Not only are we less clear about who is developing software, but we are also less confident about our total inventory of ...

Organisations should adopt shared platforms and automated governance to keep pace with the growing use of generative AI tools ...

AI-assisted development accelerates software delivery but expands the threat surface. From prompt injection and malicious MCP servers to AI-generated code flaws and ...

Claude Code vs ChatGPT Codex compared for performance, pricing, workflows, and privacy to find the best AI coding assistant ...

AI isn’t just cranking out code anymore. It’s starting to think, solve problems and work like a real teammate in development. When Anthropic announced its Claude 4 models, the marketing focused ...

The chatbot era is giving way to something bigger: AI systems that organize themselves into digital workforces capable of running projects from start to finish.

AI hype has triggered millions of people and many corporations to dabble in AI with some launching full-blown applications.

AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them. AI is dramatically ...

CodeRabbit’s “State of AI vs Human Code Generation” Report Finds That AI-Written Code Produces ~ 1.7x More Issues Than Human Code Review of AI-coauthored PRs and human-only PRs finds AI-Generated PRs ...

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...