Module 7: Technical and Coding Applications - Wrap-up
Reviewing the technical power of ChatGPT, from writing code to mastering API integrations.
Module 7 Wrap-up: The Digital Architect
You've moved from natural language to the language of machines. You can now use ChatGPT to build, debug, and document entire systems.
What We Covered
- Lesson 1: High-speed coding with boilerplate and logic implementation.
- Lesson 2: Using AI as a Senior Peer Reviewer for debugging.
- Lesson 3: Automated documentation (READMEs and Docstrings).
- Lesson 4: Using the "Socratic Tutor" to master computer science theory.
- Lesson 5: Building connectors between applications using APIs.
Key Vocabulary
| Term | Definition |
|---|---|
| Boilerplate | Standardized code used in many places with little change. |
| Refactoring | Improving code structure without changing its behavior. |
| API | Application Programming Interface (Software connecting to software). |
| JSON | The standard data format for communication between apps. |
Quick Quiz
- Why is it important to paste the "Traceback" when debugging code?
- What is the benefit of using "Markdown blocks" in your prompts?
- How can ChatGPT help with "Security Audits"?
What's Next?
Code is for systems, but Data is for decisions. In Module 8: ChatGPT in Business and Data, we move back to the boardroom. You'll learn how to analyze datasets, generate executive reports, and automate customer support without writing a single line of SQL.