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Upgrading to Drupal 11 requires meticulous testing to ensure compatibility and stability. Beyond traditional methods, AI-driven tools offer innovative solutions to streamline this process: 1. Automated Test Generation: AI can analyze your existing codebase to automatically generate test cases, ensuring comprehensive coverage without manual effort. Tools like Applitools utilize AI to create visual test cases that detect UI anomalies across different browsers and devices. 2. Predictive Analytics for Test Prioritization: AI algorithms can predict which areas of your application are most likely to be affected by the upgrade, allowing you to prioritize testing efforts effectively. Platforms such as SeaLights provide insights into code changes and their potential impact, helping focus on critical tests. 3. Self-Healing Test Scripts: AI enables test scripts to adapt to changes in the application automatically, reducing maintenance overhead. Testim offers self-healing capabilities that adjust to UI changes, ensuring tests remain robust over time. 4. Integration with CI/CD Pipelines: Incorporating AI-driven testing tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines facilitates continuous validation during the upgrade process. CircleCI integrates with AI-powered testing tools to automate test execution with each code commit, providing immediate feedback. By leveraging these AI-powered testing strategies, you can enhance the reliability and efficiency of your Drupal 11 upgrade, ensuring a seamless transition. Discussion Point: How have you integrated AI-driven testing tools into your Drupal upgrade process? Share your experiences and insights below!

Why Use AI for Upgrading to Drupal 11? Upgrading outdated modules and themes to Drupal 11 can feel overwhelming, but AI is here to simplify the process! AI-powered tools can help with: Managing dependencies and ensuring compatibility. Automating code refactoring to meet Drupal 11 standards. Running automated tests to validate upgrades. Using AI doesn’t just save time—it minimizes risks and ensures a smooth transition. Are you using AI for your Drupal 11 upgrades? Let’s discuss your experiences!

Upgrading to Drupal 11 requires more than just code changes—clear documentation and proactive risk management are essential for a smooth process. AI-powered tools offer practical solutions to simplify these tasks while ensuring reliability. AI for Documentation  1. GitBook AI: Automates structured documentation for upgraded modules and themes by analyzing code changes.  2. OpenAI Codex: Generates user-friendly explanations of complex logic in updated codebases, saving developers significant time.  3. Doxygen with AI Extensions: Automatically creates detailed technical documentation for PHP-based Drupal modules, improving clarity and consistency. AI for Predictive Analytics  1. SonarQube with AI Plugins: Identifies compatibility risks and code dependencies, providing actionable insights to mitigate potential issues.  2. SeaLights: Uses predictive analytics to assess test coverage and highlight high-risk areas, allowing teams to address problems proactively.  3. DeepCode (by Snyk): Flags deprecated methods and offers solutions, ensuring compliance and compatibility throughout the upgrade process. Why These Tools Matter  • Efficiency: Automating documentation and risk assessments saves time and reduces manual workload.  • Proactive Problem-Solving: Predictive tools catch potential issues before they escalate, minimizing disruptions during upgrades.  • Scalability: Comprehensive documentation and risk management prepare your team for future system enhancements and maintenance. By incorporating these AI-driven tools, teams can confidently handle Drupal 11 upgrades, ensuring smooth transitions, cleaner code, and a reliable foundation for future development. Have you used AI for documentation or risk assessments in your Drupal upgrades? Let’s share insights and strategies! #Drupal11 #AIinDevelopment #AutomatedUpgrades #EffortlessUpgrades #DocumentationAutomation

AI for Documentation and Predictive Analytics in Drupal 11 Upgrades Post Content: Upgrading modules and themes isn’t just about coding—it’s also about providing clear documentation and anticipating challenges. AI tools can help by: Generating updated documentation for modules and themes. Using predictive analytics to foresee potential compatibility issues during upgrades. These features simplify the process and ensure teams can maintain and build on the upgraded work. Have you used AI for generating documentation or risk assessment in Drupal 11 upgrades? Let’s discuss your experiences!

Upgrading to Drupal 11 presents a significant challenge, especially when it comes to refactoring code for compatibility. However, AI-powered tools are revolutionizing this process, making it more efficient and less error-prone. AI Tools for Automated Code Refactoring: Drupal Rector: Built on the Rector PHP framework, Drupal Rector automates the process of updating deprecated code to align with Drupal 11 standards. It scans your codebase, identifies outdated patterns, and provides automated fixes, significantly reducing manual effort.  GitHub AI-Powered Code Analysis Tools: Tools like CodePal utilize AI to analyze your codebase, detect complex issues, and recommend modern alternatives. By automating code analysis, these tools help maintain clean and compliant code, ensuring a smoother transition to Drupal 11.  CodePal Benefits of Using AI for Code Refactoring: Efficiency: AI tools can process large codebases quickly, identifying and fixing issues that would take significantly longer to address manually. Accuracy: By adhering to Drupal 11 standards, AI-driven refactoring minimizes the risk of human error, leading to more reliable code. Resource Optimization: Automating the refactoring process allows development teams to focus on higher-level tasks, optimizing resource allocation. Implementation Considerations: Integration: Ensure that the chosen AI tools integrate seamlessly with your existing development environment to facilitate a smooth workflow. Customization: Some AI tools offer customizable rulesets, allowing you to tailor the refactoring process to your project's specific needs. Testing: After refactoring, it's crucial to perform thorough testing to validate that the changes have not introduced new issues. By leveraging AI-powered tools like Drupal Rector and CodePal, developers and product owners can streamline the upgrade process to Drupal 11, ensuring that modules are updated efficiently and accurately. Have you utilized AI-driven solutions for code refactoring in your projects? What has been your experience? Let's discuss and share insights! #Drupal11 #AIinDevelopment #CodeRefactoring #EffortlessUpgrades

The AI Module in Drupal has released its Alpha 5 update. This release brings with it most of the core functionality planned for the AI module and therefore we have created a series of 3 videos showcasing the new functionality and how to use it. The first video gives you an overview of the whole release including the fantastic content tools: https://lnkd.in/e8BBvAW3 We're experimenting with a podcast style approach to videos discussing the features with tutorials including Frederik W. and Marcus Johansson. *AI CKeditor*:- Provides a AI assistant in CKEditor 5 to send a prompt , do spelling corrections, translations and more. *AI Content*:- Adds assistive tools for different areas of the content editing process. It allows you to adjust the tone of the content, summarise body text, suggest taxonomy terms for nodes, and checks content for Moderation violations. *AI Translate*:- Provides a simple one-click AI powered translations, ideal for multilingual sites. *AI Validations*:- Works with field_validations so you can use AI/LLM prompts to validate text. We should you how to set those tools up and give examples of how you might use them. We then go into a little detail on *AI Automators* and *AI Search* but a more in depth tutorial on how to use them are found in Parts 2 and 3. Will post links to these videos over the coming days. Any questions please speak to use in the Issue Queues and #ai in Drupal Slack Links to relevant resources: https://lnkd.in/ehuseCaN

AI for Automated Code Refactoring: Make Modules Drupal 11-Ready Refactoring code for Drupal 11 compatibility can be tedious, but AI tools make it easier. Examples include: Drupal Rector: Automatically fixes deprecated code, preparing modules for Drupal 11. AI-powered code analysis tools: Detect complex issues and recommend modern alternatives. By automating refactoring, you can save time and ensure clean, compliant code. Have you used tools like Drupal Rector or other AI-driven solutions for refactoring? Let’s exchange ideas!

I've asked AI what Symfony can do that Drupal can't .. and the result wasn't really accurate to me .. as Drupal is highly flexible, performant and easy to customise! So I'm asking my Symfony friends what do you think your framework can do that Drupal can't?!

Scripted content migrations are always difficult. To get them right, they require adequate planning and preparation. Here my 10-step process: 1. Agree a structure for the data. Typically, I prefer XML or JSON, but CSV also works. 2. Inspect the content, note any markup, iframes, scripts and images that may need to be adjusted. 3. Agree the content type and field mapping from the old system to the new. 4. Put together a spreadsheet detailing the content type and field mapping, I like to do a new tab per content type. Against each of the fields I also note any processing that needs to be done to transform the values before they go into the new system. 5. Verify your plan with someone who knows the content inside out - They are likely to think of something you haven’t. 6. Set up a migration with a sample of the data and check the values in the new system - Are they as expected? If they aren’t then roll the content back and iterate. 7. Expand the sample data set and repeat #6. 8. Have someone else look at the migrated content for any issues. 9. Full data migration run once everyone is happy with how the migration is running. 10. Check the content again. If you’re looking to migrate to Drupal or you’re currently on a legacy version of Drupal (Friendly reminder that Drupal 7 is EOL in Jan 2025 - 5 months away) and need to upgrade then Reading Room are here to help.

The ECA Helper module provides an action to make an arbitrary HTTP post to any URL. That's all that's necessary to post to Mastodon from Drupal, if you have a Mastodon account. I've been using this functionality to automatically post these advent...