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Jaimal Dullat
Jaimal Dullat

Posted on • Originally published at Medium

What is Devin and why is everyone talking about it?

What is Devin?

Devin isn’t your average AI — it’s an AI software engineer shaking up the tech industry. Devin is created by Cognition, an applied AI lab in the US, and is presented as the first fully autonomous AI software engineer in the world. This autonomous AI system is blazing trails as the first of its kind, capable of independently tackling a plethora of complex engineering tasks.

It comes fully equipped with a

  • Command Line,

  • Code Editor,

  • Browser,

making it a formidable force in coding challenges.

Why is everyone talking about it?

The buzz around Devin is largely due to its remarkable learning abilities. It can not only build and deploy applications but also fix bugs and contribute to open-source projects with exceptional proficiency.

This AI has leapfrogged past its predecessors in solving practical coding problems, thereby becoming an indispensable asset for developers and engineers

Key Features and Capabilities:

  1. Autonomous Coding and Deployment: Devin AI can autonomously write, debug, and deploy code, creating functional websites and software programs. Unlike other coding assistants, Devin can take on entire software projects independently, rather than just making suggestions and auto-completing tasks. Equipped with its own command line, code editor, and browser, Devin can operate entirely on its own.

  2. Learning and Adaptability: One of Devin’s key features is its ability to think ahead and plan complex tasks. It can make thousands of decisions based on the given task and learn from its mistakes to improve its performance over time. Devin uses machine learning algorithms to constantly learn and adapt to new challenges, making it a powerful tool for software development.

  3. Bug Identification and Fixing: Devin AI is capable of identifying and fixing bugs, reducing the time and effort required for troubleshooting. It can independently analyze codebases, pinpoint issues, and provide solutions, augmenting the efficiency of software development processes.

  4. Building and Deploying Apps: Devin can quickly learn how to use unfamiliar technologies and build and deploy apps from start to finish. For example, it can create interactive websites and continue adding features requested by the user, then deploy the app seamlessly. This capability streamlines the app development process and expedites project timelines.

  5. Fine-tuning AI Models: Devin AI can train and fine-tune its own AI models, making it a valuable asset for AI research and development. With just a link to a research repository, Devin can set up fine-tuning for large language models, showcasing its versatility and adaptability.

  6. Collaboration and Real-time Progress: Devin AI is designed to proactively collaborate with users. It reports progress in real-time, accepts feedback, and works alongside the user through design choices as needed. This collaborative approach enhances the user experience and fosters a seamless integration of AI and human ingenuity.


In conclusion, Devin is an AI software engineer that has garnered attention due to its autonomous nature and proficiency in handling complex engineering tasks. Its ability to learn, build, deploy apps, fix bugs, and contribute to open-source projects sets it apart from previous AI models. The potential for increased productivity and collaboration between humans and machines has sparked widespread interest and discussion about Devin in the software engineering community.

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