What are the advantages generative AI offers when applied in the field of software development?

The safest way to roll out updates on Amazon Bedrock without risking peak-hour outages is to use a canary deployment strategy. This technique involves directing a small, incremental percentage of live traffic to the new model or configuration while closely monitoring its performance. If any issues are detected, traffic can be instantly routed back to the stable version, mitigating risk during peak hours.
The blue/green method, while effective, can be less granular and riskier for AI models, where behavior changes are more subtle. Canary deployments provide fine-grained control and a real-world testing period.

Automation testing tools can be categorized by the type of application they test (web, mobile, API, desktop), the type of testing they perform (unit, functional, regression, performance, security), or the testing framework they are built on (linear, data-driven, keyword-driven, hybrid). Popular tools include Selenium (web), Appium (mobile), Postman (API), JUnit (unit testing), and JMeter (performance).

Yes, you can generate code using generative AI models.

AI will not replace software engineers. It will automate tasks and improve efficiency, but engineers will be still needed for strategic thinking, architecture design and collaboration and communication.

In 2025, leading AI tools for demand forecasting include Anaplan, o9 Solutions, SAP, Blue Yonder, ThroughPut Inc., E2open, and DataRobot, Inc.