Effective Programming with AI

Building the 'shape-printer' project with Copilot, you'll gain insight into the core essentials of code design.

Just one request – and voilà! You'll experience how AI quickly brings your ideas to life in code. You will understand the fundamentals of creating maintainable and extensible designs.

Shape Definition: Now Tailored to Your Needs! From lambdas, regular functions, and functors, all the way to class inheritance! We will explore various methods for defining and printing shapes.

AI is your assistant – the key to your growth is YOU! Use AI tools to learn and understand diverse coding approaches, upgrading your programming capabilities step-by-step.

Solving the inconvenience! Follow the process to see how the hassle of repeatedly passing the insideShape function is resolved using the PrintShape functor.

AI isn't perfect! Understand that AI might not always provide optimal code, and critically review AI's suggestions for initializing member variables inside the constructor.

Output Method: Your Way! Easily change the output destination using the setOutput function, and customize printing characters with the setCharacters function. Now you can output shapes to files or strings as well.

AI can make mistakes too?! When implementing output extension features, AI might generate potentially problematic code that attempts to copy std::ostream objects!

The Output Interface is Born! We define a standard interface encompassing various output methods and implement it as a concrete class named StreamOut.

AI Sometimes Struggles! AI doesn't always give the optimal answer. You need to build the skill to spot what AI misses and guide it in the right direction as a developer.

A Surprising Twist! Conversely, you will also experience moments where AI accurately catches errors that even a developer might easily miss and generates the correct code.

Design That Lasts, Through Documentation! We'll analyze and discuss with AI why specific designs were chosen and the reasoning behind them, learning how to write clear and easily understandable design documents (ADR, Architectural Decision Records).

Just how capable is AI's analytical power? How does AI analyze our design proposals and what feedback does it offer? We will closely examine AI's analytical capabilities, identifying what AI misses and what new insights it can uncover.

Clear Separation of Declaration and Implementation! Distinguish the roles and responsibilities of your code by separating it into header (.h) and source (.cpp) files.

Prevent Name Conflicts! Leverage Namespaces! Neatly resolve potential name collision problems that can occur in complex projects using namespaces.

Final Design Completion! Building a Robust Foundation! Finalize the clean and systematic module structure for the 'shape-printer' project.

Thorough Module Testing! A well-designed module structure allows us to meticulously test each function in isolation.

AI isn't perfect! Test Case Error Encountered! AI generated a test case to verify basic output characters, but because the developer failed to provide clear relevant code, a faulty test case is created!

Mastering AI Use: The Developer's Responsibility! This case will help you understand how AI operates and realize just how crucial it is to provide AI with accurate, necessary information. The ability to utilize AI intelligently is truly a core skill for a super developer!

AI Coding: Smooth and Smart! Witness how AI accurately understands our established design structure (header/source separation, namespaces, etc.) and excellently suggests the code required for BMP file generation. You'll be impressed by AI collaborating like a skilled team member!

AI Code is Reference, Not Gospel! Blind Trust is Forbidden! You'll see once more that AI isn't perfect. The code it generates fails to produce a complete BMP file.

1-bit vs. 24-bit vs. 32-bit: The Developer's Choice! The shape can be output to any BMP file format. But which one is the best?

AI is a great helper, but final judgment and responsibility are always yours as the developer! Grow with AI and create top-notch results!

Image is the Shape! AI swiftly implements the Image class and BMP class, allowing shapes to be defined from images.

Spotting AI's Gaps! Size Calculation Error! But AI isn't infallible! It makes an error calculating the size needed for image output. While AI generated code for 24-bit BMP files, it didn't correctly account for data alignment padding. This process highlights the critical importance of the developer's role in accurately identifying and fixing what AI overlooks.

Discover how to revolutionarily boost your coding productivity by utilizing GitHub's powerful collaboration feature, Copilot Edits!

Just Write the First Draft! AI Will Craft High-Quality Documents for You! Simply provide the basic content for the code or document you need, and request AI for improvements. You'll receive significantly more polished and refined output.

Embark on two fascinating experiments completing the designed 'shape-printer' project alongside AI!

Experiment 1: Natural Language Design → AI Automatic Coding! We'll give AI Copilot the detailed design content we explained in natural language as a prompt and request it to generate the project! Just how accurately can AI grasp our intent and create a perfect result? You will once again be amazed by AI's incredible capabilities!

Experiment 2: Header File Design → AI High-Speed Coding! This time, we'll clearly define the design content in header files and complete the project by collaborating in real-time with AI Copilot! See for yourself how quickly and efficiently the final result can be produced by leveraging AI's code auto-completion and suggestion features!

AI: Now a Coding Expert! Amazingly, AI implements our complex design content almost perfectly! Through this experience, you will realize that we no longer need to be tied to simple coding tasks and that the era has arrived where we must focus on more creative and core 'design'.

Let's uncover the design secrets hidden within the 'shape-printer' project that we've been building with AI!

Software Design: Build it Robustly! Moving beyond simple coding, we will explain the SOLID principles, which are essential for creating robust software that is easy to maintain and flexible in the face of change.

We'll explain with concrete examples how each SOLID principle was incorporated into the 'shape-printer' project's design and enhanced the code's extensibility and maintainability. You'll clearly understand why the code we built with AI exhibits good design!

The Final Stretch! We'll delve deep into the path forward for developers in the AI era.

Utilizing AI: The Unavoidable Future! Recalling the challenges of using AI mentioned in Lecture 1... there is no longer time to hesitate. Will you abandon AI and be left behind?

Will you become AI's puppet? Or will you critically review AI's code, build your skills, and become a smart developer who masters AI utilization?

Your Compass for the Future! This final lecture will clearly lay out what it means to be a developer in the AI era and the path you should forge ahead on. We are confident that through this course, you will grow into a super developer who doesn't fear collaborating with AI but actively pioneers the future!