April 2025: A month of innovation for Amazon Q Developer

As April 2025 comes to a close, I’m amazed by the innovations that Amazon Q Developer has launched in the past few weeks. Generative AI is evolving fast, enabling developer experiences that were just not possible a few months ago. Each new launch helps make Q Developer the most capable generative AI–powered assistant for software development. Let’s explore the announcements from April.

C# and C++ customization – April 1

Amazon Q Developer expanded its customization capabilities to include C# and C++ support, enabling developers to tailor AI suggestions based on their company’s proprietary codebase. This enhancement allows for more accurate inline suggestions and contextual code understanding across C# and C++ projects, while maintaining support for existing languages like Python, Java, JavaScript, and TypeScript. You can read more in Customizing C# and C++ with Amazon Q Developer

Amazon’s internal journey with Q Developer – April 2

In 2024, Amazon integrated its internal knowledge repository of millions of documents into Amazon Q Business, resulting in over 450,000 hours saved in technical query time. Using AI for software transformations integrated with internal development tools saved 4,500 developer years of effort and more than $260M. Perhaps most importantly, the technology is changing how developers approach problem-solving itself, enabling more creative and experimental development practices. You can read more in How generative AI is transforming developer workflows at Amazon.

Conversation persistence, search, and export – April 3rd

Amazon Q Developer now gives you more control over your conversation history. Your conversation is preserved between sessions, letting you pick up where you left off. In addition, you can search the conversation history and export the conversation as markdown. Conversation history features are now available in VS Code and will be added to other IDEs soon.

Context control enhancements – April 3rd

Back in March, I wrote a post about taking control of your code with Amazon Q Developer’s new context features. This allowed you to specify files and folders to add to the context. You can now include classes, functions, and global variables into the input context. In addition, the context size was increased to 100k characters in chat. These features are now available in VS Code and will be added to other IDEs soon.

Expanded language support – April 9

Amazon Q Developer now supports multiple languages across its IDE and CLI interfaces, enabling developers to discuss architecture, create documentation, and build applications in your preferred language. This enhancement creates a more inclusive and accessible development environment. You can read more in Speaking Your Language: Expanded language support in Amazon Q Developer.

Eclipse inline chat (preview) – April 10

The new inline chat feature in Eclipse allows developers to edit code in place using natural language commands. This powerful capability streamlines tasks like refactoring, optimization, and code maintenance without breaking development flow. You can read more in Announcing inline chat in Eclipse with Amazon Q Developer.

European region launch – April 14

Amazon Q Developer Pro Tier is now available in the Frankfurt (eu-central-1) region, addressing data residency requirements for European customers while improving performance through reduced latency. The launch includes cross-region inferencing optimization across Frankfurt, Ireland, Paris and Stockholm. You can read more in Announcing the European region for Amazon Q Developer.

GitLab Duo with Amazon Q (GA) – April 17

GitLab Duo with Amazon Q brings Amazon Q’s generative AI capabilities directly into GitLab’s DevSecOps platform and is now generally available. This integration enables AI-assisted development throughout your entire workflow—from idea conception to deployment—all within the familiar GitLab environment. You can read more in Announcing General Availability of GitLab Duo with Amazon Q.

Updated software development agent – April 21

Amazon Q Developer updated the software development agent. This new agent achieves state-of-the-art performance on industry benchmark SWTBench Verified (49%) and sits among the top ranking models on SWEBench Verified (66%). The agent has access to tools for planning and reasoning that use the capacity of advanced models to their fullest. You can read more in Amazon Q Developer releases state of the art agent for feature development

Amazon introduces SWE-PolyBench – April 23

Amazon has introduced SWE-PolyBench, a new industry benchmark to evaluate the performance of AI coding agents across multiple programming languages and real-world coding scenarios. Unlike previous benchmarks that focused mainly on Python and bug fixes, SWE-PolyBench contains over 2,000 curated coding tasks spanning Java, JavaScript, TypeScript, and Python, covering a variety of challenges including feature requests and refactoring. You can read more in Amazon introduces SWE-PolyBench, a multilingual benchmark for AI Coding Agents

Model context protocol support – April 30

The addition of model context protocol (MCP) support in the Amazon Q Developer CLI standardizes how applications provide context to Large Language Models, allowing developers to seamlessly integrate additional tools and data sources into their AI-assisted workflow. You can read more in Extend the Amazon Q Developer CLI with Model Context Protocol (MCP) for Richer Context.

Expanded support in customization – April 30

Less that one month after adding support for C# and C++, the Q Developer customizations team was hard at work adding support for: Dart, Go, Kotlin, PHP, Ruby, Rust, Scala, Bash, PowerShell, CloudFormation, and Terraform. This is, of course, in addition to the existing supported languages: Python, Java, JavaScript, TypeScript, Markdown, reStructuredText, and Text. Wow!

Conclusion

April 2025 has been a transformative month for Amazon Q Developer, with launches spanning global expansion, IDE enhancements, and deeper integrations. From bringing the service to European customers to enabling multilingual support and introducing powerful new capabilities like inline chat in Eclipse and GitLab integration, Amazon Q Developer significantly expanded how developers can leverage AI assistance in their daily workflows. These launches reflect a commitment to making AI-assisted development more accessible, powerful, and integrated into existing tools and processes. I encourage you to try these new features and share your feedback as we continue to enhance Amazon Q Developer.