Google has introduced two new AI coding tools called Gemini Code Assist and CodeGemma, based on the Gemini and Gemma AI models. Gemini Code Assist supports various programming languages and Google Cloud-related queries, whereas CodeGemma can code in Python, Javascript, and Java. These tools are aimed at helping engineers reduce the amount of generic "boilerplate" code they have to write. Additionally, they join the growing number of AI coding tools developers can utilize to complete projects faster.
Key Takeaways
- Google has launched two new AI coding tools based on Gemini and Gemma AI models.
- Gemini Code Assist can write code in various programming languages and handle questions about Google Cloud.
- CodeGemma is designed for code generation, code chat, and can fulfill code completion requests quickly.
- CodeGemma models were trained on 500 billion tokens of data to reduce generic "boilerplate" code.
- These AI coding tools may lead to fewer software engineering jobs, create more jobs working on AI models, or help developers complete more tasks faster.
News Content
Google is introducing two new AI coding tools called Gemini Code Assist and CodeGemma. Gemini Code Assist is based on Google's Gemini model and is designed to write code in various programming languages, handle questions about Google Cloud, debug code, and explain code in more detail. CodeGemma, on the other hand, is able to code in Python, Javascript, and Java and is trained on 500 billion tokens of data including "web documents, mathematics, and code." These new tools are part of the growing number of AI coding tools available to developers, and they aim to streamline the coding process and reduce the amount of generic code engineers have to write.
Additionally, these tools are intended to work alongside developers, but there are other AI tools like "Devin," an "AI software engineer" created by Cognition Labs, that promises to complete entire engineering projects with little to no guidance. While some of these AI tools could lead to job changes in the software engineering field, they also have the potential to create more job opportunities in the short term. Overall, the introduction of these AI coding tools could potentially help developers complete tasks faster, as long as the AIs don't "hallucinate" too much.
Analysis
Google's introduction of AI coding tools, Gemini Code Assist and CodeGemma, is poised to significantly impact the software engineering field. These tools will streamline coding processes and reduce generic code writing for developers. However, this could lead to job changes in the industry, as seen with other AI tools like "Devin." In the short term, these AI tools may create new job opportunities while raising concerns about potential job displacement. Organizations and individuals, particularly developers, will need to adapt to this evolving landscape. Expectations are that these AI coding tools will continue to evolve, necessitating ongoing re-skilling and adaptation within the industry.
Do You Know?
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Gemini Code Assist and CodeGemma: These are two new AI coding tools introduced by Google. Gemini Code Assist is based on Google's Gemini model and is designed to write code in various programming languages, handle questions about Google Cloud, debug code, and explain code in more detail. CodeGemma, on the other hand, is able to code in Python, Javascript, and Java and is trained on 500 billion tokens of data, including "web documents, mathematics, and code."
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Devin by Cognition Labs: Devin is an "AI software engineer" created by Cognition Labs, which promises to complete entire engineering projects with little to no guidance. While some of these AI tools could lead to job changes in the software engineering field, they also have the potential to create more job opportunities in the short term.
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Potential impact on developers and job opportunities: The introduction of these AI coding tools could potentially help developers complete tasks faster, but there is concern about the AIs "hallucinating" too much. Additionally, while they may lead to job changes in the software engineering field, they also have the potential to create more job opportunities in the short term.