The Third Wave of AI Test Automation in 2025
The industry has moved from proprietary, vendor-locked tools to open source frameworks, and now into a third wave where AI […]
The industry has moved from proprietary, vendor-locked tools to open source frameworks, and now into a third wave where AI […]
High-performing teams no longer treat testing as a final phase; it is embedded throughout the SDLC to ensure software is
Modern software teams ship faster than ever, but traditional testing approaches cannot keep pace with compressed release cycles and growing
Agentic AI in the SDLC refers to autonomous, goal-driven AI agents that operate across planning, coding, testing, deployment, and operations.
Over the last decade, enterprises have automated most core engineering workflows, from integration and testing to deployment and observability. However,
DevOps generates a massive volume of logs, metrics, and events that traditional manual analysis cannot process in real time. AI
Serverless architecture is a cloud computing model where applications still run on servers, but the cloud provider manages provisioning, scaling,
The Real Answer: AI Won’t Replace Developers, But It Will Transform the Role Artificial Intelligence is rapidly transforming how applications
As modern web development trends shift from multi-page applications (MPAs) to single-page applications (SPAs), developers benefit from smoother navigation, faster
Backend frameworks provide the foundation for server-side development by handling business logic, database access, authentication, security, and API endpoints. While
Backend development in 2025 moves faster than ever, and selecting the right technology is now a business decision as much
By 2025, microservices architectures are standard in large organizations, making scalable, low-latency APIs a baseline requirement rather than a bonus.