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 Duration 14 hours

Course Outline

Code Analysis with LLMs

  • Strategies for prompting code explanations and walkthroughs
  • Navigating unfamiliar codebases and projects
  • Analyzing control flow, dependencies, and architectural design

Refactoring for Maintainability

  • Identifying code smells, dead code, and anti-patterns
  • Restructuring functions and modules for enhanced clarity
  • Leveraging LLMs for naming conventions and design optimization suggestions

Enhancing Performance and Reliability

  • Using AI assistance to detect inefficiencies and security risks
  • Suggesting more efficient algorithms or library choices
  • Refactoring I/O operations, database queries, and API interactions

Automating Documentation

  • Generating function and method-level comments and summaries
  • Drafting and updating README files based on codebases
  • Generating Swagger/OpenAPI documentation with LLM support

Toolchain Integration

  • Utilizing VS Code extensions and Copilot Labs for documentation
  • Incorporating GPT or Claude into Git pre-commit hooks
  • Integrating LLMs into CI pipelines for documentation and linting

Managing Legacy and Multi-Language Codebases

  • Reverse-engineering older or undocumented systems
  • Cross-language refactoring (e.g., migrating from Python to TypeScript)
  • Case studies and pair-AI programming demonstrations

Ethics, Quality Assurance, and Review

  • Validating AI-generated changes and mitigating hallucinations
  • Best practices for peer review when utilizing LLMs
  • Safeguarding reproducibility and adherence to coding standards

Summary and Next Steps

Requirements

  • Proficiency in programming languages such as Python, Java, or JavaScript
  • Working knowledge of software architecture and code review methodologies
  • Fundamental understanding of large language model mechanics

Audience

  • Backend engineers
  • DevOps teams
  • Senior developers and tech leads

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