Course overview
Advanced exploration of AI-driven techniques to analyze, optimize and maintain codebases. Covers prompt design, performance profiling with AI, AI-assisted testing and security, plus configuration-driven development, migration delegation and detecting configuration drift.
This module shows how to apply AI models to analyze production code, craft focused prompts for code review and use AI to profile runtime performance without assuming specific tools.
It presents approaches to partner with AI when building test suites, assessing coverage and adopting security-minded development workflows influenced by AI outputs.
The architecture section covers configuration-driven development, delegating configuration migrations, reviewing AI-proposed configuration architectures and detecting configuration drift with AI-based checks.
Skills and topics covered
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