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Harness has unveiled a significant update to its platform, integrating generative AI to streamline the enterprise software development process. This update introduces a suite of AI agents designed to automate various stages of the software development lifecycle, including coding, testing, and deployment. The new features aim to reduce the time developers spend on repetitive tasks, allowing them to focus on more creative problem-solving activities.
The AI agents include an AI DevOps Engineer, a QA Assistant, and an AI Code Generation tool, all aimed at enhancing productivity. Harness's CEO, Jyoti Bansal, emphasizes that these advancements could lead to a productivity increase of up to 50% for development teams. By leveraging AI, the platform not only automates coding but also improves testing efficiency, potentially reducing test writing time by 80%.
• Harness introduces AI agents to enhance software development efficiency.
• AI tools aim to reduce repetitive tasks and boost developer productivity.
In this context, generative AI is used to assist in various stages of the software development lifecycle.
Harness's AI code assistant utilizes Google Cloud's Gemini models to enhance coding efficiency.
This agent represents a significant advancement in automating complex tasks within the software development process.
Harness has expanded its offerings to include AI tools that enhance productivity in enterprise software development.
Google Cloud's Gemini models are utilized by Harness to power its AI code assistant.
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