Development
Last updated
Last updated
At AANN.ai Labs, we prioritize a streamlined and efficient development process to ensure the delivery of high-quality software solutions.
A private GitLab repository fortified with Continuous Integration/Continuous Deployment:
(CI/CD) pipelines
Automatic code build feature, streamlining the development process
Automatic static code analysis to maintain code quality and identify potential issues
Automatic unit testing for prompt detection and resolution of errors
Automatic deployment to various environments in Kubernetes
Seamless deployment to any cloud or bare-metal host
Blue/Green deployment strategy for reduced downtime and risk
Automatic microservices scaling to manage high load conditions
Automatic load balancing for optimal distribution of network traffic
Log collection for simplified troubleshooting and system monitoring
A Web3 connector microservice that provides a secure connection to any EVM blockchain, enabling method calls and smart contract event subscriptions
A user management microservice offering user registration, authorization, and data storage
A Gateway (watchdog) microservice, facilitating communication between microservices and user connections
Swagger implemented for automatic API documentation
Each microservice is fortified with security systems, equipped with a request cache, and connected to its own database
Staging for on-going development and Research & Development (R&D) activities
Testing for Quality Assurance (QA) and demo of new features
Production as a ready-to-use environment
We adhere to a robust Software Development Life Cycle (SDLC), with all code undergoing cross code review
Our team follows the SCRUM development methodology, promoting iterative progress and flexibility
We employ unit tests for our code to ensure its functional integrity
We abide by Object-Oriented Programming (OOP) and SOLID principles to deliver maintainable and scalable code
