Diffblue

#AI has changed how almost everybody codes. But how useful are LLM-based AI assistants if the majority of the code generated needs human oversight, review and correction? We decided to put GitHub Copilot (Coding assistant) and Diffblue Cover (AI Agent) comparatively through…

Just published: "Uplifting Test Coverage Out of the Box with Diffblue Cover" The article reveals why traditional approaches to test coverage fail at enterprise scale and how determinism changes everything. Key insight from our Head of Engineering, Thomas Given-Wilson : "Every…

GitHub Chief Product Officer Mario Rodriguez, speaking at Microsoft Ignite, shared how custom agents are reshaping developer workflows and demonstrated Diffblue Cover as an example of purpose-built AI doing the heavy lifting.

Diffblue is now a GitHub Copilot launch partner. GitHub just announced custom agents for Copilot and they selected Diffblue alongside HashiCorp, Dynatrace, JFrog, MongoDB, and PagerDuty to bring specialized AI capabilities directly into the developer workflow. What this means…

Struggling to reliably test static methods in Java? Mockito’s static mocking capabilities (introduced in 3.4.0+) finally make it possible to isolate static calls, control nondeterministic behavior, and build cleaner, more deterministic tests. This guide walks through best…

Join us next week to see how Diffblue’s next-generation unit test platform makes enterprise test coverage systematic, autonomous, and actually achievable. This latest release includes: Guided Coverage Improvement: transform output codes into action plans with "dcover issues"…

What's blocking AI from transforming enterprise software development? It's trust. When AI coding assistants hover at 50-65% accuracy, developers spend more time verifying suggestions than actually coding. In this article, we explore why professional developers distrust AI tool…

Why stay stuck at 40% coverage? 🎯 In case you missed it, we just launched Guided Coverage Improvement, transforming how enterprise teams break through coverage plateaus! Before: Hundreds of cryptic output codes (R013, E115, R026...) leaving developers asking "Where do I even…

Diffblue Cover now addresses more of the key pain points Java enterprises face in unit test generation through three integrated capabilities.! Achieve your coverage goals in 90 days, leverage your existing test infrastructure, and work seamlessly with your approved enterprise…

We benchmark every major LLM against our autonomous agent. Why? Because understanding architectural limits matters more than following hype cycles. But we absolutely respect what LLMs do well. They excel at understanding intent, suggesting patterns, adapting to coding styles.…

Unit tests check the logic. Integration tests check the connections. Both are important. Knowing when to use each one helps you build more reliable Java applications. Explore tools, examples, and testing tips: diffblue.com/resources/unit… #Java #UnitTesting #IntegrationTesting…

Need more control over your Java test generation? Cover Annotations in Diffblue Cover let you guide mocking, inputs, and factory methods. Get smarter, more relevant tests with less manual effort. See how it works: diffblue.com/resources/diff… #Java #UnitTesting #AI #DevTools…

A US Aerospace & Defense company used Diffblue Cover to modernize a 35-year-old Java app. 550k+ lines of code covered by unit tests in 1 month. Estimated 2.5 years of manual effort saved. Smarter coverage. No extra headcount. On-time delivery. Full case study:…

Reinforcement learning isn't just for games or chatbots. At Diffblue, it's how our AI learns to write Java unit tests. No labels. No prompts. Just feedback loops that improve coverage and catch regressions. xAI's Grok 4 shows where RL is going. We're already putting it to work.…

Test writing is complex. The space is huge, feedback is fuzzy, and quality is hard to measure. At Diffblue, we use Reinforcement Learning to solve it. The JVM is our environment. Coverage is our reward. And our AI learns to write better Java tests—automatically. 👉…

Struggling with unmaintainable legacy Java code? Agentic AI could be your answer. Discover how Diffblue’s agentic AI automatically creates maintainable unit tests, simplifying complex codebases: diffblue.com/resources/tami… #LegacyJava #AgenticAI #Java #SoftwareEngineering

Great code quality starts at day one, not at deployment. See how Diffblue Cover makes continuous testing seamless, efficient, and effective: diffblue.com/resources/code… #Java #ContinuousTesting #CI #CodeQuality

Choosing the right Java unit test generator can significantly impact your dev team's productivity and software quality. In our latest blog, we outline the top 12 automated unit testing tools to help you decide which is the best fit for your Java projects. Get insights on…

Traditional coding couldn't solve image recognition. AI did—by learning patterns, not hardcoding rules. We do the same for Java testing. Diffblue Cover uses AI to understand your code and write unit tests automatically. No scripts. No maintenance. Just results. Learn more at…

CI in theory? Write code ➡️ run tests ➡️ catch bugs early ➡️ deploy with confidence. The DevOps dream. CI in reality? Too few unit tests early in the pipeline = bugs found late = time lost. Diffblue helps fix that. Our AI writes Java unit tests automatically, giving you fast,…

Modernizing financial systems doesn’t have to slow you down. With NextWave Consulting, we’re seeing teams hit 80%+ test coverage in days and improve test productivity by up to 26x. Faster testing. Smarter delivery. Less risk. #AI #SoftwareTesting #DigitalTransformation #Java…