For years, the promise of AI in software engineering has delivered incremental gains. Most organizations have adopted an ...

AI testing tools are becoming part of the normal QA conversation. They can generate test cases, help with automation, ...

The FBI warned that TeamPCP software supply chain attacks targeted developer tools to steal cloud credentials, SSH keys, and ...

Across global manufacturing sectors, particularly within the rapid infrastructure expansions of Belt and Road countries, the demand for precision-engineered architectural stone has escalated. To ...

AI coding assistants can speed up bounded tasks, but research shows security and review risks rise in complex codebases.

Companies are still struggling to figure out if they are getting a return on their AI investments. These metrics can help.

Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Software testing ...

Engineering teams do not lose most of their time on typing code. They lose it on handoffs, status changes, missing context, waiting for review, failed builds, repeated triage, manual ticket updates, ...

Emerson has expanded NI Nigel AI across its test software portfolio, introducing new prompt-based code generation in the NI ...

As new cloud, API, identity and application environments evolve at a rapid pace, continuous security testing is becoming a ...