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3504 articles · Page 2 of 36
Architecture & Thinking
Architecture & Thinking
Jul 15, 2026 · Artificial Intelligence

Say Goodbye to Manual Diagramming: The Open‑Source AI Tool That’s Turning Heads

The article introduces fireworks‑tech‑graph, an open‑source AI‑driven diagram skill that turns natural‑language descriptions into fully styled SVG diagrams, offering seven built‑in visual themes, support for 14 UML types, an extensive icon library, and concise command‑line usage, dramatically cutting the time engineers spend on manual drawing.

AI diagramLLMUML
0 likes · 15 min read
Say Goodbye to Manual Diagramming: The Open‑Source AI Tool That’s Turning Heads
AI Programming Lab
AI Programming Lab
Jul 14, 2026 · Frontend Development

How scholar-slides Uses HTML to Build Accurate Academic PPTs

The article details the development of scholar-slides, an HTML‑based skill that renders academic presentation slides with vector formulas, editable tables, verified citations, and automated quality checks, addressing the shortcomings of existing AI PPT tools.

HTMLKaTeXPlaywright
0 likes · 8 min read
How scholar-slides Uses HTML to Build Accurate Academic PPTs
DeWu Technology
DeWu Technology
Jul 13, 2026 · Artificial Intelligence

From Manual API Calls to Thinking Agents: DeWu Recommendation System Diagnosis

The article details DeWu's evolution from manual, experience‑driven recommendation troubleshooting to an AI‑powered diagnostic platform called “PushCheck”, describing its dual‑mode Highway/ATV architecture, the Story‑Skill framework, knowledge‑base integration, evolution pipeline, and a real‑world case study.

AI AgentDiagnostic ArchitectureOpenClaw
0 likes · 20 min read
From Manual API Calls to Thinking Agents: DeWu Recommendation System Diagnosis
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jul 13, 2026 · Artificial Intelligence

Agent Skills: Production‑Grade AI Toolkit for Reliable Software Delivery

Agent‑Skills bundles AI‑driven commands and 24 skill modules to guide software projects through specification, planning, building, testing, reviewing, and shipping, addressing common agent‑programming pitfalls and emphasizing evidence‑based quality checks for faster yet reliable delivery.

AI AgentsAgent SkillsGitHub
0 likes · 5 min read
Agent Skills: Production‑Grade AI Toolkit for Reliable Software Delivery
DeepNoMind
DeepNoMind
Jul 13, 2026 · Artificial Intelligence

Building an Effective AI Code Review Tool: Context, Multi‑Round Consensus, and Feedback Loops

The article analyzes how AI‑driven code review becomes a new bottleneck after coding acceleration, proposes a three‑layer capability model—context construction, multi‑round consensus, and feedback loops—plus four core insights, and illustrates the approach with real‑world data from Snap's CodePal.

AI Code ReviewLLMautomation
0 likes · 13 min read
Building an Effective AI Code Review Tool: Context, Multi‑Round Consensus, and Feedback Loops
Linyb Geek Road
Linyb Geek Road
Jul 13, 2026 · Artificial Intelligence

Why AI Agents Crash and How Harness & Loop Engineering Make Them Run Autonomously

The article explains why AI agents frequently fail in production, identifies four core runtime failure modes, and shows how a two‑layer architecture—Harness for stability and Loop engineering for autonomous scheduling—combined with concrete configurations, memory tiering, and verification loops can keep agents running reliably.

AI AgentHarnessLoop Engineering
0 likes · 18 min read
Why AI Agents Crash and How Harness & Loop Engineering Make Them Run Autonomously
Test Development Learning Exchange
Test Development Learning Exchange
Jul 12, 2026 · Fundamentals

Master Python’s Built‑in Math Functions for Precise API Automation

This article walks through six essential Python built‑in functions—abs(), sum(), min(), max(), round() and pow()—showing concrete use cases such as calculating response‑time deviations, tolerant float assertions, total request time, pass/fail counts, pagination calculations, and exponential back‑off, while highlighting common pitfalls and best‑practice patterns for robust API testing scripts.

API testingData ProcessingPython
0 likes · 18 min read
Master Python’s Built‑in Math Functions for Precise API Automation
PaperAgent
PaperAgent
Jul 12, 2026 · Artificial Intelligence

Anthropic’s Official Loop Engineering Guide Revealed

Anthropic’s newly published Loop Engineering guide organizes existing agent capabilities into a structured framework, defining four loop types—turn‑based, goal‑based, time‑based, and proactive—and explains how to design reliable triggers, verification steps, stop conditions, and cost‑control measures for autonomous AI workflows.

AI AgentsAnthropicLoop Engineering
0 likes · 11 min read
Anthropic’s Official Loop Engineering Guide Revealed
Linyb Geek Road
Linyb Geek Road
Jul 12, 2026 · Operations

Designing a High‑Availability Architecture: Core Principles and Practices

This article outlines the essential principles for building a high‑availability system, covering cluster and distributed designs, fault‑tolerance, reliable hardware, disaster recovery, monitoring, security, capacity planning, and automated scaling to achieve optimal performance and resilience.

Cluster ArchitectureMonitoringautomation
0 likes · 6 min read
Designing a High‑Availability Architecture: Core Principles and Practices
LuTiao Programming
LuTiao Programming
Jul 11, 2026 · Backend Development

Stop Manually Scanning Maven Red Logs: Why Java Teams Should Adopt Cursor Automations

The article explains how Java teams can replace time‑consuming manual inspection of Maven CI failures with Cursor Automations, detailing concrete use cases, rule definitions, safe‑fix scopes, and sample prompts that let AI locate, summarize, and suggest actions for CI and PR review issues while keeping developers in control.

AICIGitHub Actions
0 likes · 18 min read
Stop Manually Scanning Maven Red Logs: Why Java Teams Should Adopt Cursor Automations
Linyb Geek Road
Linyb Geek Road
Jul 11, 2026 · Artificial Intelligence

How to Slash Token Costs When Using AI Agents

The article analyzes why AI agents quickly consume token quotas and presents seven practical strategies—shortening sessions, avoiding parallel sub‑agents, giving concise prompts, providing precise context, pre‑defining rules, automating mechanical tasks, and investing in clear prompts—to dramatically reduce token usage and lower operational costs.

AI AgentsPrompt EngineeringToken Cost
0 likes · 10 min read
How to Slash Token Costs When Using AI Agents
LuTiao Programming
LuTiao Programming
Jul 10, 2026 · Backend Development

Using Codex to Automate Full Java Spring Boot Tasks, Not Just Generate Code

The article explains how Java developers can treat Codex as an engineering agent that executes complete, well‑scoped Spring Boot tasks—by defining project rules, isolating work in a Git worktree, crafting detailed prompts with acceptance criteria, and reviewing changes in stages—to save repetitive development effort.

AGENTS.mdAI codingCodex
0 likes · 18 min read
Using Codex to Automate Full Java Spring Boot Tasks, Not Just Generate Code
Xiaomi Tech
Xiaomi Tech
Jul 10, 2026 · Operations

From Vibe Coding to Harness Engineering: Controlling AI‑Assisted JDK Upgrades

The article explains how AI‑assisted coding, once limited to new feature development, can be harnessed for complex maintenance tasks such as JDK 21 upgrades by imposing systematic execution constraints, structuring knowledge into reusable skills, orchestrating tools, and establishing feedback loops that turn each upgrade into a repeatable, measurable engineering process.

AIEngineering ProcessJDK Upgrade
0 likes · 17 min read
From Vibe Coding to Harness Engineering: Controlling AI‑Assisted JDK Upgrades
Su San Talks Tech
Su San Talks Tech
Jul 10, 2026 · Artificial Intelligence

The 10 Hottest AI Programming Skills of 2026 (And How to Use Them)

This article explains what Claude "Skills" are, compares them to traditional prompts, presents the 10 most practical Skills that dominate the 2026 programming scene, and provides installation commands, usage scenarios, and best‑practice tips for each.

AI programmingClaude SkillsPrompt vs Skill
0 likes · 13 min read
The 10 Hottest AI Programming Skills of 2026 (And How to Use Them)
Advanced AI Application Practice
Advanced AI Application Practice
Jul 10, 2026 · Operations

Why More Test Cases Can Increase Bugs and How This AI Skill Closes Testing Gaps

The article explains that writing many test cases does not guarantee bug reduction because missing test points create blind spots, and introduces the AI‑powered test‑point‑generator skill that systematically scans requirements across 14 dimensions to produce comprehensive, verifiable test points and reduce P1 incidents.

AI testingCI pipelineTest Case Design
0 likes · 17 min read
Why More Test Cases Can Increase Bugs and How This AI Skill Closes Testing Gaps
Linyb Geek Road
Linyb Geek Road
Jul 10, 2026 · Artificial Intelligence

Why Writing Specs Is Just Writing Code Again – The Double‑Watch Dilemma

The article argues that detailed specification documents for AI agents end up being as verbose and bug‑prone as actual code, turning a single spec into two code‑like artifacts and exposing a "precision conservation" law that makes AI‑generated code unreliable.

AI code generationPrompt Engineeringautomation
0 likes · 16 min read
Why Writing Specs Is Just Writing Code Again – The Double‑Watch Dilemma
Amap Tech
Amap Tech
Jul 9, 2026 · Artificial Intelligence

A 24/7 Product Expert: Building and Evolving a Digital Employee for the Product Center

This article chronicles the end‑to‑end engineering journey of a domain‑specific digital employee for a product center, detailing how a large‑model‑driven agent was iteratively built, evaluated, and evolved to automate repetitive data retrieval, enforce hard constraints, and continuously improve through self‑modifying skills.

AI AgentMCPProduct Center
0 likes · 24 min read
A 24/7 Product Expert: Building and Evolving a Digital Employee for the Product Center
Java Companion
Java Companion
Jul 9, 2026 · Operations

Tired of Manually Sifting Through Monitoring? Meet Ongrid, the Ops‑World’s OpenClaw

Ongrid is an open‑source AI Ops agent that integrates with Slack, DingTalk and other chat platforms, automatically detects alerts, performs root‑cause analysis using a built‑in Prometheus/Loki/Tempo/Grafana stack, and can even remediate issues—all without opening inbound ports, offering browser‑based shells and one‑click deployment via install.sh.

AI OpsChatOpsObservability
0 likes · 9 min read
Tired of Manually Sifting Through Monitoring? Meet Ongrid, the Ops‑World’s OpenClaw
Advanced AI Application Practice
Advanced AI Application Practice
Jul 9, 2026 · R&D Management

How the Requirement‑Decomposition Skill Eliminates 99% of Missed Test Risks with One‑Click Structured Reports

The Requirement‑Decomposition skill transforms vague PRDs into a 12‑dimension, structured analysis that automatically highlights concurrency, boundary, and permission risks, generates ready‑to‑use test‑case reports, and enforces four safety red‑lines to keep testing effort accurate and reusable.

AIPRDRequirement Decomposition
0 likes · 15 min read
How the Requirement‑Decomposition Skill Eliminates 99% of Missed Test Risks with One‑Click Structured Reports
Black & White Path
Black & White Path
Jul 9, 2026 · Artificial Intelligence

Aiden: Open-Source Local AI OS with 1500+ Skills, 89 Tools, and 14 Model Providers—Fully Offline

Aiden is an open‑source, locally‑run AI operating system that lets a large language model control your computer, offering over 1500 ready‑to‑use skills, 89 integrated tools, support for 14 model providers, privacy‑first operation without cloud APIs, and configurable trust levels for safe automation.

AI AgentAidenMCP
0 likes · 8 min read
Aiden: Open-Source Local AI OS with 1500+ Skills, 89 Tools, and 14 Model Providers—Fully Offline
AI Architecture Hub
AI Architecture Hub
Jul 9, 2026 · Artificial Intelligence

Why Enterprise AI Loops Fail: Avoid Amplifying Process Chaos by Defining Goals, Evidence, and Permissions

The article analyzes why many enterprises’ AI Loop implementations amplify workflow chaos, presenting Deloitte survey data, a clear distinction between Agents and AI Loops, a five‑element engineering foundation, risk classifications, and a step‑by‑step, low‑risk rollout framework to ensure safe, measurable AI adoption.

AI LoopAI engineeringAI governance
0 likes · 13 min read
Why Enterprise AI Loops Fail: Avoid Amplifying Process Chaos by Defining Goals, Evidence, and Permissions
Raymond Ops
Raymond Ops
Jul 8, 2026 · Operations

Advanced OpenClaw Configuration and Automation Ops Guide

This guide walks engineers through OpenClaw's three‑level configuration hierarchy, JSON5 format, hot‑reload modes, safe restart procedures, systemd service setup, logging, health checks, cron scheduling, memory compaction, vector search integration, Discord and Telegram bot integration, and detailed troubleshooting workflows for production deployments.

ConfigurationCronDiscord
0 likes · 40 min read
Advanced OpenClaw Configuration and Automation Ops Guide
java1234
java1234
Jul 7, 2026 · Backend Development

Maven 4 Arrives After 15 Years: A Complete Rewrite of the Java Build Tool

Maven 4 (currently at 4.0.0‑rc‑5) introduces a Java 17 runtime requirement, separates Build POM from Consumer POM, adds a new POM 4.1.0 model that reduces repetitive configuration, and provides migration tools such as mvnup and mvnsh, while offering step‑by‑step guidance for upgrading from Maven 3.

Build ToolCIJava
0 likes · 13 min read
Maven 4 Arrives After 15 Years: A Complete Rewrite of the Java Build Tool
TonyBai
TonyBai
Jul 7, 2026 · Artificial Intelligence

Build Robust AI Loops with Claude Code: A Step‑by‑Step Guide

This guide explains why AI development now relies on reusable loop structures, defines the six essential loop components, shows how to implement a minimal four‑file system with Claude Code, and provides detailed instructions for triggers, context, actions, verification, state updates, decision logic, permission ladders, scheduling, and common pitfalls.

AI loopsCLIClaude Code
0 likes · 26 min read
Build Robust AI Loops with Claude Code: A Step‑by‑Step Guide
Su San Talks Tech
Su San Talks Tech
Jul 7, 2026 · Artificial Intelligence

Master 97% of Codex Features in 3 Minutes: A Practical Guide

This guide walks you through the essential three‑step setup—creating a project workspace, writing an AGENTS.md specification, and using plan mode—then expands to phone integration, Skills, plugins, MCP, automation, Git workflows, and Worktree isolation, showing how to turn Codex from a chat window into a full‑featured AI‑powered development workstation.

AGENTS.mdAI assistantCodex
0 likes · 10 min read
Master 97% of Codex Features in 3 Minutes: A Practical Guide
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 6, 2026 · Artificial Intelligence

From Feasibility to Self‑Evolution: Four‑Stage Intelligent UI Test Case Generation

The article analyzes Kuaishou’s four‑stage evolution—from a feasibility‑only LLM prompt to a self‑evolving multi‑agent system—showing how AI‑driven test case generation, knowledge injection, and automated review dramatically improve coverage, adoption, and maintenance efficiency in UI testing.

AI testingKnowledge engineeringMulti-agent
0 likes · 22 min read
From Feasibility to Self‑Evolution: Four‑Stage Intelligent UI Test Case Generation
Alibaba Cloud Observability
Alibaba Cloud Observability
Jul 6, 2026 · Operations

How Qoder Embeds Ops Capability to Pinpoint Root Causes in One Sentence

The article shows how integrating Alibaba Cloud's STAROps plugin into Qoder lets developers diagnose production incidents with natural‑language queries, automatically gathering logs, metrics, topology and change data to deliver a structured root‑cause analysis and even generate fix code, cutting investigation time from tens of minutes to a few minutes.

AIDevOpsQoder
0 likes · 14 min read
How Qoder Embeds Ops Capability to Pinpoint Root Causes in One Sentence
Black & White Path
Black & White Path
Jul 6, 2026 · Information Security

How DeepZero Automates Vulnerability Research Pipelines with YAML and LLMs

DeepZero is an open‑source, high‑concurrency pipeline engine that lets security researchers define end‑to‑end vulnerability analysis workflows in YAML, orchestrating tools like Ghidra, Semgrep and large language models, while providing parallel execution, state persistence and automatic recovery.

DeepZeroGhidraLLM
0 likes · 10 min read
How DeepZero Automates Vulnerability Research Pipelines with YAML and LLMs
Architect
Architect
Jul 5, 2026 · Artificial Intelligence

How to Hand Off Night‑Shift Tasks to Claude Code: The Four Critical Loop Hand‑off Points

The article analyses Claude Code's Loop feature for night‑shift automation, breaking the workflow into four hand‑off points—checking, stopping, waiting, and authority—while showing how turn‑based, goal‑based, time‑based and proactive loops can be combined with concrete Skill definitions, /goal, /loop and /schedule commands to keep engineering boundaries clear and auditable.

AI AgentClaude CodeDynamic Workflows
0 likes · 20 min read
How to Hand Off Night‑Shift Tasks to Claude Code: The Four Critical Loop Hand‑off Points
Java Companion
Java Companion
Jul 5, 2026 · Product Management

A 22K‑Star GitHub Project That Turns Product Management Into Plug‑in Skills

The article reviews the PM Skills Marketplace, a GitHub project with over 22,000 stars that packages the entire product‑development workflow into Claude‑driven plug‑ins, detailing its nine skill groups, command usage, real‑world examples, benefits, limitations, and how to install it.

AI pluginsClaude AIGitHub
0 likes · 11 min read
A 22K‑Star GitHub Project That Turns Product Management Into Plug‑in Skills
AI Architecture Hub
AI Architecture Hub
Jul 5, 2026 · Artificial Intelligence

How Anthropic Engineers Deploy Claude: A Practical AI Workflow Methodology

Anthropic engineer Felix Rieseberg explains how to move beyond single‑question chat interfaces by selecting appropriate Claude models, connecting diverse data sources, building layered micro‑workflows, and adopting asynchronous, permission‑aware automation to turn AI into a collaborative, production‑ready partner.

AI AgentsAI WorkflowAnthropic
0 likes · 10 min read
How Anthropic Engineers Deploy Claude: A Practical AI Workflow Methodology
Advanced AI Application Practice
Advanced AI Application Practice
Jul 5, 2026 · Artificial Intelligence

Cut TAPD Bug Reporting from 10 Minutes to 10 Seconds with One Skill

Testing engineers spend about 30 % of their time writing and submitting TAPD bug reports; the bug‑report‑writer‑tapd skill automates screenshot parsing, report generation, six‑dimensional quality scoring, and one‑click submission, boosting single‑bug entry speed from 8‑12 minutes to 10‑15 seconds, improving quality from ~70 % to ~95 % and enabling batch submission.

AIBug ReportingPython
0 likes · 15 min read
Cut TAPD Bug Reporting from 10 Minutes to 10 Seconds with One Skill
Java Architect Essentials
Java Architect Essentials
Jul 4, 2026 · Artificial Intelligence

How to Build a Custom Claude Skill Quickly

This guide explains the simple structure of a Claude Skill, where to place the SKILL.md file, how to write effective front‑matter, use commands, parameters and dynamic injection, and share skills across a team, turning repetitive prompts into reusable, on‑demand actions.

Agent SkillsClaudePrompt Engineering
0 likes · 12 min read
How to Build a Custom Claude Skill Quickly
Raymond Ops
Raymond Ops
Jul 3, 2026 · Operations

Practical Guide to Diagnosing and Fixing NFS Mount Failures

This guide explains the NFS protocol, common mount failures, five root‑cause categories, step‑by‑step installation, configuration, verification, detailed error analysis, real‑world case studies, performance tuning, automation scripts, best‑practice recommendations and monitoring techniques for reliable NFS deployments on Ubuntu 24.04 and Rocky Linux 9.5.

LinuxMountNFS
0 likes · 52 min read
Practical Guide to Diagnosing and Fixing NFS Mount Failures
Ops Community
Ops Community
Jul 3, 2026 · Operations

10 Essential Shell Scripts to Halve Your Ops Workload

These ten practical Bash scripts automate common sysadmin tasks—disk space checks, log rotation, resource monitoring, backup validation, process guarding, port probing, and more—providing reusable, idempotent solutions with logging, alerting, dry‑run support, and cron integration to streamline operations.

CronMonitoringautomation
0 likes · 42 min read
10 Essential Shell Scripts to Halve Your Ops Workload
ThinkingAgent
ThinkingAgent
Jul 3, 2026 · Industry Insights

Which AI Jobs Are Booming and Which Are Vanishing? A 2026 Skill‑Map Overview

In 2026 AI is reshaping the global job market at unprecedented speed, adding 170 million new roles while eliminating 92 million, with 22% of existing jobs fundamentally changed; the article breaks down the fastest‑growing and disappearing positions, emerging AI careers, salary trends, skill‑value shifts, and actionable strategies for individuals and enterprises.

AISalarySkills
0 likes · 22 min read
Which AI Jobs Are Booming and Which Are Vanishing? A 2026 Skill‑Map Overview
Tencent Cloud Developer
Tencent Cloud Developer
Jul 3, 2026 · Artificial Intelligence

Deep Architectural Review of WorkBuddy: The New Paradigm for AI Office Agents

WorkBuddy, launched by Tencent Cloud in March 2026, is a zero‑setup AI agent that turns chat into execution by offering three operation modes, a three‑layer memory system, multi‑model switching, a skill marketplace, multi‑agent collaboration, automated scheduling and a secure sandbox, and its performance is evaluated across code development, stock analysis and content creation scenarios, highlighting both strengths and current limitations.

AI AgentProductivitySkill Marketplace
0 likes · 13 min read
Deep Architectural Review of WorkBuddy: The New Paradigm for AI Office Agents
TechVision Expert Circle
TechVision Expert Circle
Jul 2, 2026 · Operations

Designing an Automated Operations System for Hybrid Cloud Environments

This article shares a hands‑on experience of building a unified, layered automation platform for hybrid‑cloud operations, covering challenges like network, API, and state inconsistencies, and detailing architecture, CMDB, IaC, observability, workflow orchestration, AIOps, security, cost governance, and practical rollout lessons.

AIOpsIaCObservability
0 likes · 13 min read
Designing an Automated Operations System for Hybrid Cloud Environments
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 2, 2026 · Artificial Intelligence

Understanding Loop Engineering Through 16 Humorous Illustrations

The article explains the evolution from Prompt to Loop Engineering, outlines the three‑layer nested loop model, details core components such as Spec and Eval, presents production‑grade design patterns, risk controls, and practical steps for building autonomous AI‑driven development loops.

AI AgentsLoop EngineeringPrompt Engineering
0 likes · 14 min read
Understanding Loop Engineering Through 16 Humorous Illustrations
Amap Tech
Amap Tech
Jul 2, 2026 · Frontend Development

How AI‑Native Refactoring Revamped a Massive Store Front‑End System

The article details a large‑scale AI‑driven refactor of Gaode's store front‑end, explaining why AI was needed, the four core technologies (FilePlan, Task Orchestrator, Clean‑Spec, Knowledge‑Loop), concrete metrics such as 624 AI commits, 6000 anti‑patterns cleared, and the resulting architectural, component and quality improvements.

AI‑Driven RefactoringClean ArchitectureFrontend Architecture
0 likes · 27 min read
How AI‑Native Refactoring Revamped a Massive Store Front‑End System
Data Integration and Governance
Data Integration and Governance
Jul 2, 2026 · Industry Insights

Why the SQL‑Driven Data Analyst Era Is Coming to an End

The article argues that SQL, once the core moat for data analysts, is losing its protective power as AI can instantly generate queries and BI tools enable self‑service analytics, forcing analysts to shift from pure data extraction to business‑level interpretation and decision‑making.

AIBusiness IntelligenceSQL
0 likes · 11 min read
Why the SQL‑Driven Data Analyst Era Is Coming to an End
Golang Shines
Golang Shines
Jul 2, 2026 · Information Security

AI Agent Automates PTES Penetration Testing – Inside Pentester

Pentester is an open‑source AI‑driven framework that fully automates the PTES seven‑stage penetration testing workflow—from pre‑engagement parameter collection and compliance checks to intelligence gathering, vulnerability analysis, exploitation, post‑exploitation, and report generation—by interacting with users one question at a time and parallelizing sub‑tasks.

AI AgentPTESPenetration Testing
0 likes · 9 min read
AI Agent Automates PTES Penetration Testing – Inside Pentester
Frontend AI Walk
Frontend AI Walk
Jul 2, 2026 · R&D Management

AI Skips the Workflow and Writes Correct Code—What Human Value Remains in 2026?

The article examines a real auto‑sign project where a large model directly edited code, bypassing the intended OpenSpec‑based workflow, and argues that while AI can produce usable first drafts, developers still provide essential value through boundary setting, acceptance arbitration, source truth maintenance, organizational memory, and workload reduction decisions.

2026AI programmingOpenSpec
0 likes · 12 min read
AI Skips the Workflow and Writes Correct Code—What Human Value Remains in 2026?
Linyb Geek Road
Linyb Geek Road
Jul 2, 2026 · Artificial Intelligence

Why Future AI Projects Need More Than Code: Deep Dive into OpenAI Harness Engineering

Although teams now have powerful models like GPT, Claude, Gemini, and DeepSeek, AI project efficiency often stalls because teams still manage AI like human programmers, lacking clear constraints and governance; OpenAI's Harness Engineering addresses this by defining specs, evaluations, guards, and traces to make AI agents reliable, auditable, and safely autonomous.

AI AgentsAI governanceEvals
0 likes · 9 min read
Why Future AI Projects Need More Than Code: Deep Dive into OpenAI Harness Engineering
Sohu Tech Products
Sohu Tech Products
Jul 1, 2026 · Artificial Intelligence

10 Must‑Copy Workflow Tricks from OpenAI’s Codex Whitepaper

The article breaks down the Codex‑maxxing whitepaper into ten concrete workflow tricks—pinned threads, voice input, steering, file‑based memory, tool selection, mobile remote handling, automations, verifiable goals, side‑panel collaboration, and a closed‑loop process—showing how to turn Codex from a one‑off chatbot into a long‑running work system.

AI WorkflowOpenAI Codexautomation
0 likes · 15 min read
10 Must‑Copy Workflow Tricks from OpenAI’s Codex Whitepaper
dbaplus Community
dbaplus Community
Jul 1, 2026 · Databases

How DeWu Cut Redis RT by 90% with a Full‑Scale Self‑Built Redesign

The article details DeWu's three‑year evolution of its self‑built Redis platform—covering architecture, access method changes, version upgrades, proxy rate limiting, and automated operations—that together reduced request latency by over 90% while supporting more than 1,000 clusters, 160 TB of memory and near‑10‑million QPS.

DRedis SDKRedisautomation
0 likes · 17 min read
How DeWu Cut Redis RT by 90% with a Full‑Scale Self‑Built Redesign
Data Party THU
Data Party THU
Jul 1, 2026 · Artificial Intelligence

How Leading AI Labs Build and Use Claude Skills Effectively

The article reveals Anthropic’s internal approach to Claude Skills, detailing a nine‑category taxonomy, key principles such as focus and verification, practical writing guidelines, and strategies for scaling, governance, and composition, offering actionable insights for teams deploying Claude Code.

AIAnthropicClaude
0 likes · 16 min read
How Leading AI Labs Build and Use Claude Skills Effectively
Advanced AI Application Practice
Advanced AI Application Practice
Jul 1, 2026 · Operations

Still Copy‑Pasting Bugs? This Skill Inserts Bugs into Feishu Base in 10 Seconds

The bug‑report‑writer v1.1.1 upgrade adds Feishu Base one‑click API writing, cutting single‑bug entry time from two minutes to 10‑15 seconds, boosting overall bug‑submission efficiency by 80% over v1.0 and up to 72‑fold versus manual entry, while supporting batch imports and a six‑dimension quality score.

Batch ProcessingFeishuautomation
0 likes · 11 min read
Still Copy‑Pasting Bugs? This Skill Inserts Bugs into Feishu Base in 10 Seconds
Tech Minimalism
Tech Minimalism
Jul 1, 2026 · Artificial Intelligence

How to Build Sustainable Claude Code Workflows with Loop Engineering: A Complete Guide

This article explains why designing autonomous loops for Claude Code supersedes manual prompting, outlines the three loop forms, compares open‑ and closed‑loop architectures, details the ReAct and Reflexion foundations, and provides a step‑by‑step end‑to‑end example for automating daily issue triage with code snippets, tables, and practical design principles.

AI AgentsClaude CodeGit worktree
0 likes · 21 min read
How to Build Sustainable Claude Code Workflows with Loop Engineering: A Complete Guide
Machine Heart
Machine Heart
Jul 1, 2026 · Artificial Intelligence

How Kuaishou’s AgentX Enables Self‑Iterating Industrial Recommender Systems

AgentX introduces an agent‑driven closed‑loop that automates idea generation, code production, online A/B testing, and experience consolidation, boosting experiment concurrency eight‑fold, increasing per‑person business value 3.7×, and delivering over 0.5% app‑time growth and more than 1 billion RMB annual revenue.

A/B testingAgentXIndustrial AI
0 likes · 13 min read
How Kuaishou’s AgentX Enables Self‑Iterating Industrial Recommender Systems
AI Architecture Hub
AI Architecture Hub
Jul 1, 2026 · Industry Insights

How to Build an AI‑Powered Enterprise Operating System

The article outlines a step‑by‑step framework for creating an organization‑level AI operating system—starting from mapping work, automating repetitive tasks, converting static playbooks into executable AI skills, embedding AI into daily tools, establishing dedicated AI Ops roles, and reshaping product teams—to turn fragmented AI efforts into sustainable, company‑wide capability.

AI OpsClaude CodeEnterprise OS
0 likes · 12 min read
How to Build an AI‑Powered Enterprise Operating System
DataFunTalk
DataFunTalk
Jun 30, 2026 · Artificial Intelligence

31 Teams Push AI Agents Forward in 48‑Hour Beijing Hackathon

In a 48‑hour hackathon co‑hosted by Xiaoshu Technology and Microsoft Accelerator, 31 teams built and demonstrated AI agents across ten enterprise scenarios, revealing practical challenges, design trade‑offs, and emerging trends for moving agents from experimental toys to real‑world enterprise tools.

AI AgentAgent APIEnterprise AI
0 likes · 16 min read
31 Teams Push AI Agents Forward in 48‑Hour Beijing Hackathon
Code Mala Tang
Code Mala Tang
Jun 30, 2026 · Operations

Turning Cross‑Project Prompts into a Structured AI Workflow with OpenSpec

The article analyzes the OpenSpec requirement‑pipeline workflow (v0.3.0), showing how a five‑step process—clarify, split, confirm, execute, wrap‑up—turns vague multi‑project requirements into a disciplined AI‑driven automation pipeline, while highlighting configuration details, suitable team contexts, common pitfalls, and practical improvements.

AI WorkflowMonorepoOpenSpec
0 likes · 15 min read
Turning Cross‑Project Prompts into a Structured AI Workflow with OpenSpec
Architect
Architect
Jun 29, 2026 · Artificial Intelligence

27 Practical Claude Code Tips to Accelerate Real‑World Adoption

The article presents a structured set of 27 Claude Code techniques—organized into three phases of context setup, process control, and automation—that transform the tool from simple code generation into a reliable, verifiable component of engineering workflows, emphasizing isolation, verification, and evidence collection.

AI coding assistantClaude CodePrompt Engineering
0 likes · 19 min read
27 Practical Claude Code Tips to Accelerate Real‑World Adoption
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jun 29, 2026 · Big Data

How DataWorks Data Agent Evolved Across Three Stages and Its Cloud‑Native Engineering Practices

The article systematically outlines DataWorks Data Agent’s progression from a Copilot‑assisted tool to human‑AI collaboration and finally AI‑driven autonomy, details its four‑agent product matrix covering data development, operations diagnostics, autonomous governance and ChatBI, describes three architecture iterations (Dify, AgentScope, QwenCode/OpenClaw) and a cloud‑managed deployment, and cites real‑world efficiency gains such as cutting development cycles from hours to minutes.

AI AgentBig DataData Agent
0 likes · 15 min read
How DataWorks Data Agent Evolved Across Three Stages and Its Cloud‑Native Engineering Practices
macrozheng
macrozheng
Jun 29, 2026 · Fundamentals

Why Developers Are Turning to D2: A Code‑Like, Engineerable Diagramming Tool

The article explains how the open‑source D2 tool solves the frustrations of manual diagram editors by letting developers describe diagrams in plain text, version them with Git, and generate animated, LaTeX‑enabled, multi‑language charts that integrate smoothly into existing workflows.

D2Git version controlInfrastructure as Code
0 likes · 6 min read
Why Developers Are Turning to D2: A Code‑Like, Engineerable Diagramming Tool
DaTaobao Tech
DaTaobao Tech
Jun 29, 2026 · Frontend Development

AI-Powered Animation Pipeline: From After Effects to Ready-to-Run Front‑End Code

The article analyzes the pain points of traditional front‑end animation hand‑off and presents a full‑link solution that uses an After Effects plugin, AI‑driven code generation, and smart integration to turn designer animations into runnable code, cutting development time from hours to minutes while achieving over 95% visual fidelity.

AIAfter Effectsanimation
0 likes · 15 min read
AI-Powered Animation Pipeline: From After Effects to Ready-to-Run Front‑End Code
Frontend AI Walk
Frontend AI Walk
Jun 29, 2026 · Artificial Intelligence

How to Build a Robust AI Loop: The Six‑Component Toolkit and Common Pitfalls

The article breaks down loop engineering into five stages—discover, handoff, verify, persist, schedule—and shows how the six supporting components (Automations, Worktrees, Skills, Sub‑agents, Connectors, State) work together, highlighting brake‑point design, isolation strategies, skill definitions, checker patterns, and maturity levels to avoid costly failures.

AI loopsConnectorsSkills
0 likes · 13 min read
How to Build a Robust AI Loop: The Six‑Component Toolkit and Common Pitfalls
James' Growth Diary
James' Growth Diary
Jun 29, 2026 · Artificial Intelligence

How WorkBuddy’s Expert Mode Turns Prompts into an AI Harness – 10‑Layer Architecture Explained

The article dissects WorkBuddy’s Expert Mode, showing how it transforms cumbersome, hand‑crafted prompts into a modular, installable AI harness through a ten‑layer architecture of Rules, Expert Prompts, Skills, Tools, Memory, Sub‑Agents and automation, enabling reusable, configurable expert capabilities across models.

AIExpert ModePrompt Engineering
0 likes · 17 min read
How WorkBuddy’s Expert Mode Turns Prompts into an AI Harness – 10‑Layer Architecture Explained
Linyb Geek Road
Linyb Geek Road
Jun 29, 2026 · Artificial Intelligence

Understanding Loop Engineering: Concepts, Insights, and Practical Applications

The article explains Loop Engineering by distinguishing it from basic Agent Loops, outlines its six core components, showcases a text‑classification example, and discusses when the approach boosts efficiency versus when traditional Human‑in‑the‑Loop remains preferable.

AI AgentsAgent LoopLoop Engineering
0 likes · 21 min read
Understanding Loop Engineering: Concepts, Insights, and Practical Applications
Linyb Geek Road
Linyb Geek Road
Jun 29, 2026 · Artificial Intelligence

Deep Dive into Loop Engineering: From Prompt Engineering to System Design

Loop Engineering replaces manual prompting with system‑designed loops that let AI agents iterate autonomously, covering its definition, origins, five core modules plus memory, a full‑stack example, experimental results, limitations, and a comparison between Claude Code and Codex.

AI AgentsConnectorGit worktree
0 likes · 16 min read
Deep Dive into Loop Engineering: From Prompt Engineering to System Design
Wuming AI
Wuming AI
Jun 28, 2026 · Artificial Intelligence

How a Dedicated Mailbox Lets AI Agents Receive Tasks Autonomously

The article walks through assigning a unique @agent.qq.com mailbox to an AI Agent, explains why a separate email address is essential for identity, permission, and audit in enterprise workflows, and demonstrates the setup, testing, and automation possibilities with practical examples.

AI AgentEmail IntegrationEnterprise Collaboration
0 likes · 10 min read
How a Dedicated Mailbox Lets AI Agents Receive Tasks Autonomously
IT Services Circle
IT Services Circle
Jun 28, 2026 · Artificial Intelligence

Top 10 Trending GitHub Open‑Source Projects This Week

This article reviews ten noteworthy GitHub open‑source projects released this week, covering AI‑driven website cloning, PDF manipulation, voice cloning, parallel agent orchestration, safe git pushes, AI resume scoring, agent‑native integration, AWS tooling, and automated video production, with key features, usage examples, and repository links.

AIDevOpsGitHub
0 likes · 9 min read
Top 10 Trending GitHub Open‑Source Projects This Week
DataFunSummit
DataFunSummit
Jun 27, 2026 · Artificial Intelligence

How We Turned AI Coding for Data Warehouses into an End‑to‑End Pipeline with Harness

The article analyzes why AI‑generated SQL alone cannot meet production data‑warehouse requirements, outlines four critical pain points, and presents a seven‑layer Harness framework that adds deterministic engineering controls, state persistence, skill registration, anti‑pattern libraries, and evidence‑based checks, achieving up to 94% time reduction and near‑zero side‑effects.

AIEngineeringLLM
0 likes · 34 min read
How We Turned AI Coding for Data Warehouses into an End‑to‑End Pipeline with Harness
Tech Ocean
Tech Ocean
Jun 27, 2026 · R&D Management

Stop Copying Skills: Private Repo + Symlinks Enable One-Command Machine Migration

The author explains how treating Claude Code skills as version‑controlled assets stored in a single private Git repository and linked via symbolic links eliminates duplicate copies, ensures consistent updates, and allows a new machine to be set up with a single clone‑and‑link command, while also describing when to install skills globally versus per‑project.

Claude CodeConfigurationGit
0 likes · 9 min read
Stop Copying Skills: Private Repo + Symlinks Enable One-Command Machine Migration
ArcThink
ArcThink
Jun 27, 2026 · Artificial Intelligence

Why Loop Engineering Is Booming: From Single‑Prompt AI to Runnable Loops

Loop Engineering has gone viral not because it introduces a brand‑new concept, but because AI programming tools now let developers compose runnable loops that combine triggers, context, task allocation, feedback, state, and stop conditions, shifting the role from prompting to designing AI work environments.

AI programmingLoop EngineeringPrompt Engineering
0 likes · 16 min read
Why Loop Engineering Is Booming: From Single‑Prompt AI to Runnable Loops
BirdNest Tech Talk
BirdNest Tech Talk
Jun 26, 2026 · Fundamentals

Refactoring in the AI Era: Evolving Code for Cleanliness

The article explains how AI‑generated code often arrives as tangled, untested code, and shows how to apply classic refactoring principles—technical debt awareness, the Rule of Three, and a three‑step checklist—through the Goal Workflow /refactor and /smell skills, turning Fowler's book into an executable AI agent that diagnoses and cleans code automatically.

AI AgentsRefactoringautomation
0 likes · 18 min read
Refactoring in the AI Era: Evolving Code for Cleanliness
DataFunSummit
DataFunSummit
Jun 26, 2026 · Artificial Intelligence

Loop Engineering Explained: Evolution, Six Core Components, and Control Theory

The article traces the evolution from Prompt Engineering to Context, Harness, and finally Loop Engineering, outlines its six essential components, explains how a feedback‑controlled loop works using control theory, and offers criteria for deciding when to adopt such a system.

AI AgentsControl TheoryLoop Engineering
0 likes · 18 min read
Loop Engineering Explained: Evolution, Six Core Components, and Control Theory
DataFunTalk
DataFunTalk
Jun 26, 2026 · Artificial Intelligence

Why Prompts Are Obsolete and Loop Engineering Is the Next AI Paradigm

The article explains how the AI community is shifting from writing prompts to designing autonomous loops that iteratively execute, evaluate, and repeat tasks, detailing the technical differences from traditional agents, real‑world implementations like Claude Code and OpenAI Codex, and a step‑by‑step roadmap for building reliable loops.

AI LoopAgentPrompt Engineering
0 likes · 13 min read
Why Prompts Are Obsolete and Loop Engineering Is the Next AI Paradigm
TechVision Expert Circle
TechVision Expert Circle
Jun 26, 2026 · Operations

How CTOs Can Build Systems That Make Their Own Decisions

The article explains why, in 2026, CTOs must equip production systems with self‑decision capabilities, outlines an OODA‑loop‑based architecture with perception, decision (three‑brain LLM agent), execution, and feedback layers, and addresses practical challenges such as latency, hallucinations, cost, and team adoption.

LLMOODAObservability
0 likes · 14 min read
How CTOs Can Build Systems That Make Their Own Decisions
Zhongtong Tech
Zhongtong Tech
Jun 26, 2026 · Operations

How Zedge Unified Edge Management Platform Solves Nationwide Distributed Edge Operations

The article details how a two‑year, full‑stack overhaul of a nationwide edge infrastructure—replacing fragmented VM deployments with a KubeEdge‑based Zedge platform, unified CMDB, WebSSH, and Workflow automation—cut version‑release cycles from weeks to minutes, reduced hardware costs by two‑thirds, and boosted operational efficiency by over ten times while strengthening security.

ARMCMDBEdge Computing
0 likes · 15 min read
How Zedge Unified Edge Management Platform Solves Nationwide Distributed Edge Operations
Frontend AI Walk
Frontend AI Walk
Jun 26, 2026 · Artificial Intelligence

How to Let AI Skills Self‑Improve: L4 Evolution Design Principles from Autoresearch

The article defines L4 evolution as human‑defined boundaries plus automated agent exploration, introduces three core design principles from Karpathy’s Autoresearch—single modification surface, fixed evaluation standards, and human‑set boundaries—and shows how to apply them with a seven‑step skill‑engineering pipeline, tool comparisons, and a ratchet keep/revert mechanism.

AI AgentsL4 evolutionSkill Engineering
0 likes · 26 min read
How to Let AI Skills Self‑Improve: L4 Evolution Design Principles from Autoresearch
webdream
webdream
Jun 25, 2026 · R&D Management

From Prompt to Loop Engineering: Is the Next‑Gen AI Computing Engine a Tool or an Operating System?

The article examines how AI is reshaping insurance computing from traditional actuarial engines to a universal AI‑driven engine, outlines eight non‑actuarial use cases, eight future evolution directions, and details a Loop Engineering methodology that turns code‑generation feedback loops into a high‑speed, observable, and reusable development capability.

AIComputational EngineInsurance
0 likes · 17 min read
From Prompt to Loop Engineering: Is the Next‑Gen AI Computing Engine a Tool or an Operating System?
Xike
Xike
Jun 25, 2026 · Artificial Intelligence

Why AI Code Generation Uses a Loop Instead of Simple Q&A

The article explains that AI-powered code writing relies on an Agent Loop—Plan, Act, Observe, Reflect—rather than a single question‑answer exchange, detailing each phase, termination rules, common pitfalls, and practical guidelines for building reliable iterative agents.

AI codingAgent LoopIterative Development
0 likes · 9 min read
Why AI Code Generation Uses a Loop Instead of Simple Q&A
Node.js Tech Stack
Node.js Tech Stack
Jun 25, 2026 · Artificial Intelligence

Testing Tencent Marvis Reveals Claude Code‑Style AI Agent Architecture

The author tests Tencent’s Marvis AI assistant, showing how its dual‑device agent system lets a phone remotely control a Mac, locate and transfer files, execute commands, schedule tasks, and even organize documents offline, while highlighting security controls and the similarity to Claude Code’s multi‑agent design.

AI assistantMarvisagent architecture
0 likes · 9 min read
Testing Tencent Marvis Reveals Claude Code‑Style AI Agent Architecture
AI Architecture Hub
AI Architecture Hub
Jun 25, 2026 · Artificial Intelligence

Loop Engineering: The Essential Skill Every AI Developer Needs by 2026

The article explains how AI developers must move from manually feeding prompts to building automated feedback loops—called loop engineering—detailing token cost challenges, loop architectures, open vs. closed designs, six core modules, and practical examples that illustrate this shift.

AI AgentsClaudeLoop Engineering
0 likes · 14 min read
Loop Engineering: The Essential Skill Every AI Developer Needs by 2026
Architect
Architect
Jun 24, 2026 · Artificial Intelligence

What Architects Should Focus on When Claude, Codex, and Mira Discuss Loop

The article examines Loop engineering for AI agents, arguing that beyond entry points like Claude, Codex, or Mira, architects must ensure reliable feedback, persistent state, clear stop conditions, and human hand‑off, drawing parallels to high‑reliability SRE practices and proposing concrete design and evaluation steps.

AI AgentsLoop EngineeringReliability
0 likes · 20 min read
What Architects Should Focus on When Claude, Codex, and Mira Discuss Loop
Amap Tech
Amap Tech
Jun 24, 2026 · R&D Management

Boosting Cross-Stack Development with Harness-Loop: AI-Powered Full-Stack Delivery

The article introduces the harness-loop engineering framework, which equips AI with a structured workspace and iterative loop to identify impact scope, orchestrate cross-repository tasks, perform differentiated verification, and capture experience, thereby streamlining the full-stack development of Gaode’s Street-Ranking feature across backend, middleware, and client layers.

AIEngineeringFull-Stack
0 likes · 19 min read
Boosting Cross-Stack Development with Harness-Loop: AI-Powered Full-Stack Delivery
DeWu Technology
DeWu Technology
Jun 24, 2026 · Artificial Intelligence

From Forms to AI Agents: Redesigning Community Event Workflows with LLM‑Powered Agents

The article chronicles how a marketing activity that required ten system switches and over forty manual fields was transformed by replacing simple AI‑assisted form filling with a two‑stage Agent architecture and an aggregated workbench, detailing the architectural choices, trade‑offs, and practical lessons learned.

AI WorkflowAgentLLM
0 likes · 20 min read
From Forms to AI Agents: Redesigning Community Event Workflows with LLM‑Powered Agents
Data Party THU
Data Party THU
Jun 24, 2026 · Artificial Intelligence

How to Join the Top 1% of Claude Code Users: The Complete Unshared Playbook

This guide walks developers through every advanced Claude Code technique—from understanding its multi‑layer architecture and crafting a concise CLAUDE.md file to configuring hooks, sub‑agents, MCP servers, and automated CI/CD pipelines—so they can transform Claude from a simple autocomplete tool into a programmable engineering team that delivers production‑grade code with minimal supervision.

AI programmingCI/CDCLAUDE.md
0 likes · 30 min read
How to Join the Top 1% of Claude Code Users: The Complete Unshared Playbook
AI Agent Super App
AI Agent Super App
Jun 24, 2026 · Operations

Will AI Replace Ops Engineers by 2025? From Automated Troubleshooting to One‑Click Deployments

The article examines how AI is reshaping operations—from instant fault detection and 47‑second incident resolution to natural‑language deployment scripts, predictive capacity planning, continuous security monitoring, and automated knowledge bases—while arguing that engineers will transition from fire‑fighters to system designers.

AIOpsautomationcapacity planning
0 likes · 15 min read
Will AI Replace Ops Engineers by 2025? From Automated Troubleshooting to One‑Click Deployments