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Introducing the Next Generation of AI for Code

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Blog

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5 Key Strategies for Java Application Modernization

Application Modernization is vital for many businesses, but what's the best way to approach it? We consider 5 core options.

Diffblue Cover vs. GitHub Copilot: What’s The Difference?

Diffblue Cover and Github Copilot can create code automatically. But they use different generative AI for code technologies, and help developers in very different ways.

Java Application Modernization Survey: Code Quality is Key

Diffblue surveyed 450 IT leaders to learn more about how they’re approaching Java application modernization. One thing was clear: there’s an awful lot of work to do.
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Guides

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Testing and DevOps

A guide to achieving your DevOps testing goals and overcoming common bottlenecks.

Artificial Intelligence

Everything you need to know about the use of artificial intelligence to automate testing and speed up the software delivery lifecycle.
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Webinars & Videos

Watch the latest of our webinars and videos

ChatGPT is Cool but the Future is Autonomous AI for Code

This Diffblue/InfoQ webinar looks at the pros and cons of LLM-based coding tools and an example (writing Java unit tests) where reinforcement learning is more effective.

Exploring the next generation of AI for Code

This webinar explores new AI-powered features of Diffblue Cover announced in November 2022, and how they help Java teams to solve the problem of unit testing.

Coverage… When is enough, enough? Stop setting unrealistic unit test coverage goals.

Chasing code coverage? We discuss factors that constitute a realistic unit test coverage rate on new and legacy projects - enabling software quality with less effort.
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eBooks

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The Role of AI in Application Modernization

This Diffblue white paper explores how AI-powered tools - software that writes software - support faster, safer Java application modernization, and some of the different technologies available.

AI for Code: Faster Delivery of High Quality Software

Unit testing is a key enabler of fast delivery of high-quality code. This white paper explores how Diffblue’s AI-powered autonomous coding platform accelerates development and reduces the risk of change by autonomously writing Java unit tests.

Unit Regression Tests

A changing approach to unit testing, powered by AI, has made it easier than ever for development teams to get more of the tests they need. Unit regression tests are a new category of tests created by Diffblue Cover, and this ebook provides a rundown of the basics.
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Research

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Diffblue Java Application Modernization Survey

How and why are enterprises modernizing critical Java applications, and what’s holding them back? Diffblue asked Java application owners and engineering leads about what’s driving application modernization, the challenges they foresee, and the impact on development teams.

2021 Spring Framework User Survey

We surveyed 450 Java developers to find out what Spring users see as the specific benefits of the framework, and ask (for the first time, to our knowledge) whether and which of Spring's features have had a wider impact on the testing practices and code quality of Spring users.

2020 DevOps And Testing Report

What can be done to support behavioral change and build a culture that actively supports testing? We surveyed 300 developers, DevOps professionals and senior decision makers about their experiences with testing as part of DevOps.
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