Artificial Intelligence: Augmented Integrated Development Environments for Boosting Programmer Productivity

AI is transforming software development with technologies that improve speed, quality, and productivity. AI-powered technologies and their use in software development are
covered in this abstract. NLP algorithms help extract and categorize requirements from unstructured documents during requirements collecting and analysis. Machine learning algorithms forecast hazards and resource needs using past project data, improving planning and estimating. In addition, machine learning models trained on massive code repositories may produce code snippets and functions from natural language descriptions. AI algorithms produce test cases, prioritize test scenarios, and anticipate defect-prone code for testing and quality assurance. Automatic bug
detection technologies use deep learning to spot bugs before they hit production. This research article brings in more insights about the various tools and softwares that are utilized in various stages of software development life cycle for efficient product development.