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January 2, 2025
The rapid development in the field of generative AI has fundamentally changed software development. The focus of attention is on supporting developers through large language models that accelerate the creation and updating of application code and increase productivity. Google's Gemini Coder is an example of this development and has made significant progress in 2024. This article highlights the functionalities and integration of Gemini Coder into software development.
Gemini Coder is based on Google's large language models (LLMs), trained on billions of lines of open-source code, security data, as well as Google Cloud documentation and sample code. These models enable developers to use code completion, code generation, natural language chat features, and more, directly in their IDE and in Google Cloud services such as Firebase, Colab Enterprise (Vertex AI), Databases BigQuery, Apigee, and Application Integration.
Gemini Coder offers developers a variety of application possibilities:
Accelerated Code Creation: Using AI-powered code completion and generation, as well as chat features, developers can create code blocks faster and clarify questions directly in the IDE.
Automation of Developer Tasks: "Smart Actions" automate common tasks such as generating tests and explaining code, which further accelerates the development process.
Improved Programming Skills: Gemini Coder provides support in finding solutions for specific programming problems, selecting appropriate tools and libraries, and applying best practices.
Application Development in Firebase: The integration of Gemini into Firebase simplifies the development process through quick answers, generation of Firebase integration code, support with troubleshooting, and insights into app quality.
Development of APIs and Automations: Gemini Code Assist in Apigee API Management and Application Integration enables the creation of APIs, the integration of applications, and the automation of SaaS app workflows.
With Gemini Code Assist Tools, Google offers developers a new way to retrieve information for developing and managing apps. The tools provide access to information from various technical systems, e.g., summarizing comments from Jira, identifying the last editor of a file in Git, or displaying the latest live site issue from Sentry. This is achieved by using APIs that translate natural language commands into parameterized API calls.
Advantages of Gemini Code Assist Tools:
Undisturbed Workflow: Access important information and tools without having to leave the IDE.
Data-Based Decisions: Access real-time data and insights from integrated partner tools.
Comprehensive Toolkit: Continuous expansion of the ecosystem through the integration of new partners and open-source technologies.
Google is working with industry leaders like Atlassian, GitHub, GitLab, Google Docs, Sentry, and Snyk to improve the developer experience. These partnerships enable the integration of various tools and services directly into Gemini Code Assist.
Google cooperates with numerous partners to integrate their technologies into Gemini Code Assist. These partnerships cover various areas of software development, including:
Observability: Dynatrace, Harness, New Relic
Security in the SDLC: SonarQube, Black Duck
Databases: Aiven, DataStax, Elastic, MongoDB
Gemini Coder and Gemini Code Assist Tools are promising tools for modern software development. By integrating AI-powered features, automating tasks, and accessing a broad ecosystem of partner tools, developer productivity is increased and the development of high-quality applications is accelerated.
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