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 ...
Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation with rigor, oversight and accountability.
Claude Code vs ChatGPT Codex compared for performance, pricing, workflows, and privacy to find the best AI coding assistant ...
AI coding assistants can produce software in minutes, but a recent outage tied to AI-generated code shows why strong testing still matter.
AI-based coding tools won't be able to compete with the LLM giants. Observability is one possible way to differentiate the tools. Some startups will get acquired, others will go out of business.
AI hype has triggered millions of people and many corporations to dabble in AI with some launching full-blown applications.
I started my career as an architect and coder working on AI algorithms for image processing, natural language processing, and search. Flash-forward to today, my coding is limited to low-code platforms ...
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 ...
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