GitHub Copilot Just Changed the Game
TLDRThe video discusses the impact of AI tools on software development, highlighting the integration of GitHub Copilot and Chat GPT into the development workflow. The speaker shares their experience using GitHub Copilot Chat, a feature within VS Code that combines the capabilities of Chat GPT, making it easier to generate code, complete tasks, and even create unit tests. The video also introduces Tai Chi, an open-source Python application builder for web applications. The speaker suggests that further integration of AI tools with IDEs, such as automating project setup and file interactions, could significantly enhance productivity. The video concludes by inviting viewers to share their thoughts on desired features for AI tools and to check out additional resources on software architecture.
Takeaways
- 🤖 **AI Tools Overload**: There's a new AI tool emerging every day, making it challenging to keep track of them all.
- 🔍 **GitHub Copilot & Chat GPT**: The speaker primarily uses GitHub Copilot and Chat GPT, which complement each other well in their development workflow.
- 📚 **GitHub Copilot Chat**: A new feature that integrates Chat GPT into VS Code, offering a seamless development experience.
- 🚀 **Game Changer Feature**: The suggestion that if GitHub Copilot added certain features, it could significantly change the game for developers.
- 🛠️ **Tai Chi - Python Web Application Builder**: An open-source, Python-based tool that simplifies the creation of web applications.
- 📝 **Auto Completions**: GitHub Copilot offers auto completions for code, which can be activated or deactivated as needed.
- ✅ **Unit Tests Generation**: Copilot can automatically generate unit tests, aiding in the creation of test-driven development.
- 🧠 **Chat GPT as a Sparring Partner**: Used for discussing architectural questions and conceptual clarity before jumping into code.
- 📈 **Contextual Awareness**: GitHub Copilot Chat is aware of the current context in the editor, which aids in providing relevant suggestions.
- 🔗 **IDE Integration**: There's potential for deeper integration with the IDE, such as interacting with files or folders, which could be a future game-changing feature.
- ⌛ **Rapid Development**: The tools are rapidly evolving, promising even more capabilities and improvements in the near future.
Q & A
How does the speaker describe the current state of AI tools in the market?
-The speaker describes the current state of AI tools as overwhelming, with a new tool being released almost every day, making it difficult to keep track of them all.
Which AI tools does the speaker mention using for transcriptions?
-The speaker mentions using Notion AI, Jasper, and Otter for transcriptions.
What is the speaker's preferred development tool combination?
-The speaker prefers using GitHub Copilot and Chat GPT, comparing their integration to a sandwich and cheese bots that fit together well.
How does the speaker describe the integration of GitHub Copilot Chat into VS Code?
-The speaker describes the integration as a 'molten cheese sandwich' that is inseparable, indicating a high level of integration and satisfaction with the tool.
What is the main feature that the speaker wishes to be added to the AI tools to make them a game changer?
-The speaker wishes for the AI tools to have the ability to interact with the Integrated Development Environment (IDE) more deeply, such as making modifications to projects, file structures, and directories directly within the IDE.
How does the speaker describe the process of installing GitHub Copilot in VS Code?
-The speaker describes the process as straightforward: one needs to go to the extensions tab in VS Code, search for the GitHub Copilot extension in the marketplace, and click install.
What is the role of Taichi in the context of the video?
-Taichi is presented as an application builder that simplifies the process of building web applications using Python. It is open source and can be used for free.
How does the speaker use GitHub Copilot for unit tests?
-The speaker uses GitHub Copilot to automatically generate unit tests. However, they also mention that sometimes the generated tests need to be modified to ensure they are effective and do not contain too many asserts.
What is the main advantage of using GitHub Copilot for code writing?
-The main advantage is the time-saving aspect of auto-completion of code. It allows the speaker to work faster by providing suggestions for method implementations, class definitions, and imports.
How does the speaker use Chat GPT in comparison to GitHub Copilot?
-The speaker uses Chat GPT more for conceptual discussions and architectural questions, whereas GitHub Copilot is used for actual code auto-completion.
What is the potential future feature that the speaker is excited about for GitHub Copilot Chat?
-The speaker is excited about the potential feature that would allow GitHub Copilot Chat to interact with the IDE and perform tasks like creating projects, modifying file structures, and directories automatically.
Outlines
🤖 Overwhelmed by AI Tools and Finding the Right Balance
The speaker expresses a sense of being overwhelmed by the plethora of AI tools available, with new ones emerging constantly. They discuss their personal strategy to avoid being overloaded by using a limited set of tools, namely GitHub Copilot and Chat GPT, which they find to complement each other well. The introduction of GitHub Copilot Chat, integrated into VS Code, is highlighted as a significant addition to their workflow. The speaker also briefly mentions the use of TypeID, a Python-based application builder for web applications, and its ease of use.
🧀 The Seamless Integration of GitHub Copilot Chat
The speaker elaborates on their experience with GitHub Copilot Chat, comparing it to a 'molten cheese sandwich' due to its seamless integration with their development workflow. They demonstrate how the tool assists in software development by providing auto-completions, navigating through suggestions, and generating code snippets. The paragraph also covers the process of installing GitHub Copilot and customizing its settings to enable or disable auto-completions based on the file type or globally.
📚 Utilizing GitHub Copilot for Code Efficiency
The speaker details how GitHub Copilot aids in their coding process by automatically adding type annotations, defining basic classes, writing simple functions, completing imports, and even generating unit tests. They also discuss the use of keyboard shortcuts to navigate through auto-completion suggestions and the ability to hover over suggestions for more information. The speaker emphasizes the time-saving benefits of using GitHub Copilot and how it facilitates faster coding.
💡 Enhancing Development with Chat GPT and Future Integrations
The speaker contrasts GitHub Copilot's auto-completion capabilities with Chat GPT's role as a 'sparring partner' for discussing architectural questions and conceptual clarity. They introduce the concept of 'Kupala Chart,' an extension that brings chat-based AI assistance directly into the code editor. The speaker explores the potential for the tool to understand the current context of the open editor and provide relevant suggestions or perform actions. They also express a desire for future enhancements, such as the ability for the tool to interact with the IDE to automate project setup and file modifications.
🔍 Reflecting on AI Tool Usage and Engaging with the Audience
The speaker reflects on the capabilities of chat models like Chat GPT and GitHub Copilot Chat, and how they can be utilized effectively. They express excitement about the rapid development of these tools and invite the audience to share their thoughts on desired features for future updates. The speaker concludes by encouraging viewers to like the video to help it reach a wider audience and suggests a follow-up video with tips for writing effective prompts for AI chat models.
Mindmap
Keywords
💡AI tools
💡GitHub Copilot
💡Chat GPT
💡VS Code
💡TypeScript
💡Auto-completions
💡Tai Chi
💡Unit tests
💡Data classes
💡Copilot Chat
💡Software Architecture
Highlights
The author feels overwhelmed by the influx of AI tools, making it challenging to keep track of new developments.
GitHub Copilot and Chat GPT are mentioned as the primary AI tools used by the author, complementing each other well in their development workflow.
GitHub Copilot Chat, integrated into VS Code, is likened to a 'molten cheese sandwich' due to its seamless integration.
The author envisions a feature that would significantly enhance GitHub Copilot's utility, though it is not yet available.
Tai Chi is introduced as an Application Builder that simplifies web application development using pure Python.
The author demonstrates how to quickly build a web application using Tai Chi with just a few lines of Python code.
GitHub Copilot's installation process in VS Code is outlined, including the use of the Extensions tab.
The author discusses the ability to toggle GitHub Copilot's autocompletion feature on and off globally or for specific file types.
GitHub Copilot's autocompletion feature is shown to propose code suggestions as the user types, with the option to accept or reject them.
The author describes how to navigate through different autocompletion options using keyboard shortcuts.
GitHub Copilot is used for adding type annotations, defining basic classes, and writing simple functions or methods.
The tool can automatically generate unit tests for the user's code, although manual adjustments may be necessary.
Chat GPT serves as a sparring partner for the author, helping with architectural questions and conceptual clarity.
GitHub Copilot Chat is a separate extension that allows for a chat interface within the code editor for more interactive queries.
The chat window in GitHub Copilot Chat is aware of the current context and can provide relevant suggestions based on the open file.
The author suggests a potential game-changing feature where GitHub Copilot Chat could interact directly with the IDE to automate project setup and modifications.
The author expresses excitement about the rapid development and future capabilities of AI tools like GitHub Copilot and Copilot Chat.