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Supercharging developer workflow with Amazon Q Developer - Vikash Agrawal
Takeaway
Amazon Q Developer covers the full SDLC — CLI + IDE slash commands plus GitHub and AWS console integration — letting one developer hand off planning, testing, docs and deploy to the agent.
Summary
- Walkthrough of Amazon Q Developer across the SDLC: planning, create, test, deploy, maintain — available in CLI, IDEs (VS Code, IntelliJ, Eclipse) and GitHub
- Built a 2048 game in Python + FastAPI + Poetry via Q CLI by trusting the plan ('T' to trust all steps), with Q moving the project to the dev folder mid-conversation
- Slash commands in the IDE: /test generates unit tests including state management, /dev for context-aware feature development, /doc generates READMEs with API examples and data-flow diagrams
- GitHub integration: install Q Developer from marketplace, attach to repos, trigger via issue label, review PRs and request changes in comments — Q also runs code scans and applies fixes
- Cloud-side: /dev generated SAM templates to deploy to Lambda; CloudWatch logs + Q's AI ops surface root cause (import error) directly in the AWS console
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Original description
Supercharging Developer Workflow with Amazon Q Developer Tired of repetitive coding tasks? What if AI could handle coding, testing, documentation, and deployment for you? In this session, we’ll build the classic 2048 game from scratch using Amazon Q Developer, demonstrating how AI can streamline the development workflow. Key highlights: ✅ /dev – AI-powered code generation ✅ /test – Automated unit test creation ✅ /doc – Instant documentation generation ✅ /review – AI-assisted code review ✅ Amazon Q Developer in CLI ✅ /dev – Deployment script generation ✅ Deploy & Debug – Seamless AWS deployment & debugging in CloudWatch By the end of this session, you’ll see firsthand how Amazon Q Developer can boost productivity, reduce boilerplate, and help you ship faster. Let’s build smarter, not harder! 🚀