the impact of AI in Software Development Life Cycle (SDLC)
AI streamlines the SDLC by automating requirements analysis, enhancing design with intelligent recommendations, and accelerating coding through AI-assisted development and automated testing. It improves quality assurance by expanding test coverage and prioritizing defects, while deployment benefits from predictive risk analysis and automated compliance checks. AI-driven operations enable real-time monitoring and rapid issue resolution, and continuous governance ensures responsible, compliant AI practices. These advances boost speed, reliability, and trust, helping organizations scale AI solutions and demonstrate clear business value.
