AI coding assistants just leveled up, again…

Fireship
14 Dec 202304:51

TLDRThe video script discusses the rapid advancements in AI programming tools, such as GitHub Copilot, Google's Duet AI, and Jetbrains AI, which are increasingly integrating with IDEs and cloud services to assist developers. It highlights the shift from GPT-3.5 to GPT-4, the introduction of chatbots, and the potential for AI to transform coding practices. Despite the concerns about the future of programming jobs, the video encourages optimism, suggesting that programmers will adapt and remain crucial in innovation and problem-solving.

Takeaways

  • 😱 The founder of Stability AI predicts that programmers might become obsolete within 5 years due to the rapid advancement of AI in coding.
  • 📈 In just 2 years, AI code assistance has grown significantly, with 41% of all code on GitHub being AI-generated.
  • 🚀 Google's Duet AI has been launched and is currently free to use, offering an AI chatbot integrated into IDEs for coding assistance.
  • 🌐 Duet AI's standout feature is its integration with Google Cloud, allowing direct management of cloud resources from the IDE.
  • 🔧 Google is also working on a cloud-based IDE called Project Index, which is integrated with AI and includes emulators for iOS and Android.
  • 💡 Jet Brains has announced a new AI tool that could potentially compete with GitHub Copilot, offering a more natural and integrated experience.
  • 💰 Jet Brains' tool, powered by their AI service, allows for the use of multiple models for a personalized coding experience, but costs $10 per month.
  • 🎯 GitHub Copilot has upgraded to use GPT-4, including a dedicated chat window and workspace command for context-aware code writing.
  • 🔍 Copilot now searches billions of files on GitHub to ensure the use of licensed code, reducing the risk of copyright infringement.
  • 🤖 The future of AI in coding might involve AI tools running code, creating new files, and conducting unit tests based on client requirements, further streamlining the development process.
  • 🌟 Despite the advancements, the video encourages programmers to stay optimistic as the role of engineers will continue to evolve and remain essential in pushing technological boundaries.

Q & A

  • What prediction did the founder of Stability AI make about the future of programming?

    -The founder of Stability AI predicted that there would be no programmers in 5 years due to the advancements in AI programming assistance tools.

  • How has AI code assistance evolved in the past 2 years according to the script?

    -Two years ago, AI code assistance was not commonly used. However, since the launch of GitHub Copilot beta, 41% of all code on GitHub is now AI-generated.

  • What is Google's Duet AI and how does it differ from GitHub Copilot?

    -Google's Duet AI is an AI chatbot integrated into IDEs that provides suggestions and intellisense, similar to GitHub Copilot. It is initially free but will become a paid service at $19 per month after the first year. Its unique feature is the integration with Google Cloud, allowing direct management of cloud resources from the IDE.

  • What is Project Index and how does it relate to Duet AI?

    -Project Index is Google's own cloud-based IDE based on VSS Code. It is integrated with Duet AI and includes features like iOS and Android emulators running on a cloud VM, eliminating the need to download and configure SDKs locally.

  • How does Jetbrains' AI service differ from other AI programming tools?

    -Jetbrains' AI service allows the chatbot to be powered by multiple different models, not just a single AI like GPT 4 or Gemini. This means it could potentially use a custom fine-tuned model tailored to a company's coding conventions for more predictable responses.

  • What improvements has GitHub Copilot made according to the script?

    -GitHub Copilot has upgraded from using GPT 3.5 to GPT 4. It now includes a dedicated chat window, workspace commands for context-aware code writing, and the ability to search across billions of files on GitHub to check licenses of similar code.

  • What is the potential future development for AI programming tools mentioned in the script?

    -The script suggests that future AI programming tools might be able to take client requirements and build complex projects in specific frameworks like Django, run the necessary commands, create files, and conduct unit tests without any human coding involved.

  • How might image data tools integrate with IDEs in the future?

    -The script mentions that there are already tools that can convert a screenshot into code. As these tools improve, they may be integrated directly into IDEs, allowing for more streamlined development processes.

  • What advice does the script give to programmers regarding the advancement of AI in their field?

    -The script advises programmers to stay optimistic. Even if programming as we know it becomes obsolete, there will still be a need for engineers to push the limits of technology and solve complex problems.

  • What is the significance of the shift towards AI-generated code in programming?

    -The shift towards AI-generated code signifies a potential paradigm shift in software development, where programmers might focus more on problem-solving and innovation rather than manual coding, as AI tools handle routine coding tasks.

  • How does the script address concerns about AI tools suggesting code from repositories that may have licensing issues?

    -The script mentions that GitHub Copilot now includes a feature to search billions of files on GitHub and return licenses on similar code, helping to ensure that programmers do not inadvertently use code they are not allowed to.

Outlines

00:00

😱 Prediction of Programmers' Future

The video discusses a prediction made by the founder of Stability AI that programmers may become obsolete within 5 years. This prediction stems from the rapid advancement of AI in coding assistance, with 41% of code on GitHub being AI-generated. The video highlights the recent updates in AI tools like GitHub Copilot, Google's Duet AI, and Jetbrains AI, which have significantly improved in functionality and integration with cloud services and IDEs. The speaker encourages optimism, suggesting that programmers may become more valuable as these tools become more prevalent.

Mindmap

Keywords

💡AI code assistance

AI code assistance refers to the use of artificial intelligence to help programmers write and understand code more efficiently. In the context of the video, it's highlighted by the rapid adoption of AI tools like GitHub Copilot, which has significantly increased the percentage of AI-generated code on GitHub. The term underscores the transformative impact of AI on software development, suggesting a future where AI plays an even more integral role in coding processes.

💡GitHub Copilot

GitHub Copilot is an AI-powered code generation tool that assists developers by providing code suggestions and autocomplete features based on the context of the code being written. It has become a significant part of the programming landscape, as evidenced by the statistic mentioned in the video. The tool's integration with the development environment allows it to enhance productivity and streamline the coding process, although it does not replace the need for human programmers at this stage.

💡Duet AI

Duet AI is an AI tool developed by Google that provides integrated AI assistance within the integrated development environment (IDE). It offers features such as a chatbot for developers, inline suggestions, and IntelliSense, similar to GitHub Copilot. Duet AI's unique selling point is its free availability and integration with Google Cloud, which allows developers to manage cloud resources directly from the IDE and access project-specific documentation and code samples.

💡JetBrains AI

JetBrains AI refers to the suite of AI-powered tools developed by JetBrains, a company known for its IDEs like PyCharm and IntelliJ IDEA. The video discusses JetBrains' new AI tool, which is designed to enhance the coding experience by offering features such as chat refactoring, writing documentation, and generating commit messages. The tool is powered by JetBrains AI service, which allows for the integration of multiple AI models, potentially including custom models tailored to specific coding conventions or projects.

💡AI-generated code

AI-generated code is code that is created by artificial intelligence algorithms without direct human intervention. The video script highlights the increasing prevalence of AI-generated code on platforms like GitHub, indicating a shift in the way developers approach coding. This development raises questions about the future role of human programmers and the potential for AI to automate significant portions of software development.

💡IntelliSense

IntelliSense is a code completion feature found in many IDEs that provides context-sensitive help as developers type, suggesting possible completions for variables, methods, and other code elements. In the context of the video, Duet AI offers IntelliSense, enhancing the developer experience by providing smart suggestions and improving coding efficiency.

💡Google Cloud

Google Cloud is a suite of cloud computing services offered by Google, which includes various products and tools for computing, data storage, and machine learning. In the video, it is mentioned that Duet AI integrates with Google Cloud, allowing developers to manage cloud resources directly from their IDE and access relevant documentation and code samples for their projects.

💡AI chatbot

An AI chatbot is an artificial intelligence application designed to simulate conversation with human users, providing assistance, answering questions, or performing tasks. In the context of the video, AI chatbots are integrated into development tools like Duet AI and JetBrains AI, where they offer real-time assistance to developers, such as code suggestions, refactoring, and documentation.

💡Cloud IDE

A Cloud IDE is an integrated development environment that runs on remote servers and can be accessed over the internet. This allows developers to write, test, and deploy code without the need for local setup or configuration. The video mentions Project Index, Google's cloud-based IDE, which is integrated with AI and offers features like emulators for different platforms.

💡Code Llama

Code Llama is an open-source AI model mentioned in the context of JetBrains AI service's capability to integrate with multiple AI models. It represents the potential for developers to use their preferred AI models or those tailored to their specific coding needs, which can provide more accurate and personalized code suggestions and assistance.

💡License compliance

License compliance refers to the adherence to the terms and conditions set forth by the license agreement of a piece of software or code. In the context of AI-generated code, it is crucial to ensure that the suggested code does not infringe on any licenses, especially when using code from repositories like GitHub. The video highlights GitHub Copilot's new feature that checks for license compliance, providing reassurance to developers that they are not inadvertently violating any licensing terms.

Highlights

The founder of Stability AI predicts that there may be no programmers in 5 years.

AI code assistance has rapidly become popular, with 41% of all code on GitHub being AI-generated.

GitHub Co-pilot, Google's Duet AI, and Jetbrains AI were all launched recently, showcasing significant advancements in AI tooling.

Duet AI from Google is now generally available and can be integrated into IDEs, offering a chatbot and inline suggestions.

Google's Duet AI is free until next year, after which it will cost $19 per month.

Duet AI's integration with Google Cloud allows for direct management of cloud resources from the IDE.

Google is working on a cloud-based IDE called Project Index, which is integrated with AI and includes emulators for iOS and Android.

Jetbrains AI service offers a chatbot that can refactor code, write documentation, and generate commit messages, among other tasks.

Jetbrains AI service can be powered by multiple models, including custom fine-tuned models for specific coding conventions.

GitHub Co-pilot has upgraded from using GPT 3.5 to GPT 4, including a dedicated chat window and workspace command.

GitHub Co-pilot can now search billions of files on GitHub to ensure code licensing compliance.

AI tools for programming are becoming increasingly sophisticated, but they are not yet capable of replacing human programmers.

The future of programming may involve AI tools that can take client requirements and build projects with minimal human intervention.

There is potential for AI tools to integrate with image data, allowing for code generation from screenshots.

Despite the rise of AI in programming, the need for engineers and problem-solving will persist in advancing technology.

The rapid advancements in AI programming tools are changing the landscape of software development.

These AI tools are designed to assist and empower programmers, not replace them, indicating a shift towards collaboration between human and AI.

The integration of AI with development environments suggests a future where cloud resources and coding are seamlessly interconnected.

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