Our team was losing too much time on repetitive development tasks - searching documentation, waiting for code reviews, and explaining the same business patterns over and over to new developers.
We implemented a complete AI-powered development workflow using two key components:
🔧 Amazon Q Custom Agents
We created specialized agents: one for Scala/Spark development, another for CI/CD. Pre-loaded with business rules and code patterns, they provide instant contextual assistance without needing explanations.
🔍 Automated AI Code Review
GitHub Action that automatically reviews every pull request using custom prompts tailored to our functional programming standards, providing detailed feedback before human review.
Key Insight: Generic AI isn't enough. The magic happens when you customize AI with your domain-specific knowledge, code patterns, and business rules.
Achievements:
- Faster development - instant expert assistance available 24/7
- Consistent code quality - every PR receives thorough automated review
- Better onboarding - new developers get expert guidance from day one
- More time for creative work - AI handles routine checks
- Significant reduction in code review time and feedback cycles
Tech Stack:
Amazon Q DeveloperGitHub ActionsScalaApache SparkFunctional ProgrammingCI/CDCustom AI AgentsPrompt Engineering