AWS DevOps & Developer Productivity Blog
Category: Amazon Q Developer
Take control of your code with Amazon Q Developer’s new context features
In this blog post, I dive into the powerful new features of Amazon Q Developer that empower developers to take full control of their development workflow. These features, currently available in Visual Studio Code, allow you to leverage workspace context, explicit context, prompt libraries, and project rules to streamline your software projects, maintain coding standards, […]
A lightning fast, new agentic coding experience within the Amazon Q Developer CLI
Earlier today, Amazon Q Developer announced an enhanced CLI agent within the Amazon Q command line interface (CLI). With this announcement, Q Developer brings the latest agentic experience to the CLI that provide a more dynamic, interactive coding experience that works with you, and iteratively makes changes based on your feedback. Amazon Q Developer can […]
AWS Chatbot is now named Amazon Q Developer
Today, we’re excited to announce that AWS Chatbot has been renamed to Amazon Q Developer, representing an enhancement to developer productivity through generative AI-powered capabilities. This update represents more than a name change – it’s an enhancement of our chat-based DevOps capabilities. By combining AWS Chatbot’s proven functionality with Amazon Q’s generative AI capabilities, we’re […]
AWS CloudFormation: 2024 Year in Review
AWS CloudFormation: 2024 Year in Review AWS CloudFormation enables you to model and provision your cloud application infrastructure as code-base templates. Whether you prefer writing templates directly in JSON or YAML, or using programming languages like Python, Java, and TypeScript with the AWS Cloud Development Kit (CDK), CloudFormation and CDK provide the flexibility you need. […]
Streamline Development with New Amazon Q Developer Agents
As software development continues to evolve at a rapid pace, developers are constantly seeking tools that can streamline their workflow, improve code quality, and boost productivity. Amazon Web Services (AWS) has answered this call with the introduction of powerful new AI agents for Amazon Q Developer. AI-powered agents transform the way developers approach documentation, unit […]
Learning AWS best practices from Amazon Q in the Console
Operators, administrators, developers, and many other personas leveraging AWS come across multiple use cases and common issues such as lack of permissions, bugs in code in AWS Lambda, and more when leveraging the AWS console. To help alleviate this burden when using the console, AWS released Amazon Q to assist with users accessing the console […]
Effortlessly execute AWS CLI commands using natural language with Amazon Q Developer
The CLI struggle is real Command-line tools are meant to simplify infrastructure and DevOps workflows, but the reality is often the opposite. Instead of speeding things up, the vast array of commands, flags, and syntax turns the CLI into a puzzle. Tools meant to enhance productivity have developers endlessly tab-switching between searches, forums, and docs […]
Unlocking AWS Console: Diagnosing Errors with Amazon Q Developer
Introduction Developers, IT Operators, and in some cases, Site Reliability Engineers (SREs) are responsible for deploying and operating infrastructure and applications, as well as responding to and resolving incidents effectively and in a timely manner. Effective incident management requires quick diagnosis, root cause analysis, and implementation of corrective actions. Diagnosing the root cause can be […]
Analyzing your AWS Cost Explorer data with Amazon Q Developer: Now Generally Available
We are excited to announce the general availability of the cost analysis capability in Amazon 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 Amazon Q cost analysis capability now offers enhanced […]
How SmugMug Increased Data Modeling Productivity with Amazon Q Developer
This post is co-written with Dr. Geoff Ryder, Manager, at SmugMug. Introduction SmugMug operates two very large online photo platforms: SmugMug and Flickr. These platforms enable more than 100 million customers to safely store, search, share, and sell tens of billions of photos every day. However, the data science and engineering team at SmugMug and […]