China’s Moonshot AI raises $2B at $20B valuation as demand for open-source AI skyrockets
Moonshot's annualized recurring revenue topped $200 million in April, driven by rapid growth in paid subscriptions and API usage.
O'Reilly AI-ML·
The current conversation about AI in software development is still happening at the wrong layer. Most of the attention goes to code generation. Can the model write a method, scaffold an API, refactor a service, or generate tests? Those things matter, and they are often useful. But they are not the hard part of enterprise […]
Read full articleMoonshot's annualized recurring revenue topped $200 million in April, driven by rapid growth in paid subscriptions and API usage.
Explore new realtime voice models in the OpenAI API that can reason, translate, and transcribe speech, enabling more natural and intelligent voice experiences.
Writing code has always been the most time- and resource-intensive task in software development. AI is changing that, and faster than most engineering organizations are prepared for. Tools like Claude Code and Cursor are already handling significant parts of code construction, freeing developers to spend more time on requirements, architecture, and design. But that shift creates a new challenge nobody is talking about enough. As AI takes on the heavy lifting, the skills that matter most are moving upstream: how to provide the right context for a prompt, how to evaluate what the model produces, and how to understand a problem deeply enough that you can’t be fooled by a confident but wrong answer. This piece explores those three skills and why developers who master them will have a significant edge over those who don’t. Beyond coding: Mastering the art of the prompt Software translation tools such as compilers and assemblers map a high-level description of code to a lower-level represent
I’m not even remotely worried about AI eliminating software development jobs. In fact, I’m pretty sure there will soon be a boom in both software development jobs and the amount of software available to everyone. People have always worried about automation causing massive unemployment. Each time a breakthrough happens, folks are sure that “it will be different this time.” Only it never is different. But the worriers persist. It’s paradoxical You can tell them all about the Jevons paradox — the observation that as something becomes more efficient, demand for that more efficient thing increases rather than decreases. In the mid-19th century, William Jevons noticed that the use of coal became more efficient. Humans figured out how to get more heat and energy out of less and less coal. The common belief was that, because less coal was needed for the same amount of energy or heat, there would be less demand for coal as a result. Everyone was concerned that coal miners would lose their jo
Artificial intelligence has had an immediate and profound impact on software development. Coding practices, coding tools, developer roles, and the software development process itself are all being reimagined as AI agents advance on every stage of the software development life cycle, from planning and design to testing, deployment, and maintenance. Download the May 2026 issue of the Enterprise Spotlight from the editors of CIO, Computerworld, CSO, InfoWorld, and Network World and learn how to harness the power of AI-enabled development.
Artificial intelligence has had an immediate and profound impact on software development. Coding practices, coding tools, developer roles, and the software development process itself are all being reimagined as AI agents advance on every stage of the software development life cycle, from planning and design to testing, deployment, and maintenance. Download the May 2026 issue of the Enterprise Spotlight from the editors of CIO, Computerworld, CSO, InfoWorld, and Network World and learn how to harness the power of AI-enabled development.
The service eliminates the need for customers to choose underlying models when building agents.
OpenAI launched GPT-5.5 on April 23 as what it calls “a new class of intelligence for real work and powering agents,” and the framing is deliberate. OpenAI says it’s the most capable agentic AI model to date, built from the ground up to plan, use tools, check its own output, and work through tasks independently. […] The post GPT-5.5 is OpenAI’s most capable agentic AI model yet–at twice the API price appeared first on AI News.