Enterprises that adopt any vendor’s AI package are likely to face higher costs, lock-in, and complexity. Here’s why building your own AI architecture is the smarter move.

The time is now for IT leaders and teams to start transforming existing operations for the incoming AI agent workforce.

No need to panic if you haven’t jumped into the crazy world of AI development yet. Find a problem to solve and get your data ...

The company is positioning its new offerings as a business-ready way for enterprises to build domain-specific agents without first needing to create foundation models.

With Visual Studio Code 1.107, developers can use GitHub Copilot and custom agents together and delegate work across local, ...

OpenAI has released GPT-5.2, claiming significant gains in the AI model’s ability to complete real-world business tasks to an ...

Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS ...

While it will no longer support the Fleet IDE, JetBrains said it will continue to evolve the agentic AI workflows and ...

As inefficient code increases enterprises’ expenditure, vendors are looking at different ways to optimize code — from ...

Building distributed apps requires specialized tools. Microsoft delivers with an API simulator that supports complex mocks ...

MongoDB is still the most popular NoSQL document database for developers, but compatible alternatives such as DocumentDB ...

After years of resisting multicloud, AWS has unveiled Interconnect and acknowledged what practitioners have long known: Best ...