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agent workflow

34 articles · Page 1 of 1
Linyb Geek Road
Linyb Geek Road
Aug 21, 2026 · Artificial Intelligence

Why Loop Engineering Is Obsolete: Master Graph Engineering in One Guide

The article explains how linear, single‑Agent workflows (Prompt and Loop Engineering) become slow and fragile for complex tasks, introduces Graph Engineering as a way to restructure work into parallel, dependent nodes with explicit handoffs, validation checkpoints, and controlled loops, and provides practical actions, examples, and criteria for when to adopt or avoid this approach, including a discussion of Claude Code’s Dynamic Workflows implementation.

AI AgentsClaude CodeDynamic Workflows
0 likes · 25 min read
Why Loop Engineering Is Obsolete: Master Graph Engineering in One Guide
Architect
Architect
Aug 17, 2026 · Operations

Choosing DSH Plugins: From Architecture Layers to Agent Workflows

With a growing ecosystem of DSH plugins—from simple file path helpers to vision toolkits and automation workflows—this article outlines a pragmatic selection order, explains the four architectural layers each plugin touches, and highlights the hidden dependencies, data persistence, permission and failure‑recovery issues you must evaluate before installing.

AutomationDSHSoftware Architecture
0 likes · 16 min read
Choosing DSH Plugins: From Architecture Layers to Agent Workflows
Alibaba Cloud Native
Alibaba Cloud Native
Aug 13, 2026 · Artificial Intelligence

Which Model Should Handle Your Request? Alibaba Cloud AI Gateway Intelligent Routing Goes Live

As the number of LLMs grows, developers face the dilemma of selecting the right model for each request; Alibaba Cloud’s AI Gateway introduces intelligent routing that evaluates model capabilities, cost, speed, and task suitability, making a single, optimal decision per request while preserving context in multi‑turn and Agent workflows.

AI GatewayAlibaba CloudCloud Native
0 likes · 11 min read
Which Model Should Handle Your Request? Alibaba Cloud AI Gateway Intelligent Routing Goes Live
ShiZhen AI
ShiZhen AI
Aug 11, 2026 · Artificial Intelligence

How I Turned One Open‑Source B‑roll Skill into Five Distinct Video Styles

The article shows how the author transformed the open‑source gbro‑collage‑broll skill into eight visual styles, demonstrated five complete B‑roll videos, and walked through installing the skill, splitting scripts, selecting styles, verifying static frames, and batch‑generating videos using an AI‑powered agent.

AI video generationB-rollFFmpeg
0 likes · 12 min read
How I Turned One Open‑Source B‑roll Skill into Five Distinct Video Styles
Linyb Geek Road
Linyb Geek Road
Aug 1, 2026 · Artificial Intelligence

Maximize Token ROI in AI Coding Agents: Practical Optimization Techniques

This guide explains why token usage is a hidden cost in AI coding assistants, breaks down token economics, and provides eight concrete, step‑by‑step optimization methods—including prompt compression, language choice, context layering, output constraints, workflow mode selection, model routing, tool pruning, and sub‑agent configuration—to dramatically cut token spend while improving result quality.

AI coding agentsContext ManagementLLM Cost
0 likes · 22 min read
Maximize Token ROI in AI Coding Agents: Practical Optimization Techniques
AI Code to Success
AI Code to Success
Jul 24, 2026 · Artificial Intelligence

Doubao-Seed-Evolving: Real‑World Evaluation of ByteDance’s Continuously Evolving LLM

This article evaluates ByteDance’s Doubao-Seed-Evolving model, highlighting its weekly‑level updates, 1 M‑token context window, improved stability for long‑chain agent tasks, cost‑effective inference, and real‑world performance on a full‑project Android code‑refactoring case.

1M token contextCode RefactoringDoubao-Seed-Evolving
0 likes · 12 min read
Doubao-Seed-Evolving: Real‑World Evaluation of ByteDance’s Continuously Evolving LLM
Huajiao Technology
Huajiao Technology
Jul 17, 2026 · Operations

Layering QA Skills Before AI Automation: Lessons from the Agent Era

As AI accelerates code generation, testing pressure shifts to validation, prompting a restructured QA workflow that isolates repeatable steps into layered, callable Skills while retaining human judgment for high‑risk decisions, illustrated through six concrete skill categories.

AI TestingQA automationQuality delivery
0 likes · 15 min read
Layering QA Skills Before AI Automation: Lessons from the Agent Era
Design Hub
Design Hub
Jul 16, 2026 · User Experience Design

Why OpenAI’s First Hardware Looks Nothing Like Typical AI Gear

OpenAI’s limited‑edition Codex Micro repurposes a tabletop controller into an agent‑dispatch console, using layered physical controls and subtle RGB cues to surface AI status, streamline workflow initiation, and let users make weighted decisions without turning the device into a flashy AI‑hardware showcase.

AI hardwareOpenAIUX
0 likes · 11 min read
Why OpenAI’s First Hardware Looks Nothing Like Typical AI Gear
AI Architecture Hub
AI Architecture Hub
Jul 14, 2026 · Artificial Intelligence

Beyond Prompt Libraries: Turning Expert AI Coding Experience into Reusable Agent Workflows

Multiple mid‑to‑large R&D teams report that senior architects can boost requirement review and code iteration efficiency by over 40% with AI, while novices see a three‑fold increase in rework, highlighting the need to convert hidden expert knowledge into standardized, verifiable Agent processes rather than relying solely on prompt collections.

AI programmingClaude CodeLoop Engineering
0 likes · 14 min read
Beyond Prompt Libraries: Turning Expert AI Coding Experience into Reusable Agent Workflows
Su San Talks Tech
Su San Talks Tech
Jul 5, 2026 · Artificial Intelligence

A Practical Guide to Loop Engineering: Automating AI Workflows with Markdown

The article explains how to implement a Loop automation system using three essential Markdown files—AGENTS/CLAUDE, STATE, and SKILL—detailing their roles, safety rules, verification steps, prompt commands (/loop and /goal), and a step‑by‑step setup from zero to a near‑unattended AI‑driven workflow.

AI automationCI triageLoop Engineering
0 likes · 15 min read
A Practical Guide to Loop Engineering: Automating AI Workflows with Markdown
Xike
Xike
Jul 1, 2026 · Artificial Intelligence

How Skill Packages Turn AI Agents into Scenario Experts

The article explains how reusable Skill packages encapsulate domain knowledge, standard workflows, and output formats to enable AI agents to act professionally in specific contexts, addressing token efficiency, team conventions, and seamless integration with Loop, Harness, Context, Tool Use, and MCP.

AI AgentsPrompt designSkill module
0 likes · 15 min read
How Skill Packages Turn AI Agents into Scenario Experts
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jun 29, 2026 · Artificial Intelligence

Enterprise‑Level FDE Knowledge Framework: From Business Insight to AI Engineering Delivery

This article outlines a comprehensive enterprise‑grade FDE knowledge system covering AI deployment roles, business insight, large‑model fundamentals, prompt and context engineering, ontology modeling, agent‑based workflows, production‑grade engineering, quality assurance, governance, and organizational asset management.

AI GovernanceAI engineeringEnterprise AI
0 likes · 12 min read
Enterprise‑Level FDE Knowledge Framework: From Business Insight to AI Engineering Delivery
LuTiao Programming
LuTiao Programming
Jun 27, 2026 · Artificial Intelligence

Microsoft's MAI-Code-1-Flash Arrives in IntelliJ, Prompting Java Teams to Ditch the One‑Model‑Fits‑All Approach

Microsoft's new MAI‑Code‑1‑Flash model is now available in IntelliJ, signaling a shift for Java developers from using a single, heavyweight AI model for all tasks to selecting fast, task‑specific models that improve iteration speed, reduce costs, and better match the risk profile of each coding activity.

AI codingCopilotJava
0 likes · 19 min read
Microsoft's MAI-Code-1-Flash Arrives in IntelliJ, Prompting Java Teams to Ditch the One‑Model‑Fits‑All Approach
AI Architecture Path
AI Architecture Path
Jun 25, 2026 · Artificial Intelligence

OpenMontage: Generate Full‑Length Short Videos from One Prompt

Short‑video creators face exploding production cycles, runaway AI costs, low‑quality outputs, and copyright risks; OpenMontage, an open‑source agent‑driven system with 12 pipelines and 52 tools, automates the entire workflow—from research to rendering—at a fraction of the cost, offering both free local and paid cloud routes.

AI video generationOpenMontageagent workflow
0 likes · 15 min read
OpenMontage: Generate Full‑Length Short Videos from One Prompt
Su San Talks Tech
Su San Talks Tech
Jun 23, 2026 · Artificial Intelligence

What Is Superpowers and Why Is It Suddenly So Popular?

Superpowers is an open‑source AI‑coding framework that replaces ad‑hoc prompt‑driven generation with a disciplined, five‑stage development workflow enforced through a set of Markdown‑defined skills, improving code quality, maintainability, and cross‑platform compatibility while addressing the chaotic "Vibe Coding" problem.

AI codingSuperpowersagent workflow
0 likes · 17 min read
What Is Superpowers and Why Is It Suddenly So Popular?
inShocking
inShocking
Jun 20, 2026 · Industry Insights

What 813 AI Job Listings Reveal About Beijing’s AI Market

Analyzing 813 AI‑related positions from 555 Beijing companies, the author uncovers a startup‑dominated market, a shift from model competition to Agent‑driven automation, and emerging talent demands such as Multi‑Agent, RAG, and deployment expertise.

AI industry insightsAI recruitmentBeijing
0 likes · 14 min read
What 813 AI Job Listings Reveal About Beijing’s AI Market
Java Tech Enthusiast
Java Tech Enthusiast
Jun 10, 2026 · Artificial Intelligence

How to Keep Claude Code Honest: 4 Essential Configurations

Claude Code often hallucinates by inventing functions, imports, or test results, which wastes time; this article explains a four‑layer engineering setup—honesty rules, pre‑write verification, post‑write hooks, and a dedicated fact‑checking sub‑agent—to force the model to provide evidence before claiming code works.

AI coding assistantClaude CodeSubagent
0 likes · 14 min read
How to Keep Claude Code Honest: 4 Essential Configurations
ShiZhen AI
ShiZhen AI
Jun 3, 2026 · Artificial Intelligence

Will Free Multimodal APIs Redefine AI Development Costs?

Agnes AI is offering its text, image, and video model APIs for unlimited free use, prompting a shift in AI application development where high‑frequency, multi‑step workflows—such as agents, content editing, and short‑video generation—can be prototyped and iterated without the token‑cost barriers that previously limited small teams.

Free APIImage Editingagent workflow
0 likes · 16 min read
Will Free Multimodal APIs Redefine AI Development Costs?
Java Architect Essentials
Java Architect Essentials
May 27, 2026 · Artificial Intelligence

How a Top OpenAI Engineer Extracts Maximum Value from Codex

Jason Liu, the creator of the 13k‑star Instructor library and new Codex team member, reveals how to turn Codex into a persistent, autonomous agent using long‑living threads, Heartbeats + @computer, Goal mode, local memory storage, and validation loops for continuous work.

AI automationGoal ModeHeartbeats
0 likes · 9 min read
How a Top OpenAI Engineer Extracts Maximum Value from Codex
Shi's AI Notes
Shi's AI Notes
Apr 24, 2026 · Backend Development

How OpenAI’s Responses API WebSocket Revamp Accelerates Agent Workflows by 40%

OpenAI identified API‑overhead as the new bottleneck after faster model inference and introduced a persistent WebSocket connection that caches conversation state, overlaps request phases, and preserves the original API shape, delivering up to a 40% end‑to‑end latency reduction and dramatically higher TPS.

BackendOpenAIResponses API
0 likes · 11 min read
How OpenAI’s Responses API WebSocket Revamp Accelerates Agent Workflows by 40%
AI Waka
AI Waka
Apr 15, 2026 · Artificial Intelligence

How Claude Managed Agents Simplify Building AI Agents

Claude Managed Agents provides a fully managed cloud environment that handles agent loops, tool execution, context management, and session continuity, allowing developers to define an agent once and let Anthropic’s runtime take care of the rest, dramatically reducing infrastructure overhead.

AI AgentsAnthropicClaude
0 likes · 13 min read
How Claude Managed Agents Simplify Building AI Agents
Architect's Journey
Architect's Journey
Apr 10, 2026 · Industry Insights

Why Switching to AI Development Makes You Busier, Not Faster

The author reflects on moving from traditional backend work to AI development, describing how the shift brings longer hours but a more engaging, exploratory workload, a broader perspective, new documentation practices, and a changed hiring landscape.

AI DocumentationAI developmentagent workflow
0 likes · 7 min read
Why Switching to AI Development Makes You Busier, Not Faster
TonyBai
TonyBai
Apr 10, 2026 · Artificial Intelligence

Why AI Is Driving Top Programmers’ Salaries Higher – Insights from DHH

In a candid interview, Ruby on Rails creator DHH explains how AI breakthroughs like Claude Opus and Agent‑first workflows are inflating the value of elite developers while marginalizing average coders, and he shares concrete examples of his own AI‑augmented productivity gains.

AIDHHRuby on Rails
0 likes · 12 min read
Why AI Is Driving Top Programmers’ Salaries Higher – Insights from DHH
Top Architecture Tech Stack
Top Architecture Tech Stack
Apr 2, 2026 · Artificial Intelligence

Master OpenAI Codex: Install, Configure, and Boost Your Coding Workflow

This guide walks developers through the full lifecycle of OpenAI Codex—from understanding its role as a code‑agent, comparing it with Claude Code, and choosing the right usage mode, to installing the CLI, configuring MCP plugins, selecting models, and mastering the most common commands and shortcuts for an efficient AI‑augmented development workflow.

AI coding assistantCLI installationDebugging
0 likes · 19 min read
Master OpenAI Codex: Install, Configure, and Boost Your Coding Workflow
Shi's AI Notebook
Shi's AI Notebook
Mar 30, 2026 · Artificial Intelligence

AI Daily Digest March 30, 2026: Open‑Source Tools, Model Releases, and Research Highlights

The March 30 AI daily digest curates recent open‑source voice input and TypeScript libraries, new development workflows, a 30B parameter model that runs on 24 GB GPUs, and NVIDIA's PivotRL research that reduces reinforcement‑learning rollouts while matching end‑to‑end performance, all with concrete benchmarks and links.

AI toolsTypeScriptagent workflow
0 likes · 13 min read
AI Daily Digest March 30, 2026: Open‑Source Tools, Model Releases, and Research Highlights
AI Architecture Path
AI Architecture Path
Mar 9, 2026 · Artificial Intelligence

How Superpowers Transforms AI Coding into an Engineered Workflow

This article explains the common pitfalls of AI‑generated code, introduces the open‑source Superpowers framework that enforces a structured, test‑driven workflow, details its core skills and mandatory steps, shows cross‑platform installation for Claude Code, Codex and OpenCode, and offers practical tips for effective AI development.

AI developmentGitHubSuperpowers
0 likes · 12 min read
How Superpowers Transforms AI Coding into an Engineered Workflow
DeepNoMind
DeepNoMind
Mar 7, 2026 · Artificial Intelligence

From Prompt Chains to Agents: My Three‑Stage Journey Building an AI Translation Skill

The author chronicles a two‑year evolution of an AI‑powered translation skill, moving from simple prompt‑based translations to model‑rewriting and finally to an agent‑driven workflow that handles diverse inputs, chunking, terminology consistency, quality grading, and personalized configurations.

AI translationClaudeSkill Development
0 likes · 17 min read
From Prompt Chains to Agents: My Three‑Stage Journey Building an AI Translation Skill
Code Mala Tang
Code Mala Tang
Feb 21, 2026 · Artificial Intelligence

Mastering Cursor AI Agents: Best Practices for Efficient Code Generation

This guide explains how to harness Cursor's AI agents for software development by covering agent harness components, planning modes, context management, rule and skill extensions, long‑running loops, image handling, common workflows like TDD and Git integration, parallel execution, cloud delegation, and debugging strategies.

AI AgentsCursoragent workflow
0 likes · 20 min read
Mastering Cursor AI Agents: Best Practices for Efficient Code Generation
Shuge Unlimited
Shuge Unlimited
Feb 9, 2026 · Artificial Intelligence

Build Agent Workflows in 3 Minutes with Refly’s Natural‑Language Builder

Refly is an open‑source Agent Skills Builder that lets you create production‑grade AI workflows in minutes using natural language, offering versioned, reusable skills, runtime intervention, extensive tool integrations, and export options that outperform traditional automation platforms.

AI automationLLMProduct Review
0 likes · 16 min read
Build Agent Workflows in 3 Minutes with Refly’s Natural‑Language Builder
Baobao Algorithm Notes
Baobao Algorithm Notes
Feb 3, 2026 · Industry Insights

How One Developer Merges 600 Commits a Day with AI: Inside the Clawdbot Workflow

In this in‑depth interview, Peter Steinberger explains how AI agents let him submit and merge hundreds of commits daily, replace traditional code reviews with prompt‑driven requests, and redesign his development workflow around a closed‑loop validation system that reshapes modern software engineering.

AI engineeringagent workflowcode review
0 likes · 85 min read
How One Developer Merges 600 Commits a Day with AI: Inside the Clawdbot Workflow
Tech Freedom Circle
Tech Freedom Circle
Sep 25, 2025 · Artificial Intelligence

RAGFlow Primer Part 1: Introduction and Concept Deep Dive

This article provides a comprehensive technical overview of RAGFlow, an industrial‑grade Retrieval‑Augmented Generation platform, detailing its architecture, core components such as DeepDoc, intelligent chunking, embedding integration, multi‑stage retrieval, and agent workflow, while comparing it with traditional RAG shortcomings.

DeepDocIntelligent ChunkingLLM
0 likes · 32 min read
RAGFlow Primer Part 1: Introduction and Concept Deep Dive
Qborfy AI
Qborfy AI
Jul 11, 2025 · Artificial Intelligence

Building a Dynamic Agent Workflow with LangGraph: A Step‑by‑Step Guide

This tutorial walks through creating a full‑featured LLM Agent workflow using LangGraph, covering goal definition, task decomposition, execution nodes, state updates, re‑planning logic, and user feedback, while comparing ReAct and Reflexion approaches and providing complete Python code examples.

LLMLangChainLangGraph
0 likes · 11 min read
Building a Dynamic Agent Workflow with LangGraph: A Step‑by‑Step Guide