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.
Software companies are constantly trying to add more and more AI features to their platforms, and AI companies are constantly releasing new models and features. Here are all the major AI updates we covered in the month of May. Mistral launches Agents API The Agents API includes built-in connectors for code execution, web search, image … continue reading
New Relic has announced a new integration with GitHub Copilot’s coding agent. It provides monitoring of code deployments and can automatically detect issues that arise as a result of changes. Whenever a problem is identified, New Relic will create a GitHub issue with any relevant context, which the developer can then assign to GitHub Copilot … continue reading
According to a recent survey, 40% of software engineering managers anticipate that AI will drastically change the skills needed to be a successful software engineer within the next three years. Unsurprisingly, the widespread adoption of AI code assistants and other Generative AI (GenAI) tools is transforming how organizations develop technical talent and how new software … continue reading
As businesses continue to experiment with AI-powered technologies, it’s likely that the most common use case across industries is one that essentially pre-dates the explosion of interest in generative AI, which is that of the humble chatbot. Anyone who has visited a business website over the last decade will have encountered a chatbot, particularly when … continue reading
Google I/O is happening today, and Google has announced updates across many of its offerings, from Gemini to Colab to Android Studio. Gemini Gemini Diffusion is a new text model that delivers a 4-5x improvement in output speed compared to similar models and similar performance to models twice as large. The company also released Gemma … continue reading
At its annual conference Boomi World 2025, Boomi announced the general availability of Boomi Agentstudio (initially called Boomi AI Studio), an AI agent management solution. With Boomi Agentstudio, developers are given a no-code platform for designing, governing, and orchestrating AI agents. It supports the Model Context Protocol (MCP), an open standard for connecting AI agents … continue reading
As AI can write so many more lines of code more quickly than humans, the need for code review that keeps pace with development is now an urgent necessity. A recent survey by SmartBear – whose early founder, Jason Cohen, literally wrote the book on peer code review – found that the average developer can … continue reading
The growing complexity of modern software development and operations—which includes Kubernetes —is fueling the rise in popularity of platform engineering. As DevOps reaches its limits for managing fragmented toolchains, complex workflows, and sprawling cloud environments, platform engineering helps bring order to the chaos through scalable, self-service infrastructure and standardized developer experiences, with Kubernetes often at … continue reading
Software companies are constantly trying to add more and more AI features to their platforms, and AI companies are constantly releasing new models and features. It can be hard to keep up with it all, so we’ve written this roundup to share several notable updates around AI that software developers should know about. IBM introduces … continue reading
AI agents have been all the rage over the last several months, which has led to a need to come up with a standard for how they communicate with tools and data, leading to the creation of the Model Context Protocol (MCP) by Anthropic. MCP is “an open standard that enables developers to build secure, … continue reading
At its IBM THINK conference today, IBM introduced new updates that will help alleviate some of the challenges associated with scaling AI agents. “The era of AI experimentation is over. Today’s competitive advantage comes from purpose-built AI integration that drives measurable business outcomes,” said Arvind Krishna, chairman and CEO of IBM. “IBM is equipping enterprises … continue reading
Amazon has announced a new agentic coding experience for Amazon Q Developer in Visual Studio Code. “This experience brings interactive coding capabilities, building upon existing prompt-based features. You now have a natural, real-time collaborative partner working alongside you while writing code, creating documentation, running tests, and reviewing changes,” Amazon wrote in a blog post announcing … continue reading
