AWS DevOps & Developer Productivity Blog

Tag: AI/ML

HAQM introduces SWE-PolyBench, a multilingual benchmark for AI Coding Agents

Coding agents powered by large language models have shown impressive capabilities in software engineering tasks, but evaluating their performance across diverse programming languages and real-world scenarios remains challenging. This led to a recent explosion in benchmark creation to assess the coding effectiveness of said systems in controlled environments. In particular, SWE-Bench which measures the performance […]

Leverage powerful generative-AI capabilities for Java development in the Eclipse IDE public preview

Today marks an exciting milestone for Eclipse developers everywhere: we’re thrilled to announce the public preview of HAQM Q Developer in the Eclipse IDE. This integration brings the power of AI-driven development directly into one of the most popular development environments. In this blog post, we’ll explore some of its game-changing features, and show you […]

Analyzing your AWS Cost Explorer data with HAQM Q Developer: Now Generally Available

We are excited to announce the general availability of the cost analysis capability in HAQM Q Developer. This powerful feature integrates Q Developer’s natural language processing capabilities with AWS Cost Explorer, revolutionizing how you analyze and understand your AWS costs. Initially launched in preview on April 30, 2024, the HAQM Q cost analysis capability now offers enhanced […]

Expanded resource awareness in HAQM Q Developer

Expanded resource awareness in HAQM Q Developer

Recently, HAQM Q Developer announced expanded support for account resource awareness with HAQM Q in the AWS Management Console  and the AWS Mobile Application. This is coupled with the general availability of HAQM Q Developer in AWS Chatbot, enabling you to ask questions from Microsoft Teams or Slack. Additionally, HAQM Q will now provide context-aware assistance for […]

Introducing the next-level of AI-powered workflows with HAQM Q Developer inline chat

Earlier today, HAQM Q Developer announced support for inline chat. Inline chat combines the benefits of in-IDE chat with the ability to directly update code, allowing developers to describe issues or ideas directly in the code editor, and receive AI-generated responses that are seamlessly integrated into their codebase. In this post, I will introduce the […]

Directing ML-powered Operational Insights from HAQM DevOps Guru to your Datadog event stream

HAQM DevOps Guru is a fully managed AIOps service that uses machine learning (ML) to quickly identify when applications are behaving outside of their normal operating patterns and generates insights from its findings. These insights generated by DevOps Guru can be used to alert on-call teams to react to anomalies for business mission critical workloads. […]

DevSecOps with HAQM CodeGuru Reviewer CLI and Bitbucket Pipelines

DevSecOps refers to a set of best practices that integrate security controls into the continuous integration and delivery (CI/CD) workflow. One of the first controls is Static Application Security Testing (SAST). SAST tools run on every code change and search for potential security vulnerabilities before the code is executed for the first time. Catching security […]

10 ways to build applications faster with HAQM CodeWhisperer

HAQM CodeWhisperer is a powerful generative AI tool that gives me coding superpowers. Ever since I have incorporated CodeWhisperer into my workflow, I have become faster, smarter, and even more delighted when building applications. However, learning to use any generative AI tool effectively requires a beginner’s mindset and a willingness to embrace new ways of […]

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Automating detection of security vulnerabilities and bugs in CI/CD pipelines using HAQM CodeGuru Reviewer CLI

Watts S. Humphrey, the father of Software Quality, had famously quipped, “Every business is a software business”. Software is indeed integral to any industry. The engineers who create software are also responsible for making sure that the underlying code adheres to industry and organizational standards, are performant, and are absolved of any security vulnerabilities that […]