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LinkedIn Learning

Build with AI: Beyond Pair Programming with AI

via LinkedIn Learning

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Overview

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Use AI coding assistants to accelerate software development with rapid code generation, iterative experimentation, test-driven development, and automated refactoring.

Syllabus

Introduction
  • Pair-programming with AI
  • Prerequisites and how to use the exercise files
1. Tools, Materials, and Environments
  • Tools, materials, and environments
  • AI as a chatty collaborator
  • AI in the IDE
  • AI in the pilot seat
  • AI and rethinking what a developer is
2. Looking the AI in the Mouth
  • Where to start and how to start
  • Inline generation
  • Seeding, selecting, and expanding
  • Generating documentation
  • Documentation-Driven Development (DDD?)
  • Chatting with code
  • Code from a chat (ChatGPT)
  • Artifacts (Claude)
  • Knowledge, trust, and conservative models
3. Iteration, Experimentation, and Expansion
  • Let's build an app together!
  • Start with a prompt
  • Use AI to build the layout
  • Add an interactive map
  • Use DDD to add an AI chat
  • AI-driven code iteration
  • Hallucinations, errors, and how to address them
4. Tests and Test-Driven Development
  • AI and the renewed importance of tests
  • Writing tests with AI
  • Getting AI to set up your test environment
  • Effective TDD with modern AI tools
  • The challenges of AI-powered TDD
5. Pushing Forward with Conservative Tools
  • Understanding bias in LLMs
  • Detecting amplified old patterns
  • Coaching the AI to use modern standards
  • Documentation-driven AI assistance
  • Leveraging pattern matching to push forward
6. Conclusion
  • Upskilling is the new skill

Taught by

Morten Rand-Hendriksen

Reviews

4.8 rating at LinkedIn Learning based on 169 ratings

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