Productivity Conf for Devs and Tech Leaders

Supercharging Your Developer Workflow with Amazon Q Developer

In this talk, we'll to cover key features of Amazon Q Developer and demonstrate how it can enhance a developer’s workflow. The session will include live demos of:

/dev
@workspace
Code Scan
@git and @history from Q-Cli

We’ll also showcase real-world customer case studies to highlight the practical applications of these features.

This talk has been presented at Productivity Conf for Devs and Tech Leaders, check out the latest edition of this Tech Conference.

FAQ

Amazon Q Developer is an AI-powered conversational assistant that helps automate tasks across the software development lifecycle (SDLC).

Amazon Q Developer can autonomously take in requirements, analyze the code base, and develop features based on prompts in the IDE using its /dev agent.

Yes, using the /test agent, Amazon Q Developer can automatically generate unit tests by analyzing the code and handling various test cases and boundary conditions.

Amazon Q Developer can autonomously generate documentation by analyzing the entire codebase, summarizing source files, and creating README files with project structure, installation steps, and data flow diagrams.

Amazon Q Developer supports deploying applications using AWS services like S3, CloudFront, Lambda, and API Gateway, often using the serverless application model (SAM).

Amazon Q Developer can assist in debugging by integrating with Amazon CloudWatch to analyze logs, provide insights, and suggest hypotheses for resolving issues.

The /review agent is used to perform code reviews, identifying issues such as security vulnerabilities and suggesting improvements.

Amazon Q Developer streamlines software development by automating tasks such as feature development, testing, code reviews, and documentation, reducing manual effort and time.

Yes, Amazon Q Developer can generate deployment scripts for AWS services, facilitating the deployment process of applications to the cloud.

Amazon Q Developer can autonomously review code to identify security vulnerabilities and other issues, assisting developers in maintaining code quality.

productivity case study

Vikash Agrawal

Abeetha Bala

26 min

27 Mar, 2025

Comments

Video Summary and Transcription

Today's Talk introduces Amazon Q Developer, an AI-powered conversational assistant that assists with software development lifecycle (SDLC) tasks. The speaker demonstrates building a 2048 game using Q Developer, which automatically detects the codebase and implements logic for the front end. The agent also generates tests for the code and helps identify bugs. Q Developer can generate documentation by analyzing the code and facilitate code reviews to find security vulnerabilities. The session covers error handling, deployment using AWS SAM, and debugging with Q Developer and CloudWatch. The speaker plans to deploy the application on EC2 in the future.

Video transcription and chapters available for users with access.

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