This article summarizes the Agent Harness Engineering survey, outlining the evolution from Prompt to Context to Harness engineering, presenting the seven‑layer ETCLOVG framework, benchmark findings, and the shift toward platform‑level observability, governance, and trace‑native evaluation for reliable AI agents.
This article summarizes the extensive “Agent Harness Engineering: A Survey” paper, detailing how moving beyond prompt engineering to a seven‑layer harness framework (ETCLOVG) is crucial for reliable, production‑grade agents, and explains benchmark gains, evaluation shifts, and the evolving competition from framework to platform.
The survey "Agent Harness Engineering: A Survey" reveals how agent systems have evolved from prompt engineering to context engineering and now to harness engineering, introduces the seven‑layer ETCLOVG framework, shows benchmark gains from better harnesses, and argues that observability, governance, and trace‑native evaluation are essential for production‑grade AI agents.
The article examines a curated list of 25 AI‑driven Skills, showing how they can be transformed from simple prompt templates into repeatable, governed workflow assets that boost team productivity, preserve institutional knowledge, and enable scalable process automation across learning, documentation, and decision‑making tasks.
The article surveys DeepSeek’s Harness initiative, presenting the Binding‑Constraint Thesis, three‑stage evolution from prompt to harness engineering, the ETCLOVG seven‑layer architecture, and concrete benchmark evidence that harness‑only improvements far outweigh model upgrades, while detailing security, observability, and governance considerations for reliable LLM agents.
The article outlines a four‑stage agent development lifecycle—Build, Test, Deploy, Monitor—explaining how early, iterative delivery, systematic testing, controlled deployment, and continuous monitoring transform experimental agents into reliable production systems while addressing governance, cost, and scalability challenges.
The article surveys AI‑assisted research across the full lifecycle—creation, writing, validation, and dissemination—detailing the capabilities of prompt engineering, retrieval‑augmented generation, training‑free agents and hybrid methods, reporting benchmark numbers, failure modes, and governance challenges that dictate when human oversight remains essential.
The article presents a six‑layer Agentic AI governance framework that details concrete operations, implementation steps, and real‑world success and failure cases, guiding enterprises to maximize autonomy and productivity while keeping risks within acceptable limits.
Architects often view standards as abstract, yet when dealing with diverse stakeholder interests, establishing clear platform architecture standards—identifying key parties, building consensus, and formally publishing the rules—creates enforceable constraints that reduce conflict and give architects authoritative guidance for evolution.
The article outlines a three‑stage maturity model for software factories, explains the federal architecture adopted by the U.S. military, defines the distinct responsibilities of the group, institute and department layers, details mandatory interface contracts, and provides a step‑by‑step evolution roadmap for 2026 military‑grade software development.
The article presents a five‑layer governance stack for AI agents—identity, centralized tool registry, policy enforcement, behavioral anomaly detection, and unified security posture—detailing how each layer mirrors traditional engineering team management to reduce attack surface, audit complexity, and migration costs.
This article analyses the evolution of software engineering, examines the U.S. Department of Defense’s distributed software‑factory network, identifies governance and integration challenges for large defence organisations, and proposes a “total‑branch” design that unifies platform, process and team structures to achieve scalable, secure DevSecOps delivery.
The article analyzes how Palantir's ontology engineering unifies semantic and operational layers to provide unified business views, executable actions, governance, and evolution capabilities that empower AI agents with reliable context, closed‑loop control, scenario simulation, and easier deployment across enterprise environments.
The article analyzes OpenClaw, revealing that while it functions as an AI agent orchestration layer rather than a true cloud platform, its reliance on external services introduces significant security, governance, and architectural risks that enterprises must carefully evaluate before adoption.
The article explains that simply scaling large language models cannot sustain long‑running, production‑grade AI agents, and that a dedicated Agent Harness—acting as an operating system with orchestration, memory, governance, tool execution, and feedback loops—is essential for reliable, industrial‑scale automation.
The article analyzes how AI is shifting from excessive marketing hype to practical tooling, highlighting massive capital spending, low deployment maturity, a productivity paradox in software development, and the emerging risks and governance challenges of AI agents.
The article examines the hidden governance gap of powerful enterprise AI agents, shares real‑world failures from the OpenClaw platform, and proposes a practical AAAA (Access, Authority, Audit, Abort) framework to safely deploy autonomous assistants in production environments.
After a client demo revealed that using Slack chats to coordinate three AI agents cannot scale to dozens, the author argues that instant‑messaging is only a gateway, proposes a four‑layer ICSE architecture (Intent‑Control‑Service‑Event), outlines governance policies, and maps new product opportunities for PMs in the multi‑agent era.
The article analyses why using instant‑messaging groups to orchestrate multiple AI agents cannot scale to dozens or hundreds of agents, proposes a four‑layer ICSE architecture, compares three agent‑to‑agent communication models, and outlines the new governance, design, and roadmap responsibilities that product managers will need to master.
The World Economic Forum's Global Cybersecurity Outlook warns that cyber risk will accelerate through 2026, driven chiefly by AI advances, while geopolitical fragmentation, supply‑chain complexity and divergent CEO‑CISO risk perceptions further strain collective resilience.
The Linux community has formalized a continuity plan that outlines how the kernel project will keep evolving if Linus Torvalds steps aside, detailing distributed development, fallback leadership roles, a 72‑hour response process, and the mechanisms for a smooth handover.
This checklist compiles 30 actionable items covering model design, data consistency, performance, quality, metadata governance, cost efficiency, and collaboration to help data warehouse teams build trustworthy, high‑performance, and maintainable data pipelines.
This article outlines fifteen frequent cloud‑architecture mistakes—such as orphaned resources, misconfigurations, poor team communication, over‑reliance on single tools, and lack of governance—explaining why they happen, their architectural impact, and practical steps to avoid costly outages and inefficiencies.
The talk outlines the AI+ era's digital ecosystem, traces the evolution from traditional AI to Agentic AI, examines emerging AI Agent technologies, and shares concrete enterprise‑level development practices, frameworks, and governance strategies for financial industry deployments.
The article analyses Dario Amodei’s shift from OpenAI to Anthropic, his insistence on early AI regulation, the non‑linear growth of model capabilities versus linear governance, the engineering‑focused safety framework—including Constitutional AI—and the broader industry and policy debates surrounding AI safety as a foundational protocol.
An in‑depth review of the WEF‑Capgemini 2025 whitepaper reveals how AI agents are transitioning from simple chatbots to autonomous decision‑making partners, outlining a three‑layer architecture, new communication protocols, governance challenges, risk assessment frameworks, and practical steps for enterprises to deploy trustworthy agents.
This comprehensive guide breaks down microservice governance into four pillars—node management, load balancing, routing, and fault tolerance—providing concrete configurations, algorithm choices, and service‑mesh recommendations to achieve 99.99% availability, cut wasted resources by over 30%, and halve iteration cycles.
The article reveals non‑technical traps in architecture governance—deliberate information hiding and omission of key stakeholders—that can undermine technical reviews, and it offers practical mitigation by involving directly related domain experts.
This article explains the core differences between Enterprise Architecture and Solution Architecture, outlines how they complement each other, and provides practical governance methods to ensure effective collaboration and reduce technical debt.
This article explores the full lifecycle of automation process management, covering definition, planning, design, execution, monitoring, quality and security controls, continuous optimization, common pitfalls, and practical steps to transform automation from isolated scripts into a sustainable, measurable organizational capability.
This guide walks you through designing, constructing, version‑controlling, testing, and governing enterprise‑grade Jenkins Shared Libraries so you can treat your pipelines as reusable, maintainable software projects and accelerate CI/CD across teams.
This guide outlines a systematic enterprise architecture planning framework—from business capability mapping and digital maturity assessment to asset inventory, debt identification, technology selection, phased implementation, risk mitigation, and continuous governance—helping organizations align technology with business goals and accelerate successful digital transformation.
This article explains what MLOps is, why a robust MLOps framework is essential for businesses, outlines its core components, compares MLOps with AIOps, details the benefits of investing in MLOps, and provides a step‑by‑step guide to designing enterprise‑grade AI MLOps infrastructure.
The article explains Hyperliquid's native HYPE token, its governance, staking, fee‑discount and incentive roles, clarifies that most platform activity involves USDC‑backed perpetual contracts rather than direct HYPE spot trades, and offers practical guidance for traders and investors.
The article reviews Yang Xiaofang’s presentation on trustworthy AI, emphasizing the need for systematic support, inclusive design, and participatory governance, and outlines the evolution, capabilities, risks, and multi‑layered solutions for multi‑agent AI systems.
This article explains the concept of technical debt, its origins, classification, and impact on development speed and quality, then presents a detailed panorama, identifies challenges in a fast‑growing multi‑language environment, and outlines a structured governance framework with visual tools, prioritization matrices, and actionable steps to reduce and manage debt.
Technical debt, the intentional or accidental shortcuts taken during software development, is classified into four quadrants and multiple layers such as architectural and code‑quality debt, and can be managed through a governance framework that records items, prioritizes them by value‑vs‑cost, allocates dedicated improvement time, enforces linting and CI, and guides systematic migrations like Flutter null‑safety.
This article presents a comprehensive visual guide to enterprise digital transformation, covering overall digital planning, application system architecture, data architecture, information security architecture, and digital organization and governance, illustrating each layer with detailed diagrams to aid strategic implementation.
This article examines the rapid growth of AI agents, outlines typical privacy and security challenges such as data leakage, model attacks, and prompt injection, and proposes comprehensive governance and technical measures to mitigate these risks in enterprise deployments.
This article examines the rapid growth of AI agents, outlines their core components and classifications, analyzes a wide range of privacy and security threats—including data leakage, prompt injection, jailbreak, backdoor, hallucination, and memory attacks—and proposes practical governance measures to mitigate these risks.
This article presents a comprehensive analysis of page performance issues across Kuaishou's commercial front‑end projects, outlines the challenges of unified governance, B‑end experience measurement, and C‑end web‑native integration, and details the systematic optimization strategies and measurable results that significantly improved user experience and business metrics.
In a detailed farewell note, Linux kernel maintainer Serge Semin explains the opaque removal of Russian contributors by Greg KH, criticizes the lack of transparency, reflects on the political motivations behind the decision, and recounts his seven‑year contributions and gratitude to fellow developers.
The Python Steering Council’s decision to suspend core developer Tim Peters for three months sparked intense community debate, exposing governance challenges, code‑of‑conduct disputes, and concerns over transparency within the language’s open‑source ecosystem.
The article details Rust’s recent governance overhaul, introducing a new Leadership Council that replaces the core team, outlines its responsibilities, lists its inaugural members, and discusses the broader implications of the community’s shift away from a centralized leadership model.
This article examines Baidu's Jarvis2.0 platform, detailing how its multi‑runtime architecture, unified control plane, and automated deployment pipelines transformed a sprawling microservice ecosystem of over 1,000 services into a highly efficient, cloud‑native system that dramatically reduced release times, improved stability, and enabled seamless multi‑language support.
This article presents JD Retail’s metric middle‑platform practice, describing the background problems of legacy metric systems, the four‑step solution framework, the overall architecture, semantic‑layer construction with the 4W1H method, configurable metric production, acceleration techniques, governance mechanisms, achieved results and future plans.
Event‑tracking governance ensures accurate, consistent user‑behavior data by managing the full lifecycle of logging points through defined quality standards, a digitized workflow, and supporting tools such as rule editors, real‑time testing, and compliance monitoring, while the platform’s page‑scene tree model and metrics improve visibility, reduce duplication, and drive business insight.
The article explains event tracking, its data‑quality challenges, and presents a logging platform that enforces quality standards, an end‑to‑end online workflow, and specialized design, testing, and validation tools—including extended field types—to govern, monitor, and improve tracking point compliance across applications.
OpenAI has created a new safety committee led by Sam Altman and board members, aiming to evaluate and improve safeguards while former researchers voice concerns about the company’s commitment to AI safety and ethics.
This article explains how a data security governance platform protects data across its entire lifecycle—from warehouse construction and collection to application—by implementing fine‑grained permission controls, encryption, masking, authentication, and comprehensive auditing, while addressing scalability, high availability, and regulatory compliance challenges.
At the 2nd OSPO Summit 2024 in Shenzhen, Vivo acted as a platinum sponsor and organizing‑committee member, leading the “Qi” thematic session, co‑creating an open‑source tools list, and pledging to boost its OSPO governance, supply‑chain security, and leadership in the broader open‑source ecosystem.
This article explores enterprise data security governance, outlining practical methodologies, implementation pathways, and real-world case studies to guide organizations in planning and establishing robust data security governance frameworks while highlighting key challenges, compliance considerations, and measurable outcomes for sustained protection.
Despite IPv6 offering vastly larger address space and technical improvements, its adoption remains low due to IPv4 legacy solutions, compatibility challenges, migration costs, and ISP unpreparedness; the article analyzes these obstacles and proposes six measures—including highlighting dual benefits, native IPv6 stacks, ISP support, government policies, stakeholder collaboration, and thorough testing—to accelerate deployment.
This article details a multi‑phase slow‑SQL governance initiative that defines clear goals, metrics, and operational steps—from data preparation and ticket flow to trend analysis and process tracking—culminating in measurable improvements in system stability and performance.
The article explains why continuous, proactive data maintenance is essential for an outcome‑driven enterprise data strategy, outlines the risks of poor data quality, and provides practical steps—including business rules, service agreements, KPIs, and ownership—to establish an always‑on data‑maintenance process.
The article explains how to define security requirements within business context, outlines strategic security architecture principles, distinguishes governance, management and operations, and describes the steps and components needed to formalize and prioritize effective security processes for an organization.
On October 26, UN Secretary‑General António Guterres announced the creation of a new AI advisory body composed of 39 experts from government, industry, academia and civil society, aimed at fostering a multistakeholder, multidisciplinary global dialogue to maximize AI benefits, mitigate risks, and support sustainable development goals.
The article explains how enterprise architecture (EA) principles and design architecture principles (DAPs) should be defined, prioritized, and linked to business goals to guide technical standards, overcome resistance, and drive effective governance and behavioral change within organizations.
Data security governance, essential for modern enterprises, involves classifying and authorizing data, implementing scenario-based protections, and establishing comprehensive frameworks that address compliance, asset management, process control, and continuous improvement, guiding organizations through strategic planning, organizational structuring, policy creation, and ongoing operational monitoring.
The Taobao platform’s slow‑SQL governance team implemented a comprehensive detection and governance pipeline—combining internal slow‑log tools, database slow‑query logs, and JVM‑Sandbox instrumentation to capture full SQL details, scoring high‑risk queries by execution time, scans, and standards violations, then prioritizing remediation through health scores, branch‑diff checks, and issue tracking—significantly cutting DB‑related incidents and boosting system stability.
The article presents a comprehensive, step‑by‑step methodology for designing, evaluating, and governing enterprise modernization and digital transformation initiatives, covering vision, strategy, current and future state analysis, requirements, feasibility, trade‑offs, decisions, models, design, specifications, and agile governance.
At the 2023 China Digital Economy Innovation Development Conference, Ant Group presented its composite data security governance framework, detailing systematic, practical approaches for safeguarding cross‑border data flows, integrating technical, managerial, and ecosystem measures to enhance data protection while supporting digital economic growth.
This article outlines the end‑to‑end process of designing, building, and governing a data‑warehouse model for the new commercial WOS system, covering business research, data‑domain division, multi‑layer architecture, modeling methods, practical case studies, governance challenges, and improvement strategies.
This article explains how to construct an Internal Developer Platform (IDP) on Kubernetes by outlining its essential components, adding default add‑on tools, establishing governance and policies, and implementing continuous integration/continuous delivery pipelines to provide developers with a safe, efficient, and cost‑effective experience.
The article explains why microservice governance—through measurement, targeted remediation, and verification—is crucial for maintaining system stability, reducing complexity, and improving availability in large‑scale, rapidly evolving architectures.
This article explains how enterprises can implement data security governance in China's digital economy era, covering relevant laws, the essence and direction of data security, Alibaba Cloud DataWorks practices, scenario cases, and a Q&A, offering practical guidance for compliance and risk management.
The article explains MITRE's enterprise engineering approach, describing a comprehensive perspective, enterprise planning and management, technology and infrastructure, information‑intensive systems, systems‑of‑systems, mission‑assurance engineering, transformation planning, and governance, while highlighting the need for adaptable, scalable solutions across large, interdependent organizations.
The Rust project has introduced a new top‑level governance body, the Rust Leadership Council, replacing the core team with representatives from nine top‑level teams to address past governance issues and improve coordination across the community.
This article explains how ArchGuard 2.0 leverages large language models to transform tacit architectural knowledge into dynamic, DSL‑based governance functions, detailing the challenges of traditional tools, the design of the Co‑mate system, and the practical implementation using Kotlin REPL.
The article explains the concept of systemic risk in both economics and technology, compares it with non‑systemic risk, describes how it propagates, lists common sources, outlines its impact on technical teams and business value, and provides a step‑by‑step framework for modeling, identifying, and governing such risks.
This article describes how Qunar's technology center defined, measured, and managed system complexity through a custom modeling framework, implemented a dashboard for continuous monitoring, and established an anti‑corruption governance process that limits complexity growth to maintain low maintenance costs across hundreds of applications and systems.
This article explores enterprise architecture as a practice of modeling and managing an organization’s structures, processes, systems, data, and product portfolios, emphasizing the importance of process models, model convergence, governance, and how APQC’s PCF and MosaiQ tools can streamline EA efforts.
The article outlines a large commercial bank’s understanding of data security, shares its comprehensive management practices—including governance, lifecycle protection, technical support, and industry collaboration—and presents a forward‑looking perspective on future challenges and enhancements in data security.
The 2022 Kubernetes landscape saw mainstream adoption with widespread managed services, increased edge usage, a thriving open‑source ecosystem, growing interest in stateful workloads, and persistent operational and security challenges, highlighting both the platform's maturity and the work still needed for broader enterprise confidence.
The article outlines Rust's 2023 priorities, emphasizing governance and leadership challenges, a potential compiler rewrite, strengthening Cargo, advancing async and unsafe programming, and fostering innovation while avoiding stagnation, all aimed at sustaining the language's reliability and performance.
The article outlines how to define security requirements within business context, presents a security requirement vision (SRV) and strategic architecture principles, distinguishes security governance, management and operations, and describes a formalized security process framework—including ownership, documentation, integration matrices, roles, and automation opportunities—to guide consistent, traceable security solutions.
Neglecting AI ethics and governance can expose companies to severe public‑relations crises, biased outcomes, regulatory penalties, unexplainable systems, and employee disengagement, ultimately threatening both societal trust and business sustainability.
This article outlines JD Daojia's comprehensive approach to data tracking (埋点) governance, covering the definition, motivations, unified processes, detailed standards, quality controls, platform optimizations, measurable benefits, and future directions to ensure high‑quality, reliable analytics across multiple client platforms.
Microsoft engineer Nick Cameron outlines the ten biggest governance, ecosystem, and technical challenges Rust must overcome in the coming years, offering insight into community dynamics, crate management, async support, language usability, memory safety, compiler complexity, and macro design.
Enterprises face governance challenges as Kubernetes adoption surges, requiring centralized platforms, standardized blueprints, role‑based access control, policy enforcement, drift detection, and lifecycle management to maintain control, security, and agility across multiple clusters.
The article examines the challenges of demonstrating ROI for enterprise architecture in companies that have replaced ERP with default EA, discusses common misconceptions and high costs, and proposes a 5W2H‑based approach to regain EA’s strategic impact while minimizing effort.
This guide explains what a DAO is, why it matters, and provides a step‑by‑step roadmap—including naming, mission statements, community platforms, and the essential smart‑contract and token tools—to successfully create and run a decentralized autonomous organization.
This article explains how Tencent created the open‑source TDesign system, its multi‑team organization, rule‑based governance, tooling, GitHub automation, documentation strategy, and contributor incentives, showing how a large‑scale design system can stay consistent while evolving across many technology stacks.
This article presents a detailed overview of data security governance in China, covering policy milestones, major security incidents, current challenges, a three‑layer governance model, practical workflow steps, classification methods, emerging zero‑trust concepts, and real‑world case studies, offering actionable insights for organizations seeking robust data protection.
The article outlines how to define security requirements within business context, presents strategic security architecture principles, distinguishes security governance, management and operations, and describes a formalized approach to documenting and integrating security processes for effective enterprise information security.
This article explores how Project Management Offices function within agile organizations, examining the risks they mitigate, the governance they provide, the tension with agile teams, and practical approaches for integrating PMOs as supportive leaders in large‑scale agile transformations.
The article explains enterprise architecture as a practice of modeling and managing organizational, process, system, data, and product/service models, discusses how these models converge, emphasizes the importance of governance, and shows how APQC’s PCF and the cloud‑based MosaiQ tool can accelerate EA work while also providing community links for further discussion.
The jointly authored whitepaper by China Software Testing Center, National Information Center, and Ant Group introduces a data security composite governance model, detailing strategic, managerial, and technical dimensions, multi‑view security measurement, and practical implementation guidance for enterprises under the new data security law.
The article explains the formation of the non‑profit PHP Foundation, its founding members, funding model, governance structure, and how it aims to sustain PHP's core development by supporting contributors with salaries and grants.
This article examines the evolving landscape of recommendation systems, outlines current business trends and technical challenges, and introduces Flowengine—a declarative, low‑code, component‑based framework that improves architecture governance, scalability, and operational efficiency for AI‑driven recommendation services.
This article explains why RocketMQ was chosen, describes its large‑scale usage, details the design and implementation of a same‑city dual‑center architecture with near‑by production and consumption, outlines failover mechanisms, governance practices, lessons learned, and future plans for the messaging platform.
This guide presents a comprehensive, step‑by‑step framework for IT architecture governance, covering objectives, governance models, roles, processes, standards, toolchains, metrics, and an implementation roadmap to help organizations align technology decisions with business goals.
The guide details how to build a distributed message‑governance platform for the Hello mobility service, covering unified SDK design, RocketMQ pitfalls, client and cluster health monitoring, risk mitigation, and a tiered microservice high‑availability architecture that uses circuit‑breaking, rate‑limiting, and pre‑heating to ensure resilient traffic handling.
The article outlines six key DevSecOps best practices—including establishing a security model, enforcing governance policies, automating security tasks, training developers, applying network segmentation, and limiting administrative privileges—to help organizations overcome staffing and collaboration challenges while maintaining consistent security throughout the development and operations lifecycle.
This article analyzes the technical design, deployment options, data handling, governance, and future direction of the ZhiXin blockchain platform, illustrating how it ensures immutable evidence storage, smart‑contract execution, cross‑chain transactions, and compliance within a consortium environment.
This article examines the critical role of stability governance in evolving systems, outlines a three‑stage framework—usability, monitoring alerts, and online emergency—illustrated with a case study of an electronic waybill service, and shares concrete strategies for prevention, detection, response, and post‑mortem to achieve predictable, observable, and fast‑acting reliability.
The article describes how Liulishuo automates data‑warehouse task scheduling by parsing SQL to build DAGs, introduces systematic governance to improve reliability, reduce execution time, and handle unreliable data sources, ultimately enhancing data‑engineering efficiency.
This article examines the evolving challenges of recommendation system architecture, presents the Flowengine platform’s declarative, low‑code, component‑based approach to governance, and demonstrates how it improves scalability, maintainability, and cloud‑native deployment for AI‑driven recommendation services.
The article explains how to evaluate and improve data warehouse design by measuring completeness, reusability and standardization, proposes concrete metrics such as cross‑layer reference rate and model reuse coefficient, and outlines a step‑by‑step process—from ODS control to domain division, dimension unification, fact‑table integration, model development and migration—while introducing the EasyDesign tool for systematic management.
The article examines how enterprises can shift from traditional project‑based portfolio management to a lean‑agile approach, detailing changes in team organization, budget planning, execution, and governance to align with business strategy and reduce waste.
