Devin AI Software Engineer - Did I just lose my job?

14 Mar 202407:47

TLDRThe video script discusses the impact of AI on web development, highlighting the speaker's personal experiences with tools like GitHub Copilot and the potential of platforms like Devon. It explores the efficiency and limitations of AI in coding, such as input dependency and the challenge of integrating with complex systems. The speaker also touches on the future of web development and the role of AI in solving GitHub issues, emphasizing the growing importance of learning about AI and its potential to reshape the industry.


  • ๐ŸŽ‰ The speaker is excited about the new release of AI tools and expects to create more content around AI in the near future.
  • ๐Ÿ“š The book 'Hands-On Machine Learning with Python' is mentioned as a resource to expect tutorials from.
  • ๐Ÿš€ The speaker has joined the waiting list for Devon, an AI tool, and plans to do live tests upon receiving an invitation.
  • ๐Ÿค– The speaker discusses the potential of AI in web development, specifically mentioning GitHub Copilot as a helpful tool for speeding up workflows.
  • ๐ŸŒŸ Devon's unique features include an integrated terminal and browser, and the ability to create checklists for problem-solving.
  • ๐Ÿ› ๏ธ The speaker questions the efficiency of AI tools in making quick iterations and their applicability in larger scale applications.
  • ๐Ÿ•’ Time efficiency is a concern for the speaker when considering the use of AI tools for minor tasks that could be done manually in seconds.
  • ๐Ÿ” The speaker highlights the importance of understanding how AI will interact with and optimize complex systems.
  • ๐Ÿ“ˆ A comparison is made between the bundle sizes and performance of a simple to-do list app built with different frameworks.
  • ๐Ÿž The speaker points out the presence of bugs in AI-generated examples and expresses concern over trust in AI solutions.
  • ๐Ÿ“Š Devon's ability to solve GitHub issues is highlighted, showing a significant improvement over previous AI models like GPT 3.5 and GPT 4.

Q & A

  • What is the speaker's initial sentiment towards Devon and the new release?

    -The speaker expresses a mix of excitement and pride for Devon, acknowledging the progress made and looking forward to the new release.

  • What is the speaker's perspective on the potential of AI in the near future?

    -The speaker is optimistic about AI's potential, especially in the context of web development, and plans to create more content around AI, including tutorials on machine learning with Python.

  • Which AI tool has the speaker found most useful for their workflow?

    -The speaker finds GitHub Copilot to be the most useful tool so far, not for the quality of code it generates, but for its ability to speed up their workflow by quickly generating code that can be reviewed and implemented with a simple tab press.

  • What is the main challenge the speaker sees with AI tools like Gemini and Chad GPT?

    -The main challenge is the user input, which significantly affects the AI model. The speaker gives examples of inconsistent responses from Gemini regarding JavaScript array operations.

  • What unique features does Devon have compared to other AI tools?

    -Devon has its own integrated terminal and browser, and it can create checklists to solve problems, which sets it apart from other AI tools like Chat GPT.

  • What is the speaker's concern regarding the time it takes for AI to make iterations in web development?

    -The speaker is concerned about the efficiency of AI in making iterations. They question whether small changes would take a significant amount of time to implement through AI, which might not be worth it if it's faster to manually code the changes.

  • How does the speaker feel about the integration of AI in larger scale applications?

    -The speaker is curious and sees it as an interesting challenge to understand how AI would fit into and adapt to more complex systems without causing disruptions to the existing codebase.

  • What example did the speaker provide to illustrate potential issues with AI in web development?

    -The speaker used the example of a to-do list application built with Devon, which had a large bundle size and poor performance, to highlight potential issues with AI in web development, such as unnecessary inclusion of large packages.

  • What is the speaker's opinion on the role of AI in the future of web development?

    -The speaker believes that AI will continue to grow and become more integral in web development, suggesting that even if AI takes over some tasks, there will still be a market for learning AI and improving its mechanisms.

  • How does the speaker view the progress of AI in solving GitHub issues?

    -The speaker is impressed by Devon's ability to solve 14% of open GitHub issues, compared to 0.52% for Chad GPT 3.5 and 1.7% for GPT 4, seeing this as a significant leap and an exciting development in AI capabilities.

  • What is the speaker's final message to the viewers regarding Devon?

    -The speaker encourages viewers to share their thoughts on whether Devon is an ally or a foe and promises to release a full stack course soon, expressing excitement for the future of AI and web development.



๐Ÿค– Embracing AI and Future Content Plans

The speaker addresses Devon, acknowledging the competitive spirit in the tech industry and expressing excitement for a new AI release. They share their intention to create more content about AI in the near future, specifically mentioning a book on Python and machine learning. The speaker has joined Devon's waiting list and plans to conduct live tests. They reflect on their experience using AI in web development, particularly GitHub Copilot, and discuss the importance of user input in AI model performance. The speaker also explores the potential of AI in creating and iterating on simple applications, questioning the efficiency and scalability of AI in web development.


๐Ÿš€ Devon's Capabilities and Industry Concerns

The speaker delves into Devon's features, such as its integrated terminal and browser, and compares it to other AI tools like ChatGPT and Gemini. They examine Devon's ability to refactor code and discuss the potential impact on web development workflows. The speaker raises concerns about the efficiency of AI in creating large-scale applications and the potential for AI to introduce unnecessary complexity or dependencies. They also highlight the importance of optimizing web development and question the role of AI in this process. The speaker concludes by emphasizing the inevitability of AI's growth and the opportunities for learning and improving AI technologies, despite skepticism and resistance from some quarters.




Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. In the context of the video, AI is central to the discussion about the impact of AI on web development and the future of programming. The script mentions AI tools like GitHub Copilot and Devon, which are designed to assist with coding and web development tasks, highlighting the growing integration of AI in technology and its potential to transform the industry.

๐Ÿ’กGitHub Copilot

GitHub Copilot is an AI-powered code assistant that helps developers write code more efficiently by providing suggestions and autocomplete options based on the context. In the video, the speaker praises GitHub Copilot for its ability to save time by quickly generating code, although they note that it doesn't necessarily produce the highest quality code. The tool's ability to autocomplete and the speed at which it operates are highlighted as significant benefits in the workflow of web development.


Devon is an AI system mentioned in the video that has its own integrated terminal and browser, capable of making checklists to solve problems. It is presented as a more advanced AI tool compared to GitHub Copilot, with the potential to refactor code and understand the use of new development hooks in frameworks like React. The video suggests that Devon could be a significant player in the near future of AI in web development, indicating a shift towards more sophisticated AI tools that can handle complex tasks.

๐Ÿ’กWeb Development

Web development refers to the process of creating, maintaining, and improving websites. It involves various aspects such as front-end design, back-end development, and database management. In the video, web development is the main theme, with the speaker discussing how AI tools like GitHub Copilot and Devon are being used to enhance the efficiency and speed of web development tasks. The challenges and potential of integrating AI in this field are explored, including the impact on the quality of code and the workflow of developers.

๐Ÿ’กMachine Learning

Machine learning is a subset of AI that focuses on the development of algorithms and models that allow computers to learn from and make predictions or decisions based on data. In the context of the video, machine learning is the underlying technology that powers AI tools like GitHub Copilot and Devon, enabling them to assist in coding and web development. The video also mentions a book titled 'Hands-On Machine Learning with Python,' indicating the speaker's interest in exploring machine learning techniques and their application in AI tools.


Optimization in the context of the video refers to the process of improving the efficiency and performance of web applications, often by reducing the size of code bundles and enhancing the speed of execution. The speaker discusses the importance of optimization in web development and expresses concern about the potential impact of AI tools on this process, particularly in terms of the balance between the added benefits of AI and the possible downsides, such as increased bundle sizes and performance issues.

๐Ÿ’กBundle Size

Bundle size refers to the total size of the files that make up a web application, including all the necessary code, libraries, and assets. In web development, a smaller bundle size is often preferred as it can lead to faster loading times and better performance for the end-users. The video script highlights the concern about AI-generated applications potentially leading to larger bundle sizes, which could negatively impact the user experience.


Performance in the context of web development refers to how well a website or application functions in terms of speed, responsiveness, and resource usage. The video script discusses the performance of AI-generated applications, noting that while they may offer certain advantages, they can also introduce performance issues, such as slow loading times or poor execution speed. The speaker emphasizes the importance of balancing the benefits of AI with the need for optimized performance in web applications.

๐Ÿ’กComplex Systems

Complex systems in the context of the video refer to large-scale, intricate web applications that require a deep understanding of the interdependencies and interactions among various components. The speaker is curious about how AI tools will handle and integrate with such complex systems, questioning whether they can be used to add features or make changes without disrupting the existing functionality or causing unforeseen issues.

๐Ÿ’กGitHub Issues

GitHub Issues are a feature on the GitHub platform that allows developers to track and manage tasks, enhancements, and bug reports for their projects. In the video, the speaker references a statistic showing that Devon has managed to solve a significant percentage of open GitHub issues compared to previous AI models, indicating its advanced problem-solving capabilities and potential impact on software development practices.

๐Ÿ’กMarket for Programmers

The market for programmers refers to the demand for professionals who can write and maintain code, as well as the opportunities available for them in the job market. The video discusses the potential future of this market in the face of advancing AI technologies, suggesting that even if the need for traditional programming tasks decreases, there will still be a market for professionals who understand AI and can work on improving these technologies.


The speaker expresses pride in someone's progress and hints at a future where AI might play a significant role.

The speaker plans to create more content around AI in the near future, indicating a growing interest and relevance in the topic.

The mention of a book, 'Hands-On Machine Learning with Python', suggests a resource for those interested in diving deeper into AI.

GitHub Copilot is highlighted as a tool that has helped speed up the workflow in web development, showing practical applications of AI.

The speaker discusses the limitations of AI in terms of user input and its impact on the AI model's output.

Gemini's inconsistent responses when asked about JavaScript array comparisons are pointed out, highlighting AI's current limitations.

The speaker's experience with Gemini refactoring a component shows the potential for AI in code improvement, despite some confusion.

Devon's integrated terminal and browser are mentioned as unique features that could enhance problem-solving in AI.

The speaker questions the time efficiency of AI in making iterations to simple applications, indicating a concern for practicality.

The potential for AI to fit into larger scale applications is discussed, with the speaker pondering the ease and impact of adding features.

The speaker addresses concerns about AI taking jobs, but offers a perspective that there will still be a market for human skills even as AI evolves.

An example of a to-do application made by Devon is critiqued for its bugs and performance, showing the current state of AI in web development.

The speaker discusses the bundle size and performance issues of a simple to-do list app, highlighting the challenges in optimization.

The potential for AI to solve GitHub issues is mentioned, with Devon reportedly solving 14% compared to other AI models, showcasing AI's growing capabilities.

The speaker reflects on the rapid growth of AI and its potential to create new paradigms in web development.

The episode ends with a call to action for viewers to engage in the discussion about AI's role as an ally or foe, encouraging community interaction.