Artificial Intelligence | News, analysis, features, how-tos, and videos
The future is unknown as developers start taking advice from machines rather than peers. How will we keep the LLMs honest?
GitHub Copilot agent mode in Visual Studio 2022 17.14 can create apps from scratch, refactor code across multiple files, write and run tests, and apply code changes iteratively, Microsoft said.
The partnerships are aimed at providing more accurate data for building applications for agentic and other generative AI use cases.
LiteLLM allows developers to integrate a diverse range of LLM models as if they were calling OpenAI’s API, with support for fallbacks, budgets, rate limits, and real-time monitoring of API calls.
Neon can spin up databases in milliseconds, making it ideal for building, and running, agentic AI.
Support for Model Context Protocol (MCP) is also on the roadmap.
There are also new tools for building agents, intended to help enterprises automate the ingestion and cleaning of data, and generation of data pipelines.
The enterprise AI market is becoming an intense battleground for cloud giants racing to define the future of workplace productivity.
An agentic mesh is a way to turn fragmented agents into a connected, reliable, enterprise-grade ecosystem. It lets agents find each other, and safely and securely collaborate, interact, and even transact.
Generative AI can enable transformation capabilities when organizations look beyond productivity drivers. Here’s how agile teams are using genAI to accelerate and improve requirements gathering and writing agile user stories.