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Agent workflow

43 articles · Page 1 of 1
Data Bricklaying Diary
Data Bricklaying Diary
Oct 23, 2026 · Artificial Intelligence

Agent Workflow Runtime Governance: Classify Failures, Evidence Packages, and Escalation Paths

The article analyzes why agent workflows that succeed in demos fail in production, proposing a runtime governance framework that classifies failures into technical, data, business uncertainty, and controllable progression categories, mandates evidence-based human-in-the-loop with evidence packages, and defines a state machine with escalation paths for reliable execution.

AI productionAgent workflowError classification
0 likes · 21 min read
Agent Workflow Runtime Governance: Classify Failures, Evidence Packages, and Escalation Paths
Su San Talks Tech
Su San Talks Tech
Oct 18, 2026 · Artificial Intelligence

MinerU: Structure-Aware Document Parsing for RAG and Agent Workflows

This article explains why MinerU, an open-source document parser with 80k+ GitHub stars, outperforms traditional text-extraction tools by understanding document structure — handling multi-column layouts, tables, and formulas — and introduces its four-tier parsing modes, stable locators for Agent workflows, and practical integration code for Python and Java.

Agent workflowMinerUOpen Source
0 likes · 16 min read
MinerU: Structure-Aware Document Parsing for RAG and Agent Workflows
dbaplus Community
dbaplus Community
Oct 14, 2026 · Artificial Intelligence

From Personal AI Coding to Team Agent Workflows: The EP-Harness Platform

This article details how EP-Harness, built on the Multica platform, addresses gaps in personal AI coding by providing a managed agent platform that integrates with team workflows, enabling prompt review, experience reuse, observability, and closed-loop automation for tasks like log inspection and dependency updates.

AI codingAgent workflowAutomated Governance
0 likes · 14 min read
From Personal AI Coding to Team Agent Workflows: The EP-Harness Platform
AndroidPub
AndroidPub
Oct 12, 2026 · Artificial Intelligence

How Opus 5.5 Creates MG Animations by Writing Code Instead of Drawing Frames

Opus 5.5 generates MG animation videos by writing React code that describes each frame, which a headless browser renders and FFmpeg encodes into MP4, using a five-step pipeline of scriptwriting, component design, timestamp-synced voiceover, rendering, and self-verification via frame extraction and speech recognition.

AI video generationAgent workflowFFmpeg
0 likes · 17 min read
How Opus 5.5 Creates MG Animations by Writing Code Instead of Drawing Frames
PMTalk Product Manager Community
PMTalk Product Manager Community
Oct 6, 2026 · Product Management

AI PM Self-Assessment: 5-Dimension Framework to Quantify Skills & Gaps

This article presents a five-dimension capability model for AI product managers — Technical Understanding, Prompt Engineering, Data Thinking, Product Design, and Commercial Execution — each with five proficiency levels, enabling self-assessment in 10 minutes with concrete improvement paths and 2026 trend predictions.

AI Product ManagementAgent workflowCapability Framework
0 likes · 18 min read
AI PM Self-Assessment: 5-Dimension Framework to Quantify Skills & Gaps
Machine Heart
Machine Heart
Sep 19, 2026 · Artificial Intelligence

Editable-Design: AI-Generated Designs You Can Edit, Layer by Layer

Editable-Design is an open-source system that combines visual AI models with code generation to produce editable, layered design files with real text and draggable elements, solving the dilemma of beautiful but uneditable AI images versus structured but aesthetically poor code outputs.

Agent workflowDesign ToolsEditable Design
0 likes · 11 min read
Editable-Design: AI-Generated Designs You Can Edit, Layer by Layer
Baidu Geek Talk
Baidu Geek Talk
Sep 10, 2026 · Artificial Intelligence

Agentic Harness Workflow: Engineering AI Coding into a Fixed Pipeline with Specialized Sub-Agents

The author presents a self-built framework that decomposes AI-assisted development into a fixed 12-stage pipeline — from requirement clarification to archival — each executed by a dedicated sub-agent orchestrated by a central Manager, with state persisted to disk, human approval gates at critical steps, and git worktree isolation for parallel requirements.

AI codingAgent workflowGit Worktree
0 likes · 30 min read
Agentic Harness Workflow: Engineering AI Coding into a Fixed Pipeline with Specialized Sub-Agents
Tech Architecture Stories
Tech Architecture Stories
Sep 3, 2026 · Backend Development

DxC: Natural-Language Content Workbench with 8-Step Pipeline & Local Memory

DxC is a personal content workbench that uses natural language to orchestrate an 8-step production pipeline — research, brief, outline, draft, title, visuals, review, and WeChat draft delivery — backed by local hybrid retrieval (SQLite FTS5 + BGE embeddings) and a four-layer memory system that persists across projects.

Agent workflowBGE embeddingsSQLite FTS5
0 likes · 19 min read
DxC: Natural-Language Content Workbench with 8-Step Pipeline & Local Memory
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 AgentsAgent workflowClaude Code
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.

Agent workflowDSHautomation
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 gatewayAgent workflowAlibaba Cloud
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 generationAgent workflowB-roll
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 agentsAgent workflowLLM 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 contextAgent workflowContinuous Evolution
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 testingAgent workflowQA automation
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 HardwareAgent workflowOpenAI
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 programmingAgent workflowClaude Code
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 automationAgent workflowCI triage
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 AgentsAgent workflowContext Engineering
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 engineeringAI governanceAgent workflow
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 codingAgent workflowCopilot
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 generationAgent workflowOpen Source
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 codingAgent workflowOpen Source
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 recruitmentAgent workflow
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 assistantAgent workflowClaude Code
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.

Agent workflowFree APIcost reduction
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 automationAgent workflowGoal mode
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.

Agent workflowOpenAIResponses 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 AgentsAgent workflowAnthropic
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.

AIAgent workflowDHH
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 assistantAgent workflowCLI installation
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 toolsAgent workflowLarge Language Models
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 developmentAgent workflowGitHub
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 translationAgent workflowClaude
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 AgentsAgent workflowBest Practices
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 automationAgent workflowLLM
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.

Agent workflowDeepDocIntelligent Chunking
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.

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