At Google, leaders are anxious about falling behind in the race to offer AI coding tools, especially as rivals like Anthropic PBC offer more effective and popular tools to businesses, according to people familiar with the matter.

Treat your AI agent like a smart but inexperienced junior dev: Pair with them, teach them your systems and don't give them root access until they earn it.

A new AI adoption framework presented by an entrepreneur maps business use of AI into stages, emphasizing collaboration over replacement. This comes as industry data shows AI coding tools speed up code generation but often shift bottlenecks to integration ...

Google is reportedly building a strike team to create better AI coding models, challenging competitors like Claude Code.

What Cherny is describing, in engineering terms, is the operating principle behind test-driven development (TDD). TDD has existed since the late 1990s. It's not new. What is new is that the economic case for it has fundamentally changed in the age of AI-generated code—and most business leaders haven't yet made that connection.

These aren't isolated incidents; they're warning signs that getting the AI fix users crave will become harder to come by.

Infosys said the integration will be used to help its clients modernize software development, automate workflows and deploy AI systems, initially focusing software engineering, legacy modernization, and DevOps.

Researchers say a prompt injection bug in Google's Antigravity AI coding tool could have let attackers run commands, despite safeguards.