Jenkins the definitive guide lt(第四回jenkins勉強会)

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This document is about Jenkins, an open source automation server that enables developers to reliably build, test, and deploy their software. It discusses how Jenkins can be used to automate tasks like building Java projects, running tests with tools like JUnit, and deploying code to servers like Amazon EC2, Google App Engine, or Windows Azure. The document also mentions that Jenkins supports integration with version control systems and platforms like Hadoop and can be used to continuously build and test code changes from tools like Git.

Jenkins

Jenkins The Definitive Guide

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tamagawa_ryuji@twitter

Jenkins

2 Jenkins

Jenkins

Hadoop

Hadoop MapReduce

Google App Engine

Windows Azure

Web

Jenkins The Definitive Guide

Jenkins
Jenkins
Jenkins
Jenkins

Jenkins

Jenkins

Amazon Web Services EC2
CloudBees DEV@Cloud

Amazon Web Services EC2
CloudBees DEV@Cloud

Jenkins the definitive guide lt(第四回jenkins勉強会)

Jenkins the definitive guide lt(第四回jenkins勉強会)

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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject. We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup. Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved. The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring. The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise. By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.

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