AI-Driven Solutions
AI-Driven Solutions
At Aerolens, we leverage AI-powered solutions to enable intelligent automation into the core of the development lifecycle. These solutions harness advanced algorithms to streamline processes. They reduce manual overhead and enhance productivity in day-to-day activities.
By automating repetitive tasks, suggesting code improvements, and proactively addressing potential issues, AI-powered tools enable teams to focus more on innovation and strategic development. This ensures quicker turnaround times while sustaining high-quality outcomes.
Code Generation
We use AI-driven code generation tools to convert requirements or partial code snippets into complete code blocks. These tools analyze extensive code databases to suggest efficient, error-free code constructs. These automations greatly accelerate the development cycle, increase the productivity of our engineers, and reduce the potential for human error.
Pitching Development Issues
We use AI-powered tools to smartly analyze the codebase and identify development issues early on. By flagging design inconsistencies, performance bottlenecks, or non-standard practices, AI-powered solutions can communicate these issues to the development team along with recommendations. This process facilitates proactive problem-solving before the issues escalate.
Automated Testing
Automation in testing, enhanced by AI, ensures that every code change is rigorously evaluated against prevailing functionalities. We use AI to intelligently generate and execute comprehensive test cases, monitor system performance in real time, and even adapt tests based on new code patterns. This process ensures that potential defects are identified and resolved swiftly.
Bug Fixing
Our teams use AI tools to continuously monitor and analyze code behaviour to detect bugs. This analysis is based on historical error patterns and current system anomalies. These solutions identify issues, provide corrective suggestions, and automatically implement fixes. This approach minimizes downtime, ensures that bugs are resolved quickly and maintains software integrity.
Creating Unit Test Cases
Our teams incorporate AI in unit test creation. These test cases are generated based on actual code logic and behaviour. The solution examines functions and modules to determine critical edge cases and standard operations. This process automatically crafts targeted unit tests. This boosts test coverage, reliability, and reduces the overhead of manually writing exhaustive tests.
