AI Software Engineering

AI Software Engineering

Duration: TBD
Lessons: 22
(0.0)

Master the art of AI-assisted software development. Learn to use Copilot, Cursor, LLMs for system design, prompt engineering, AI testing, and CI/CD with autonomous agents.

Curriculum

Foundations of AI-Assisted Software Engineering

  • Introduction to AI in SDLC
  • Landscape of AI Coding Tools
  • The Modern AI-Augmented Developer Workflow

Mastering Copilot & Cursor (AI IDEs)

  • Context is King: How AI reads your workspace
  • Chat vs Inline vs Cmd+K workflows
  • Best Practices for Autocomplete and Code Generation
  • Troubleshooting and Hallucinations

Prompt Engineering for Code

  • Zero-shot vs Few-shot in Coding
  • Structuring complex technical prompts
  • Algorithmic thinking and pseudocode for AI
  • Iterative refinement and error prompting

Code Quality & Architecture with AI

  • Refactoring legacy code with Large Language Models
  • Code reviews and static analysis with AI
  • Designing Software Architectures using AI
  • Documentation generation and maintenance

Automated Testing & Debugging

  • Generating Unit and Integration Tests
  • AI-assisted Debugging and Root Cause Analysis
  • TDD (Test-Driven Development) in the AI Era

CI/CD, DevOps, & AI Agents

  • Automating pipelines with AI scripts
  • GitHub Actions and AI Integrations
  • Autonomous AI Agents in Software Engineering
  • Future of Software Engineering

Practical Exercises

  • Mastering Personalization & Context
  • Autonomous Refactoring Challenge
  • Root Cause Discovery Exercise