are Supreme Reveals Beginner Thinking

The article argues that declaring LLM MCP obsolete while praising Skills as the ultimate capability reflects a beginner’s misunderstanding, explaining that MCP is a low‑level tool‑connection protocol akin to USB/HTTP, whereas Skills are high‑level business‑logic wrappers, and the real engineering challenges lie elsewhere.

AI agentsLLMMCP
0 likes · 5 min read
Why Claiming LLM MCP Is Dead and Skills Are Supreme Reveals Beginner Thinking
PaperAgent
PaperAgent
May 16, 2026 · Artificial Intelligence

A First Systematic Survey of Agent Skills: Taxonomy, Techniques, and Applications

This survey analyzes the emerging field of Agent Skills, defining a formal skill model, categorizing acquisition pathways, detailing retrieval strategies, and outlining a five‑stage evolution process, while highlighting large‑scale skill repositories and their implications for AI product design.

AI agentsAgent SkillsSkill Retrieval
0 likes · 9 min read
A First Systematic Survey of Agent Skills: Taxonomy, Techniques, and Applications
AI Architecture Hub
AI Architecture Hub
May 16, 2026 · Artificial Intelligence

9 Claude Agents That Work While You Sleep

The article presents nine night‑time Claude agents that automate tasks normally done by a chief of staff, analyst, inbox manager, engineer, finance analyst, admin, competitor analyst, content creator, and researcher, showing how to install, configure, and integrate them into a morning workflow for founders, freelancers, and managers.

AI agentsClaudeagent configuration
0 likes · 24 min read
9 Claude Agents That Work While You Sleep
SuanNi
SuanNi
May 15, 2026 · Artificial Intelligence

Codex Gains Mobile Remote Control as Competition with Claude Code Heats Up

OpenAI's Codex now supports full‑screen mobile remote control via the ChatGPT app, letting developers monitor and approve tasks, switch models, and manage enterprise‑grade SSH environments from any device while maintaining a secure encrypted relay layer, sparking fierce rivalry with Claude Code.

AI agentsClaude CodeCodex
0 likes · 6 min read
Codex Gains Mobile Remote Control as Competition with Claude Code Heats Up
Architect
Architect
May 15, 2026 · Artificial Intelligence

Why Codex, Claude Code, and Hermes All Adopt /goal: Turning Prompt Goals into Runtime Agent Interfaces

From late April to mid‑May, OpenAI Codex, Claude Code, and Hermes each introduced an explicit /goal capability that transforms a one‑sentence prompt into a managed runtime object, enabling long‑running agents to maintain state, validation, budget, and pause/resume control within the Agent Harness.

AI agentsClaude CodeHermes
0 likes · 21 min read
Why Codex, Claude Code, and Hermes All Adopt /goal: Turning Prompt Goals into Runtime Agent Interfaces
Machine Heart
Machine Heart
May 15, 2026 · Artificial Intelligence

From AI Agents to Cyber Employees: Unveiling the Emergence of Productivity Intelligence

The article analyzes how AI agents are evolving from simple tool‑calling assistants into "cyber employees" that can navigate complex, real‑world workspaces, highlighting the Workspace‑Bench benchmark, its detailed evaluation methodology, and the scaling challenges that define true productivity intelligence.

AI agentsagent harnesscyber employee
0 likes · 15 min read
From AI Agents to Cyber Employees: Unveiling the Emergence of Productivity Intelligence
Old Zhang's AI Learning
Old Zhang's AI Learning
May 15, 2026 · Artificial Intelligence

Claude Unleashes 15 Plug‑and‑Play Agent Workflows: A Digital Employee for Small Businesses

Anthropic’s new Claude for Small Business embeds AI into concrete workflows, offering 15 ready‑to‑use agents that connect to QuickBooks, PayPal, HubSpot and Slack via the Claude Cowork desktop app, with detailed payroll, month‑close, Monday brief and marketing scenarios, transparent pricing, and built‑in security safeguards.

AI agentsAnthropicClaude
0 likes · 9 min read
Claude Unleashes 15 Plug‑and‑Play Agent Workflows: A Digital Employee for Small Businesses
AI Step-by-Step
AI Step-by-Step
May 15, 2026 · Artificial Intelligence

AI‑First Architecture Constraints: Tool Limits, Refactor Triggers, and Context

The article examines six practical challenges of AI‑First development—oversized tool libraries, when to trigger refactoring, propagating newly extracted methods, duplicate code from parallel sub‑agents, context aging, and the lack of a unified framework—while presenting concrete solutions such as three‑layer loading, sub‑agent isolation, semantic search, consolidation agents, persistent context files, and adaptive compression strategies.

AI agentsContext ManagementTool Registry
0 likes · 24 min read
AI‑First Architecture Constraints: Tool Limits, Refactor Triggers, and Context
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 14, 2026 · Artificial Intelligence

How a Multi‑Agent Team Built an HTML Page in One Take (No More “Continue” Prompts)

The author used MiniMax’s new Mavis Agent Team to generate a complete, interactive HTML showcase in 28 minutes with a single prompt, illustrating how Leader‑Worker‑Verifier coordination and a Team Engine overcome the laziness, context anxiety, and silent‑agent problems of single‑agent workflows while discussing token costs and referencing the “Cost of Consensus” study.

AI agentsAgent TeamTeam Engine
0 likes · 14 min read
How a Multi‑Agent Team Built an HTML Page in One Take (No More “Continue” Prompts)
BirdNest Tech Talk
BirdNest Tech Talk
May 14, 2026 · Artificial Intelligence

Codex, Claude Code, Hermes Launch /goal Together – Coincidence or Autonomy Tipping Point?

In late April and early May 2026 three leading AI coding assistants—OpenAI's Codex CLI, Anthropic's Claude Code, and Nous Research's Hermes Agent—released a /goal command that shifts agents from simple Q&A tools to autonomous goal‑driven systems, prompting a detailed technical comparison and a re‑examination of the developer's role.

AI agentsautonomous loopsbudget control
0 likes · 15 min read
Codex, Claude Code, Hermes Launch /goal Together – Coincidence or Autonomy Tipping Point?
Old Zhang's AI Learning
Old Zhang's AI Learning
May 14, 2026 · R&D Management

From Topic to Submission: Claude Code’s ARS Pipeline for Academic Papers

The open‑source Academic Research Skills (ARS) suite builds on Claude Code to automate the entire research‑to‑publication workflow, offering human‑in‑the‑loop quality gates, style calibration, citation checks, and a low token cost of $4‑6 per 15k‑word paper, making it especially useful for graduate students and Chinese researchers aiming to publish in English.

AI agentsClaude Codeacademic research
0 likes · 8 min read
From Topic to Submission: Claude Code’s ARS Pipeline for Academic Papers
High Availability Architecture
High Availability Architecture
May 14, 2026 · Artificial Intelligence

Build a 4‑Agent Claude‑Powered AI Team in One Weekend

This step‑by‑step guide shows how to create a specialized four‑agent system—research, production, quality, and distribution—coordinated by an orchestrator, using Claude and Claude Code, with detailed folder structures, prompt templates, CLI commands, and workflow automation to achieve high‑quality content output in a weekend.

AI agentsClaudeContent Workflow
0 likes · 24 min read
Build a 4‑Agent Claude‑Powered AI Team in One Weekend
java1234
java1234
May 14, 2026 · Artificial Intelligence

Cursor 3 Launches: How a Unified Workspace Enables Multi‑Agent Development

Cursor 3 redefines the developer workflow by consolidating model output, session progress, repository boundaries, and local‑cloud environments into a single unified workspace, allowing multiple AI agents to work in parallel across many repositories and environments while preserving context and simplifying code review.

AI agentsCursor 3Multi-repo
0 likes · 9 min read
Cursor 3 Launches: How a Unified Workspace Enables Multi‑Agent Development
Old Zhang's AI Learning
Old Zhang's AI Learning
May 13, 2026 · Frontend Development

32 Open-Source HTML Slide Templates to Stop AI from Generating Ugly PPTs

The article introduces a GitHub repository offering 32 ready‑to‑use HTML/CSS slide templates designed for AI agents, explains a six‑step workflow for selecting and customizing templates, evaluates the strengths and limitations of the approach, and argues that HTML is re‑emerging as a universal presentation format.

AI agentsHTMLfrontend
0 likes · 9 min read
32 Open-Source HTML Slide Templates to Stop AI from Generating Ugly PPTs
Java Captain
Java Captain
May 13, 2026 · Industry Insights

Is VS Code Obsolete? Cursor 3 Redefines the IDE with an AI Agent Console

Cursor 3 replaces the traditional IDE with an AI‑agent management console, introduces Cloud Handoff, and signals a market shift as AI‑driven development tools like Anthropic’s Claude Code and OpenAI’s Codex compete, reshaping developer workflows, pricing models, and the future role of IDEs.

AI agentsAI code editorCursor 3
0 likes · 13 min read
Is VS Code Obsolete? Cursor 3 Redefines the IDE with an AI Agent Console
Architect's Ambition
Architect's Ambition
May 13, 2026 · Artificial Intelligence

Deep Dive into Spring AI Alibaba: Architecture, Core Features, and Practical Implementation Guide

This article provides a comprehensive analysis of Spring AI Alibaba, detailing its five‑layer architecture, core capabilities such as unified model access, cloud‑native integration, and Agentic AI features, and offers concrete code examples and production recommendations to help Java developers quickly build and deploy AI agents.

AI agentsAgent FrameworkCloud Native
0 likes · 12 min read
Deep Dive into Spring AI Alibaba: Architecture, Core Features, and Practical Implementation Guide
AI Step-by-Step
AI Step-by-Step
May 13, 2026 · R&D Management

Agentic Development Cycle: Real‑Time Validation with AI Agents

The AC/DC framework reimagines software development by moving verification from post‑commit CI pipelines to the moment code is generated, letting AI agents write, check, and fix code in a self‑correcting loop, while redefining human engineer responsibilities.

AI agentsautomationcontinuous integration
0 likes · 14 min read
Agentic Development Cycle: Real‑Time Validation with AI Agents
AI Engineer Programming
AI Engineer Programming
May 13, 2026 · Artificial Intelligence

AI Agent Architecture Patterns: How to Choose the Right Solution for Your Workload

The article analyzes how AI agent architecture choices—single‑agent versus multi‑agent, ReAct, plan‑and‑execute, orchestrator‑worker, hierarchical teams, reflection, and HITL—affect cost, reliability, and scalability, providing quantitative trade‑offs and industry examples to guide workload‑specific selection.

AI agentsLangGraphMulti-agent
0 likes · 16 min read
AI Agent Architecture Patterns: How to Choose the Right Solution for Your Workload
ZhiKe AI
ZhiKe AI
May 13, 2026 · Artificial Intelligence

How Effective Harnesses Keep Long‑Running AI Agents Productive

The article analyzes why AI agents lose progress across discrete context windows, identifies two failure patterns, and presents a dual‑harness solution—an initialization agent and a coding agent—that uses init scripts, progress files, and Git to enable incremental, test‑driven development over hours or days.

AI agentsClaude Agent SDKContext Management
0 likes · 16 min read
How Effective Harnesses Keep Long‑Running AI Agents Productive
AI Architecture Hub
AI Architecture Hub
May 13, 2026 · Artificial Intelligence

Why Harness Engineering Is the Key to Unlocking AI Agents’ True Potential

The article argues that the performance gap of AI agents stems from the missing or poorly designed Harness layer, and explains how systematic engineering of prompts, tools, context strategies, hooks, sandboxing, and feedback loops can turn a raw model into a reliable, high‑performing autonomous agent.

AI agentsAgent ArchitectureContext Management
0 likes · 15 min read
Why Harness Engineering Is the Key to Unlocking AI Agents’ True Potential
ITPUB
ITPUB
May 12, 2026 · Industry Insights

Why Pinecone Is Dismantling Its Own RAG Paradigm

In May 2026 Pinecone announced the end of its Retrieval‑Augmented Generation (RAG) approach, unveiling the Nexus knowledge engine and KnowQL query language to address the structural inefficiencies of RAG for AI agents, and positioning this shift as a strategic industry‑wide pivot.

AI agentsKnowQLNexus
0 likes · 8 min read
Why Pinecone Is Dismantling Its Own RAG Paradigm
DataFunSummit
DataFunSummit
May 12, 2026 · Artificial Intelligence

15 Critical Questions on Why Enterprise AI Agents Need Business Ontology

The article analyzes why large language models and RAG alone cannot meet enterprise AI needs, argues that a business ontology provides essential semantic grounding for agents, outlines ontology construction methods, demonstrates hybrid search improvements, and shares real‑world case studies showing dramatic efficiency gains.

AI agentsKnowledge GraphOntology
0 likes · 16 min read
15 Critical Questions on Why Enterprise AI Agents Need Business Ontology
DataFunTalk
DataFunTalk
May 12, 2026 · Artificial Intelligence

Deep Dive into Agent Harness: Unpacking the Architecture Behind AI Agents

The article dissects the concept of an Agent Harness—a comprehensive software infrastructure that wraps large language models to enable autonomous agents—detailing its three engineering layers, twelve production‑grade components, benchmark improvements, implementation patterns across Anthropic, OpenAI, LangChain, and design trade‑offs such as orchestration loops, tool integration, memory, context management, error handling, and safety.

AI agentsLLMagent harness
0 likes · 19 min read
Deep Dive into Agent Harness: Unpacking the Architecture Behind AI Agents
Linyb Geek Road
Linyb Geek Road
May 12, 2026 · Artificial Intelligence

A Comprehensive Guide to Designing Structured Prompts for AI Agents

This article explains why structured prompts are essential for AI agents, outlines their six core components, compares major frameworks such as R‑C‑S‑W‑O, Zeng Yingjie three‑stage and CRISPE, offers five optimization techniques, and provides detailed case studies on building personal prompt libraries and enterprise‑level IT policy assistants.

AI agentsCRISPECoze platform
0 likes · 35 min read
A Comprehensive Guide to Designing Structured Prompts for AI Agents
Linyb Geek Road
Linyb Geek Road
May 12, 2026 · Artificial Intelligence

10 Open‑Source Tools Cutting AI Agent Costs Ten‑Fold: Prompt Compression, Memory Management, Model Routing

The article explains how AI agents become expensive because they ingest massive, irrelevant context and shows ten open‑source projects—LLMLingua, mem0, LiteLLM, LlamaIndex + Chroma, Letta, Guidance, Aider, tiktoken + ttok—that compress prompts, manage memory, route models dynamically, add retrieval‑augmented generation, and enforce token budgeting, collectively reducing daily token usage by millions and slashing costs dramatically.

AI agentsRetrieval-Augmented Generationmemory management
0 likes · 17 min read
10 Open‑Source Tools Cutting AI Agent Costs Ten‑Fold: Prompt Compression, Memory Management, Model Routing
Architect
Architect
May 11, 2026 · Artificial Intelligence

How CLAUDE.md Cut Claude Code Errors from 41% to 3% – What Really Changed?

The author reports a personal experiment where adding a concise CLAUDE.md file to 30 repositories reduced Claude Code's error rate from 41% to 3%, explains why such a tiny contract influences agent behavior, expands the original four Karpathy rules into twelve practical guidelines, and offers concrete advice on writing, structuring, and maintaining effective CLAUDE.md files.

AI agentsAgentic EngineeringCLAUDE.md
0 likes · 23 min read
How CLAUDE.md Cut Claude Code Errors from 41% to 3% – What Really Changed?
21CTO
21CTO
May 11, 2026 · Artificial Intelligence

How jcode Runs 10‑20 AI Agents on an 8 GB Laptop with Rust

jcode, a Rust‑based AI agent framework, uses only 27.8 MB per agent and 14 ms startup time, enabling 10‑20 concurrent agents on an 8 GB laptop, outperforming Claude Code, GitHub Copilot CLI and other Python‑based solutions in memory, speed, and scalability.

AI agentsMemory OptimizationMulti-agent
0 likes · 11 min read
How jcode Runs 10‑20 AI Agents on an 8 GB Laptop with Rust
ZhiKe AI
ZhiKe AI
May 11, 2026 · Backend Development

Java Rewrites OpenClaw: An Architecture‑Level Translation, Not a Simple Port

A Java team rebuilt the popular Node.js AI‑Agent platform OpenClaw from scratch, replacing AI‑generated “vibe code” with a carefully refactored architecture that leverages Spring AI, JobRunr, and Spring Modulith, and demonstrates how to run the new Java version with just a few commands.

AI agentsArchitecture TranslationJava
0 likes · 16 min read
Java Rewrites OpenClaw: An Architecture‑Level Translation, Not a Simple Port
AndroidPub
AndroidPub
May 11, 2026 · Artificial Intelligence

Is Harness Engineering Just Hype? A Deep Dive into Agent Harnesses

The article traces the evolution of the "Harness" concept from traditional test harnesses to modern AI agent engineering, explains the Planner‑Generator‑Evaluator architecture, evaluates its trade‑offs, and argues that Harness Engineering is a transitional technique rather than mere hype.

AI agentsHarness EngineeringLong-Running Agents
0 likes · 16 min read
Is Harness Engineering Just Hype? A Deep Dive into Agent Harnesses
AI Architecture Hub
AI Architecture Hub
May 11, 2026 · Operations

Why HTML Beats Markdown for Claude Code Outputs

The article explains how using HTML instead of Markdown with Claude Code delivers richer information density, better readability, easy sharing, interactive capabilities, and deeper data ingestion despite higher token usage and longer generation time, making it a more effective format for AI‑driven documentation and workflows.

AI agentsClaude CodeHTML
0 likes · 14 min read
Why HTML Beats Markdown for Claude Code Outputs
SuanNi
SuanNi
May 10, 2026 · Artificial Intelligence

Hermes Agent Overtakes OpenClaw to Lead Global Token Consumption

Hermes Agent, an open‑source autonomous‑agent framework from Nous Research, has surpassed OpenClaw to become the top token consumer on OpenRouter, offering self‑evolving skills, persistent cross‑session memory, multi‑environment execution, and extensive IM integration while addressing security and deployment challenges.

AI agentsHermes AgentOpenClaw
0 likes · 7 min read
Hermes Agent Overtakes OpenClaw to Lead Global Token Consumption
phodal
phodal
May 10, 2026 · Artificial Intelligence

From /goal to Long‑Running Asynchronous Agents: Making AI Sustainably Deliver Complex Tasks

By experimenting with OpenAI’s /goal feature, the author shows how to turn ad‑hoc AI prompts into a structured, long‑running loop that records progress in Git, README and test artifacts, enabling agents to handle complex engineering tasks across multiple sessions with clear checkpoints and human‑in‑the‑loop control.

AI agentsGitRalph Loop
0 likes · 12 min read
From /goal to Long‑Running Asynchronous Agents: Making AI Sustainably Deliver Complex Tasks
Architect
Architect
May 10, 2026 · Artificial Intelligence

Long‑Running Agents: From Ralph Loop to Hand‑over‑Ready Harness

The article analyzes the challenges of long‑running AI agents, showing that persistence alone is insufficient and that reliable hand‑over requires explicit specifications, external state files, drift mitigation, sub‑agents, and a verifiable evidence chain to keep the work understandable for the next model or human.

AI agentsContext EngineeringHarness
0 likes · 25 min read
Long‑Running Agents: From Ralph Loop to Hand‑over‑Ready Harness
Thought Artisan
Thought Artisan
May 10, 2026 · R&D Management

Software Engineering Research in the Agent Era: Complexity, Knowledge, and Harness Engineering

The article explores how software engineering research is shifting from human-centered to agent-centered development (Harness Engineering), identifying key research questions around software complexity characterization, machine-readable knowledge representation, agent team collaboration, and adapting traditional SE theories, while advising against investing in generic agent frameworks already dominated by large companies.

AI agentsHarness Engineeringagent collaboration
0 likes · 5 min read
Software Engineering Research in the Agent Era: Complexity, Knowledge, and Harness Engineering
AI Engineer Programming
AI Engineer Programming
May 10, 2026 · Artificial Intelligence

Lossless Context Management (LCM): Handling Unlimited Agent Tasks with Finite Windows

The article analyzes the limitation of finite LLM context windows for unbounded agent tasks, reviews existing truncation, summarization, and RAG approaches, and presents the Lossless Context Management (LCM) architecture with immutable storage, hierarchical DAG compression, three‑level summarization, and zero‑overhead processing for both short and large‑scale workloads.

AI agentsAgentic-MapLLM
0 likes · 9 min read
Lossless Context Management (LCM): Handling Unlimited Agent Tasks with Finite Windows
java1234
java1234
May 10, 2026 · Artificial Intelligence

Bringing Python‑Level AI Agents to Java Production: A Deep Dive into AgentScope Java

AgentScope Java is an open‑source, agent‑oriented framework that brings ReAct, tool calling, memory, multi‑agent collaboration, runtime intervention, plug‑in integration, reactive architecture, GraalVM native images and OpenTelemetry observability to Java, enabling production‑grade AI agents with familiar Java tooling.

AI agentsAgentScope JavaGraalVM
0 likes · 9 min read
Bringing Python‑Level AI Agents to Java Production: A Deep Dive into AgentScope Java
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 9, 2026 · Artificial Intelligence

Why OpenClaw Is So Expensive and How QuantClaw Cuts Cost by 21% While Boosting Speed 15%

OpenClaw’s high token consumption drives steep costs, but the QuantClaw plug‑in dynamically routes tasks to 4‑bit, 8‑bit or 16‑bit model instances based on a systematic quantization study, achieving up to 21% cost reduction, 15% latency improvement, and even modest accuracy gains.

AI agentsDynamic Precision RoutingModel Quantization
0 likes · 9 min read
Why OpenClaw Is So Expensive and How QuantClaw Cuts Cost by 21% While Boosting Speed 15%
Old Zhang's AI Learning
Old Zhang's AI Learning
May 9, 2026 · Artificial Intelligence

Claude’s Open‑Source Financial Skills: A Deep Dive

Anthropic’s new claude‑for‑financial‑services repository bundles 11 ready‑to‑run agents, vertical plugins, and 11 MCP data connectors that automate core Wall Street workflows—from pitch decks and earnings reviews to valuation modeling—while offering clear installation paths and guidance for enterprise customization.

AI agentsClaudeFinancial Services
0 likes · 13 min read
Claude’s Open‑Source Financial Skills: A Deep Dive
TonyBai
TonyBai
May 9, 2026 · Artificial Intelligence

Why a Top Anthropic Engineer Claims HTML, Not Markdown, Is the Ultimate Language for AI

In the age of powerful AI agents, Anthropic’s Thariq argues that Markdown’s simplicity becomes a limitation, advocating HTML for its superior information density, visual clarity, two‑way interaction, and shareability, while the community debates token costs and editing friction.

AI agentsAgent CommunicationClaude
0 likes · 11 min read
Why a Top Anthropic Engineer Claims HTML, Not Markdown, Is the Ultimate Language for AI
Machine Heart
Machine Heart
May 9, 2026 · Artificial Intelligence

Can QuantClaw Cut OpenClaw Costs by 21% and Speed Up Inference by 15%?

QuantClaw, an open‑source plug‑in for the OpenClaw AI agent framework, uses a systematic quantization study to dynamically route tasks to appropriate model precisions, achieving up to 21% cost reduction, 8‑15% latency improvement, and even higher task scores across diverse workloads.

AI agentsModel QuantizationOpenClaw
0 likes · 8 min read
Can QuantClaw Cut OpenClaw Costs by 21% and Speed Up Inference by 15%?
21CTO
21CTO
May 9, 2026 · Artificial Intelligence

Why Most AI Coding Feels Like Driving a Ferrari to Buy Milk

In an interview, Neel Sundaresan, the founding engineer behind GitHub Copilot and now lead of IBM Bob, explains how his API‑recommendation system evolved into an enterprise‑focused AI coding assistant, discusses the hidden costs of large models, and shares his view on the future of AI agents.

AI agentsAI codingIBM Bob
0 likes · 10 min read
Why Most AI Coding Feels Like Driving a Ferrari to Buy Milk
ZhiKe AI
ZhiKe AI
May 9, 2026 · Artificial Intelligence

Why Agent Loops Matter More Than Raw Model Power

The article explains how AI agents that operate in a reasoning‑action‑observation loop outperform single‑shot LLM inference by continuously observing, planning, and correcting errors, illustrated through a ticket‑booking example and detailed analyses of ReAct, Plan‑Execute, OODA, and Steering Loop architectures.

AI agentsAgent LoopLLM
0 likes · 15 min read
Why Agent Loops Matter More Than Raw Model Power
Linyb Geek Road
Linyb Geek Road
May 9, 2026 · Artificial Intelligence

Why Overly Long Context Files Reduce AI Agent Success by 3% and Raise Token Cost 20%

The article shows that adding redundant context to AI agents like Claude harms efficiency: each extra 50 lines dilutes attention, lowers task success by about 3 % and inflates token usage by roughly 20 %, because the model’s instruction budget is capped at 150‑200 tokens, so context files must be concise and focused on non‑derivable information.

AGENTS.mdAI agentsCLAUDE.md
0 likes · 17 min read
Why Overly Long Context Files Reduce AI Agent Success by 3% and Raise Token Cost 20%
Old Zhang's AI Learning
Old Zhang's AI Learning
May 8, 2026 · Artificial Intelligence

Testing RHTV: Native AI Agent Powers One‑Stop Face‑Swap, Image Refinement, and Video Production

The article evaluates RunningHub’s RHTV platform, showing how its native AI agent integrates face‑swap, product‑image refinement and video generation on a single infinite canvas, eliminating the fragmented workflow of other tools and enabling rapid, controllable short‑form video creation demonstrated with a toothbrush‑promotion example.

AI agentsAI video generationRHTV
0 likes · 7 min read
Testing RHTV: Native AI Agent Powers One‑Stop Face‑Swap, Image Refinement, and Video Production
AI Waka
AI Waka
May 8, 2026 · Artificial Intelligence

Deep Dive into AI Agents: Inside Claude Code, OpenClaw, and Hermes

This article dissects the internal architecture of three distinct AI agents—Anthropic’s Claude Code, the open‑source OpenClaw, and Nous Research’s Hermes—explaining their command layers, ReAct loops, instruction files, toolsets, memory systems, skill formats, extensions, and multi‑agent communication, and shows how to configure them for optimal performance.

AI agentsClaude CodeHermes
0 likes · 35 min read
Deep Dive into AI Agents: Inside Claude Code, OpenClaw, and Hermes
Architect's Ambition
Architect's Ambition
May 8, 2026 · Artificial Intelligence

A 12,000‑Word Guide to Agent Harness: Designing and Implementing Production‑Ready AI Agents

The article presents a comprehensive 7‑layer Agent Harness architecture that transforms experimental LLM‑based agents into stable, cost‑effective, secure, and observable production‑grade autonomous workers, illustrated with real‑world case studies, performance metrics, and concrete implementation details.

AI agentsAgent ArchitectureMulti-Agent Collaboration
0 likes · 33 min read
A 12,000‑Word Guide to Agent Harness: Designing and Implementing Production‑Ready AI Agents
ITPUB
ITPUB
May 8, 2026 · Artificial Intelligence

How Oracle Skills Open Source Signals the Rise of the AI Skill Era

Oracle has open‑sourced its Skills repository on GitHub, providing over 100 curated, version‑compatible guides for Oracle Database, OCI, GraalVM, Fusion and APEX, and defining a new AI‑centric “Skill” abstraction that lets agents safely generate and execute database operations, heralding a Skill‑driven AI engineering era.

AI EngineeringAI agentsDatabase Skills
0 likes · 16 min read
How Oracle Skills Open Source Signals the Rise of the AI Skill Era