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.
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
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 April. Anthropic announces Integrations for Claude Integrations allows users to connect apps and tools to Claude using … continue reading
JetBrains has announced that its code completion LLM, Mellum, is now available on Hugging Face as an open source model. According to the company, Mellum is a “focal model,” meaning that it was built purposely for a specific task, rather than trying to be good at everything. “It’s designed to do one thing really well: … continue reading
The shift towards decentralized architectural landscapes, driven by the popularity of microservices, cloud-native technologies, and agile development, presents significant challenges for traditional, centralized API governance models. In modern enterprises, applications are powered by APIs that are developed by distributed and independent teams. This necessitates a paradigm shift in how API governance is approached in such … continue reading
When the Agile Manifesto was signed in 2001, its authors couldn’t have imagined how artificial intelligence would eventually reinforce and radically extend their principles. Two decades later, AI isn’t just changing how we write code—it’s transforming the fundamental nature of software development itself. Agile methodologies emerged as a response to the rigid, documentation-heavy “waterfall” approach … 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. Docker MCP … continue reading
Cloud native application networking company Solo.io today announced Agent Gateway, an open source data plane optimized for agentic AI connectivity in any environment. Agent Gateway provides drop-in security, observability, and governance for agent-to-agent and agent-to-tool communication and supports leading interoperable protocols, including Agent2Agent (A2A) and Model Context Protocol (MCP). When developing and deploying AI agents, organizations face the … continue reading
Zencoder, a company that provides an AI coding agent, has announced that it acquired another company in the AI coding agent business: Machinet. According to Zencoder, this acquisition will solidify the company’s position in the AI coding assistant market and enable it to expand its multi-integration ecosystem into more development environments. Machinet is a plugin … continue reading
Docker is introducing new MCP-related offerings to provide developers with tools for working with the Model Context Protocol (MCP). Coming in May, Docker MCP Catalog will be a marketplace where developers can discover verified and curated MCP tools. The company partnered with several companies to build the catalog, including Stripe, Elastic, Heroku, Pulumi, Grafana Labs, … continue reading
The integration of AI into the software development life cycle has brought many benefits, but it’s also brought change to the software development role. In the latest episode of our podcast, What the Dev, we interviewed Antje Barth, principal developer advocate for generative AI at AWS, about these changes and the new skills developers need. … continue reading
JetBrains has been adding several AI offerings to its portfolio over the past few years, including AI Assistant and its AI agent Junie. Now, the company is announcing that all of those AI tools will be available under a single subscription. As part of this announcement, the company said that it will offer a free … continue reading
