Boost developer productivity and code quality with AI-powered coding assistance, security insights, and DevOps troubleshooting—integrated directly into developer tools.

Developer Velocity with Amazon Q for Developer

Boost developer productivity and code quality with AI-powered coding assistance, security insights, and DevOps troubleshooting—integrated directly into developer tools.
Industry/Function: Cross-industry
Result: Drive efficiencies

Accelerate every phase of development—from planning and coding to testing and deployment—with an AI-powered assistant embedded directly in your tools. With Amazon Q for Developer, engineering teams get real-time guidance, secure code suggestions, and DevOps troubleshooting—right where they work.

The Challenge

Developers often lose productivity switching between tools, searching AWS documentation, or rewriting legacy code. Teams also struggle with keeping up with security best practices, testing requirements, and modern cloud-native standards.

Solution Overview

Amazon Q for Developer acts as an AI coding companion across IDEs, terminals, and the AWS Console. It enables developers to:

  • Write, review, and transform code faster,
  • Detect security issues and generate tests, and
  • Get architecture advice and AWS best practices in real time.

This boosts development speed, improves code quality, and reduces reliance on senior engineers for support.

Key Capabilities

  • Conversational Coding: Ask coding or cloud questions in plain language
  • IDE Companion: Inline code support in VS Code, IntelliJ, etc.
  • Security & Testing: Generate tests, identify vulnerabilities
  • DevOps Insight: Troubleshoot AWS services like EC2, EKS, Lambda
  • Code Modernization: Upgrade frameworks and remove tech debt faster

Business Benefits

  • Shorten development cycles and reduce context switching
  • Modernize legacy code with less manual effort
  • Strengthen security posture through AI-suggested fixes
  • Lower support burden with self-serve coding guidance

Use Cases

  • Refactor legacy Java or .NET to newer frameworks
  • Auto-generate unit tests and fix vulnerabilities
  • Get real-time answers on AWS architecture decisions
  • Troubleshoot failed deployments in EKS or Lambda

Customer Readiness Checklist

To start your proof of concept (POC), ensure the following:

  • Access to dev environments and repositories
  • Sample legacy code or test automation gaps
  • List of AWS services in use (e.g. Lambda, EKS)
  • Success metrics: Reduced dev time, improved code quality

Architecture, Cost Estimation, POC Timeline

Assumption: Amazon Q enabled via AWS Console and IDE plugins (VS Code, IntelliJ), connected to Git and CI/CD tools.

POC Timeline
Week 1: Environment & repo setup
Week 2: Q for Developer enablement
Week 3: Code modernization & testing scenarios
Week 4: Security scans and remediation
Week 5: Feedback loop & POC success review

 

Search use cases

AI Voice Bot for Contact Centers

Automate scripted calls and instantly responds to your customers in a human-like way with GenAI voice automation.
Industry/Function: Cross-industry
Result: Drive efficiencies

AI Chatbots & Virtual Assistants

Automate queries, improve support, cut costs with Gen AI-powered assistants.
Industry/Function: Cross-industry
Result: Generate revenue

AI Virtual Try-Ons for Retail

Boost sales and cut returns with immersive, personalized shopping experiences.
Industry/Function: Retail
Result: Improve customer satisfaction

Conversational Analytics

Extract insights from chats and calls to improve customer experience and business decisions.
Industry/Function: Cross-industry
Result: Improve quality

AI-Powered Product Recommendations

Boost sales and loyalty with real-time, personalized shopping experiences
Industry/Function: Retail
Result: Generate revenue

AI-Powered Content Creation

Generate marketing, product, and business content at scale with AWS Gen AI.
Industry/Function: Cross-industry
Result: Drive efficiencies

Intelligent Document Processing

Transform unstructured documents into structured data with AWS Gen AI for faster, smarter workflows.
Industry/Function: Cross-industry
Result: Drive efficiencies

Planogram Compliance

Automate shelf audits with AI—analyze in-store photos to verify display accuracy, reduce errors, and improve retail execution.
Industry/Function: Retail
Result: Drive efficiencies

AI Knowledge Assistant with Amazon Q for Business

Empower teams with instant, accurate answers from internal content—search, summarize, and extract insights securely across departments.
Industry/Function: Cross-industry
Result: Drive efficiencies