While Elon Musk's $300 “Heavy” model puts up record-breaking benchmark scores, the basic Grok 4 struggles to keep up with ...

Tasks like prompting the AI, waiting for responses, and reviewing its output for errors actually slowed down developers in ...

From road trips to remote work, I put the it to the test—here’s what the Ryoko Pro WiFi Router reviews reveal about speed, ...

As AI technology and no-code automation tools continue to evolve, manual testing seems to be losing its edge. This perception ...

AI is reshaping how developers work -- boosting speed, reducing grunt work, and making “vibe coding” part of the workflow.

The idea of creating software from "vibes" or feelings seems antithetical to the buttoned-up and highly regulated world banks live in. But experts say there's a place for it.

With AI introducing errors and security vulnerabilities as it writes code, humans still have a vital role in testing and evaluation. New AI-based review software hopes to help solve the problem.

And how would it do when testing involves not only my code but also spinning up an entire additional ecosystem -- WordPress -- to evaluate performance?

GitHub adds agentic capabilities to its Copilot coding assistant, competing with other more asynchronous coding platforms.

As AI becomes ingrained with how software engineers write code, it's essential to understand how developers can take advantage of AI and thrive in the new technology era.

Google’s AI coding assistant can help you write, test, debug, and document your code, but currently lacks whole-repo code generation and agents for long-running coding tasks.

Code reviews Think of a code review like having an editor check your writing. Before code gets added to a project, other developers examine it to spot potential problems, suggest improvements, and ...