Automating tests with MFA is challenging as it complicates automation with manual code retrieval, which slows development. Use this tool to programmatically automate.
Real-time object detection at the edge using YOLOv5 and AWS IoT Greengrass enables fast, offline, and scalable processing in bandwidth-limited or remote environments.
Understand when to use TDD, traditional, or hybrid testing methods to improve software quality, streamline development, and align with your project needs.
E2G gives your team cloud testing agents, allowing you to spin up the test agents, run your tests in parallel, and watch real-time logs — all without idle hardware.
Integrate Selenium with Amazon S3 for scalable, secure, and centralized test artifact storage — boosting efficiency, collaboration, and automation workflows.
Run distributed JMeter load tests on Kubernetes environments with CI/CD integration, auto-scaling, and real-time monitoring using InfluxDB and Grafana.
Amazon Bedrock simplifies AI app development with serverless APIs, offering Q&A, summarization, and image generation using top models like Claude and Stability AI.
Learn in this article how BDD, AI-powered Cursor, and Playwright MCP simplify test automation, enabling faster, smarter, and more collaborative workflows.
When you need a quick assessment of your service’s ability to handle a load of 100+ requests per second, there’s no need to involve multiple teams in complex processes.
Learn about key qualities for writing software requirements—documented, correct, testable, and more—tailored for both human developers and AI code generation.
Discover the risks of vibe coding and learn strategies to balance creativity with security. Protect your app and users while maintaining a fast-paced workflow.
AI isn't just another technological shift; it's a race against time where it requires faster learning and adaptation than any previous technological transition.