AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. A popular use case right now is ChatGPT, which allows you to conversationally ask questions to a chatbot and get back relevant information because the AI can understand what you’re asking in plain language. Beyond just answering questions, these AIs are capable of writing code, creating detailed plans based on your specifications, summarizing documents, and more.
AI has made its way into the software development space in a number of ways. AI can be baked into applications to improve end user experience by creating personalized recommendations and tailoring experiences to the end user. AI-assisted development tools can complete the piece of code you started writing, or even offer suggestions for how to improve your code. Generative AI chatbots, such as ChatGPT, can be used to ask for specific code snippets to perform a task, can explain what is happening in a piece of code, or can be used to troubleshoot why your code isn’t working as intended.
Read the articles below for more information on what you need to know about AI.
Gartner recently revealed a new report where it predicted that by the end of 2027, over 40% of agentic AI projects will be canceled. Factors contributing to this decline include escalating costs, unclear business value, and inadequate risk controls. According to the analyst firm, one trend it is seeing is that vendors are hyping up … continue reading
Google’s Agent2Agent protocol finds new home at the Linux Foundation At the Open Source Summit North America, it was announced that Google donated its Agent2Agent (A2A) protocol to the Linux Foundation. The A2A protocol offers a standard way for connecting agents to each other. In this way, it complements Anthropic’s Model Context Protocol (MCP), which … continue reading
Google’s Agent2Agent protocol finds new home at the Linux Foundation At the Open Source Summit North America, it was announced that Google donated its Agent2Agent (A2A) protocol to the Linux Foundation. The A2A protocol offers a standard way for connecting agents to each other. In this way, it complements Anthropic’s Model Context Protocol (MCP), which … continue reading
Qodo, maker of an AI coding platform, today announced the release of Qodo Gen CLI, an agent framework that enables developers to create, customize, and deploy their own AI coding agents. With the framework, creating agents can be done by writing configuration files that add autonomous AI agents throughout the software development life cycle, according … continue reading
Warp is undergoing a significant transformation with its 2.0 launch, shifting from its origins as a terminal emulator with AI integrations into an Agentic Development Environment (ADE). “The products on the market today, from AI IDEs to CLI coding agents, all miss the mark supporting this workflow. They bolt agents onto code editors through chat … continue reading
At Broadcom’s recent Spark VSM Summit, the theme was “VSM evolution meets AI revolution.” After the event, SD Times sat down with Broadcom’s Jean Louis Vignaud, the head of ValueOps at the company, to discuss the AI revolution and its connection to value stream management. This interview has been edited for length and clarity. DR: … continue reading
The Android development team has announced the addition of Agent Mode for Gemini in Android Studio. With Agent Mode, a developer can describe a complex goal, then the agent will come up with an execution plan and then complete the tasks. Examples of tasks Agent Mode can tackle include building a project and fixing errors, … continue reading
Google has announced updates across its Gemini 2.5 family of reasoning models, including making Gemini 2.5 Pro and Flash generally available and introducing a preview of Gemini 2.5 Flash-Lite. According to Google, no changes have been made to Pro and Flash since the last preview, except for the pricing for Flash is different. When these … continue reading
IBM is announcing new capabilities to help companies unify their security and governance strategies for their AI agents. “AI agents are set to revolutionize enterprise productivity, but the very benefits of AI agents can also present a challenge,” said Ritika Gunnar, general manager of data and AI at IBM. “When these autonomous systems aren’t properly … continue reading
Advancements in artificial intelligence continue to give developers an edge in efficiently producing code, but developers and companies can’t forget that it’s an edge that can always cut both ways. The latest innovation is the advent of agentic AI, which brings automation and decision-making to complex development tasks. Agentic AI can be coupled with the … continue reading
Apple announces Foundation Models framework The Foundation Models framework will enable any app developer to utilize Apple Intelligence’s on-device processing for their apps. Apple Intelligence leverages Apple’s silicon processors to be able to process data without it leaving the device, ensuring better data privacy for users. According to Apple, Automattic’s journaling app Day One utilized … continue reading
At its Data + AI Summit, Databricks announced several new tools and platforms designed to better support enterprise customers who are trying to leverage their data to create company-specific AI applications and agents. Lakebase Lakebase is a managed Postgres database designed for running AI apps and agents. It adds an operational database layer to Databricks’ … continue reading
