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Description
Enhance the speed and efficiency of software development and delivery by leveraging generative AI support, all while ensuring robust enterprise security and privacy safeguards.
Gemini Code Assist streamlines your coding process by completing your code as you type and can generate entire code blocks or functions upon request. This powerful code assistance tool is compatible with a variety of popular integrated development environments (IDEs) like Visual Studio Code and JetBrains IDEs (including IntelliJ, PyCharm, GoLand, and WebStorm), as well as Cloud Workstations and Cloud Shell Editor, supporting over 20 programming languages such as Java, JavaScript, Python, C, C++, Go, PHP, and SQL.
Utilizing a natural language chat interface, you can easily interact with Gemini Code Assist to obtain solutions to your coding queries or gain insights into coding best practices, with chat functionality accessible across all supported IDEs.
Organizations have the flexibility to tailor Gemini Code Assist by integrating their private codebases and knowledge repositories, enabling the tool to provide more personalized assistance that aligns with specific enterprise needs.
Furthermore, Gemini Code Assist has the capability to facilitate extensive modifications across entire codebases, thereby optimizing the development workflow significantly. This adaptability not only boosts productivity but also empowers teams to innovate more rapidly in a secure environment.
Description
You can access models through the integrated Chat UI of the app or by utilizing a local server that is compatible with OpenAI. The minimum specifications required include either an M1, M2, or M3 Mac, or a Windows PC equipped with a processor that supports AVX2 instructions. Additionally, Linux support is currently in beta. A primary advantage of employing a local LLM is the emphasis on maintaining privacy, which is a core feature of LM Studio. This ensures that your information stays secure and confined to your personal device. Furthermore, you have the capability to operate LLMs that you import into LM Studio through an API server that runs on your local machine. Overall, this setup allows for a tailored and secure experience when working with language models.
API Access
Has API
API Access
Has API
Integrations
AppCode
Confluence
DataGrip
Devstral
Gemini 1.5 Flash
Google Cloud Code
Google Cloud Platform
Google Cloud Shell
Google Cloud Workstations
Google Docs
Integrations
AppCode
Confluence
DataGrip
Devstral
Gemini 1.5 Flash
Google Cloud Code
Google Cloud Platform
Google Cloud Shell
Google Cloud Workstations
Google Docs
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/products/gemini/code-assist
Vendor Details
Company Name
LM Studio
Website
lmstudio.ai
Product Features
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)