Best 6 AI DevOps Assistant Tools in 2024

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Deploy backend applications and databases in minutes.

Live software catalog
Customizable data model
AI assistant
Scorecards
Developer self-service

To use Rely.io, engineers need to connect their tech stack, discover and populate the software catalog, and then train their AI assistant using their own data. Once set up, Rely.io integrates with critical tools to serve as a live knowledge base for the entire engineering organization.

AI-powered IaC generation
Simplifies provisioning and management of infrastructure resources
Automates best practices and recommendations
Integration with existing DevOps workflows

Using AIaC by Firefly is straightforward. Simply provide your infrastructure requirements and preferences, and the AI algorithm will generate the necessary IaC code based on best practices and recommendations. The generated code can then be integrated into your existing DevOps workflows.

AI-powered natural language interface
Real-time observation and modification of Azure resources
Seamless integration with Azure tenant

To use OmniOps, simply sign up on our website and connect your Azure tenant. Once connected, you can start having natural conversations with your Azure resources.

Code generation
AI-powered multi-modal VLLM transformers
Open API integration
Automated GIT, code, and documentation management
Multiple narrow AI agents for response aggregation

To use GenPen AI, simply sign up for an account and access the IDE. With the tool, you can test out different architectures, automate repetitive tasks using AI, and generate code based on models. It also keeps your GIT, code, and documentation up to date automatically.

GPT-4 with command line and code editor access
AI DevOps for provisioning development environments
Code addition and update assistance
Codebase analysis
Cloud-based VS Code IDE

basic $20 per user, per month GPT-4 credit: 20. 2 vCPUs. 2GB Memory. 30GB Storage. VS Code Cloud IDE

To use Devassistant.ai, simply sign up for an account and log in. Once logged in, you can take advantage of various features such as AI DevOps, which allows you to provision your development environment according to your needs. You can also ask the AI to add or update code for you by scanning through your codebase. Additionally, you can analyze any codebase by pulling public or private repositories and asking the AI questions about the code. Devassistant.ai also provides a cloud-based VS Code IDE for viewing code changes and making adjustments or commits.