Amazon Web Services Launches Amazon Q for Software Development

AWS has released Amazon Q, a generative AI assistant. Amazon Q is now available for use in software development and for accessing internal company data.

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Amazon Q for Software Development

Amazon Web Services (AWS), has released Amazon Q, a generative artificial intelligence (AI) assistant. Amazon Q is now available for use in software development and for accessing internal company data.


The AI assistant, Amazon Q, is designed to produce code and also carries out testing and debugging. It has the capability for multi-step planning and reasoning, which includes tasks such as upgrading Java versions and integrating new code based on developer inputs.

Furthermore, Amazon Q aids employees in finding information within their company’s data. It connects to enterprise data repositories, allowing for the summarization of information, trend analysis, and conversations about the data. This includes areas such as company policies, product details, business performance, code databases, and employee information.

In addition to Amazon Q, AWS has introduced Amazon Q Apps. This feature enables employees to create generative AI applications using their company’s data. By describing the desired application in natural language, Q Apps can rapidly produce an app that performs the specified function, thereby simplifying and automating employees’ daily tasks.


Today, developers find that only about 30% or less of their time is dedicated to actual coding, with the remaining portion spent on various repetitive tasks such as research, learning through documentation and discussions, managing infrastructure, troubleshooting errors, and ensuring security measures. This extensive workload often hinders developers from focusing on creating unique experiences for end users and deploying projects swiftly.

In response to these challenges, Amazon introduced Amazon Q, a comprehensive tool designed to assist developers and IT professionals across a spectrum of tasks. Amazon Q utilizes advanced generative AI capabilities to provide accurate and timely coding recommendations, thereby enhancing developer productivity and innovation. Notably, Amazon Q Developer boasts high code acceptance rates, with reported figures of up to 50% acceptance rates by prominent organizations like BT Group and National Australia Bank.

A standout feature of Amazon Q is its Developer Agents, which autonomously execute various tasks including feature implementation, code documentation, refactoring, and software upgrades. These agents leverage AI to analyze existing codebases and generate step-by-step implementation plans, facilitating seamless collaboration between developers and the AI agent.


Moreover, Amazon Q streamlines the application upgrade process, automating tasks such as Java conversions and soon-to-be-released .Net conversions. By automating these processes, Amazon Q reportedly reduces the time required for application upgrades, with notable examples of upgrading over 1,000 production applications from Java 8 to Java 17 in just two days.

In addition to its coding capabilities, Amazon Q excels in security vulnerability scanning and remediation, outperforming leading tools in detecting vulnerabilities across popular programming languages. Furthermore, Amazon Q serves as an expert advisor on AWS, offering optimization suggestions, diagnosing errors, and providing guidance on architectural best practices.

The conversational interface of Amazon Q is accessible within various platforms including the AWS Console, Slack, and popular IDEs such as Visual Studio Code and JetBrains. Additionally, Amazon Q integrates with partner solutions such as Datadog and Wiz, as well as GitLab Duo, to provide developers with a unified interface across different platforms.


By harnessing Amazon Q's generative AI capabilities, developers can accelerate software development processes and focus on delivering exceptional user experiences, ultimately driving innovation within their organizations.

Organizations grapple with the challenge of managing vast amounts of data scattered across various documents, systems, and applications. Employees invest significant time in tasks such as information retrieval, analysis, report writing, and content adaptation, often hindered by disconnected tools and security concerns associated with existing generative AI solutions.

In response, Amazon introduced Q Business, a generative AI-powered assistant tailored for enterprise use. Q Business stands out for its ability to seamlessly connect with over 40 commonly used business tools, enabling comprehensive data access and analysis across organizational repositories.


Security and privacy are paramount in Q Business, which integrates seamlessly with existing identity and access management systems while allowing organizations to control sensitive topics and content filtering. Notably, Q Business outperforms competitors in correctness, truthfulness, and helpfulness across various datasets, including those from the finance and technology sectors.

Q Business revolutionizes Business Intelligence (BI) with its innovative generative BI capabilities integrated into Amazon QuickSight. Business analysts can now effortlessly build BI dashboards using natural language commands and receive AI-driven executive summaries, empowering users to derive insights swiftly and effectively communicate findings.

The feature of Q Business is the Amazon Q Apps capability, enabling employees to create generative AI-powered apps tailored to their company data without coding expertise. This empowers users to streamline tasks such as employee onboarding by quickly generating personalized plans based on existing best practices and internal data sources.


With Amazon Q Business and Q Apps, organizations can harness the power of generative AI to enhance productivity, creativity, and efficiency across departments, facilitating faster decision-making and innovation.

Partners and Customers shared their views

Netsmart is a technology provider for community-based care. “The demand for community-based care has grown exponentially, and Amazon Q Developer is helping us meet that demand by fueling our efficiency and innovation,” said Paul Snider, vice president of engineering at Netsmart. “Since using Amazon Q Developer, our team has seen a strong code suggestion acceptance rate of 35%. This has allowed our engineers to efficiently generate high-quality code and documentation, and implement new features, which can accelerate development cycles, and significantly reduce manual effort. We are excited about the impact of Amazon Q Developer on our development processes.”


Novacomp provides a diverse range of IT products and services while specializing in Quality Assurance Automation, Software Testing services, and Nearshore Outsourcing. “Modernizing applications at Novacomp has historically been a time-consuming task that is often de-prioritized against other development initiatives,” said Gerardo Arroyo, CTO of Novacomp. “Our team turned to Amazon Q Code Transformation to help upgrade a project running in Java 8 to Java 17 with over 10,000 lines of code. This is a task that would typically take an expert over two weeks to manually complete, but Amazon Q seamlessly modernized our project in a matter of minutes. Since adopting Amazon Q across our organization, we have realized a 60% decrease in average our tech debt.”

Persistent Systems is a technology services company that builds software that drives digital transformation. “Amazon Q Apps has the potential to change the way we approach generative AI," said Praveen Bhadada, head of generative AI at Persistent Systems. "We can now empower everyone on the team to quickly build and integrate applications with a no-code approach, using enterprise data sources while carefully aligning with existing identities, roles, and authorization levels.”

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