TDG is an approach that combines TDD, Pair Programming, and Generative AI. It solves TDD challenges like slow initial development and steep learning curves.
Learn how AWS Fargate can be leveraged to deploy microservices without managing the underlying infrastructure as well as techniques to optimize performance.
Explore the pitfalls associated with the excessive creation of microservices, insights on their causes, implications, and potential strategies for mitigation.
Learn about the Dapr 1.14 release last month introduced many new features, including the Jobs API and Scheduler control plane service for job management.
Tired of frustrating bugs? Discover practical, real-world strategies for full-stack debugging to effortlessly track down issues from frontend to backend.
Proactively integrating CSPM with DevSecOps strengthens security by continuously monitoring and addressing vulnerabilities from development to deployment.
Learn why despite the rise of modern, cloud-native CI/CD tools like GitHub Actions and CircleCI, Jenkins remains a heavyweight in the CI and delivery space.
Get started with jOOQ, Liquibase, and Testcontainers: Create a basic Spring Boot application and integrate the aforementioned techniques including a test setup.
Android 15 brings enhanced privacy, intuitive gestures, and improved performance, making early testing crucial for developers. Learn more about the key updates.
The article covers the design and implementation of a low code AI agent developed using Kumologica and Anthropic AI for customer feedback sentiment analysis.
Explore the advancements of on-device AI and how it will revolutionize our daily interactions with technology, making our lives more efficient and connected.
This article will help you gain a solid understanding of the lifecycle of singleton, scoped, and transient services when implementing dependency injection.
Demand is growing for robust computing. However, hyperscale data center construction faces challenges due to technology demands, shortages, and regulations.
Learn about managing AI/ML workloads in Kubernetes and follow a step-by-step tutorial for deploying a sample TensorFlow-based sentiment analysis model.