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📌 Quiz Topic

Lesson 1: AI Tools for Faster Coding

• Key Topics:

  1. Quick overview of popular code assistants (Copilot, CodeWhisperer, Tabnine, Cursor, V0).

  2. Practical examples of how to invoke suggestions in different IDEs (VS Code, IntelliJ, etc.).

  3. Local vs. SaaS integration: pros and cons (speed, configuration, cost).

  4. A peek at Meticulous and similar tools for basic automated testing without leaving your coding flow.

Lesson 2: Documentation-First and Vibe Coding (for Flow)

• Key Topics:

  1. Documentation-First:

     • Generating the structure or specification of a feature (endpoints, classes, functions) before coding.

     • How having a prior outline helps the AI produce more accurate suggestions.

  2. Vibe Coding:

     • A more fluid, co-creative development style with AI, where you don’t have rigid specs but iterate rapidly.

     • Real-world examples: quick prototypes of microservices or functions in an “exploratory” mode.

Lesson 3: Key Considerations—Security, Costs, and Ethics

• Key Topics:

  1. Security & Confidentiality:

     • Keeping assistants from exposing credentials or sensitive data.

     • Privacy and repository setup for production environments.

  2. Costs & Business Models:

     • Subscriptions vs. pay-per-use (tokens) vs. self-hosted solutions.

     • Impact on large teams vs. personal projects.

  3. Ethics & Licensing:

     • Risks of inadvertently copying licensed code.

     • Internal review policies: always scanning AI output to avoid plagiarism.

This module is the central focus of the course and provides a deep dive into:

• The most powerful code assistant tools (Copilot, CodeWhisperer, Tabnine, Cursor, V0, Windsurf).

• Prompt engineering techniques to refine AI-generated code (tests, refactoring, documentation).

• Two contrasting but complementary methodologies: documentation-first and vibe coding.

• Evaluating code assistants using benchmarks and metrics