Code-Writing Agents
Create agents that write, debug, and optimize code autonomously
Your Progress
0 / 5 completed10 Essential Insights
🎉
Module Complete!
You've mastered coding agents - from theory to production implementation
What You've Learned:
- ✓How coding agents achieve 10-20x productivity gains on routine tasks
- ✓Four core capabilities: generation, debugging, refactoring, and testing
- ✓Safety requirements: automated testing, human review, sandboxing, and rollback
- ✓Production-ready architecture with orchestrator, analyzer, generator, and CI/CD
- ✓Deployment strategy from 100% review to 50% autonomous operation
Your Next Steps
🚀Immediate Actions (This Week)
- 1.Set up GitHub Copilot or Cursor - experience coding agents firsthand
- 2.Try agent-generated test cases for your current project
- 3.Build a simple code analysis tool using LLM APIs
📚Short-term Goals (This Month)
- 1.Implement automated test generation for one codebase
- 2.Create custom system prompts for your team's coding standards
- 3.Measure productivity gains: track time saved on routine tasks
🎯Long-term Vision (Next Quarter)
- 1.Deploy agent that handles 25%+ of GitHub issues autonomously
- 2.Build CI/CD pipeline with automated agent review and testing
- 3.Share results: write about your team's agent-assisted workflow