Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

Best ways to incorporate security into the software development life cycle Your email has been sent With the persistence of security issues in software development, there is an urgent need for ...

Considering the scaling history and trajectory of generative AI models (specifically large language models, or LLMs) specialized for coding, the software development life cycle (SDLC) is ripe for ...

In the SDLC, there should be no shortcuts. Developers must view AI as a collaborator to be monitored, rather than an autonomous entity to be unleashed.

AI is reshaping software development, shifting work from coding to orchestration, governance, and skills evolution while ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More According to the latest edition of the annual Synopsys Building Security ...

May 2025 will go down in history as the month when agentic software development was truly unleashed upon the world. A significant step up from chat-based code assistants, agentic software tools have ...

Code generation and copilots are just the beginning of new AI-enabled ways to develop, test, deploy, and maintain software. Coding in the 1990s usually meant selecting an editor, checking code into ...

All companies i depend upon business to business software applications to enhance operations, creating a broad range of risks in the process. These risks include security, availability, recoverability ...