Worlds FIRST AGI SOFTWARE ENGINEER Just SHOCKED The ENTIRE INDUSTRY! (FULLY Autonomous AI AGENT
TheAIGRID・2 minutes read
Cognition Labs has developed Devon, an AI software engineer that can independently solve engineering tasks, surpassing previous models in resolving GitHub issues and showcasing advanced reasoning capabilities. Devon's impressive performance on the SWE Benchmark and the company's groundbreaking approach to AI development hint at potential revolutionizing the software engineering industry.
Insights
- Devon, the AI software engineer developed by Cognition Labs, has demonstrated exceptional autonomous problem-solving abilities, surpassing previous models by resolving 13.86% of GitHub issues unassisted and showcasing advanced reasoning, long-term planning, and debugging skills.
- The significant funding received by the company behind Devon, including a 21 million series A led by Founders Fund, highlights the potential of their proprietary blend of technologies, combining large language models like GPT-4 with reinforcement learning techniques, to revolutionize the software engineering industry and potentially impact various other disciplines.
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What is Devon?
An AI software engineer capable of independent problem-solving.
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Summary
00:00
"Devon: Revolutionary AI Engineer Solving Engineering Tasks"
- Cognition Labs announced Devon, the first AI software engineer, capable of solving engineering tasks independently.
- Devon has passed practical engineering interviews and completed real jobs on Upwork, using its own Shell Code editor and web browser.
- In the SWE Benchmark, Devon resolves 13.86% of GitHub issues unassisted, surpassing previous models significantly.
- Devon can plan, code, debug, and deploy websites autonomously, showcasing advanced reasoning and long-term planning capabilities.
- Devon can learn from blog posts, generate images, fix bugs, and provide detailed reports on tasks assigned to it.
- Devon can add features to open-source repositories, improve user experience, and fix bugs efficiently.
- Devon can implement games, increase frame rates, fix bugs, and make websites responsive to different window sizes.
- Devon can fine-tune its own models, handle training jobs, and troubleshoot issues like Cuda errors effectively.
- Devon can test algorithms, identify bugs, and generate test cases based on specified inputs, showcasing its versatility.
- Devon's capabilities demonstrate significant advancements in AI technology, with potential implications across various industries.
13:47
Devon excels in software testing and AI
- Devon wrote the initial test with ease, understanding the test's structure and interfaces, encountering a compiler issue which was swiftly resolved by adding an extra include.
- Devon expanded the test to cover all inputs using a Brute Force testing strategy, but encountered a test failure, leading to debugging by adding print statements to identify and rectify the incorrect case.
- After debugging, Devon ensured the return value was non-negative by modifying the code, reran the tests, and confirmed the correctness of the code.
- The company behind Devon received significant funding, including a 21 million series A led by Founders Fund, aiming to unlock new possibilities in various disciplines beyond just software.
- Devon's performance on the Swe Benchmark was notably impressive, surpassing previous state-of-the-art models, showcasing a robust understanding of code and context, and excelling in unassisted problem-solving.
- The company's breakthrough in AI development, combining large language models like GPT-4 with reinforcement learning techniques, hints at a proprietary blend of technologies, potentially revolutionizing the software engineering industry.
