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. 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. Google announces … continue reading
AI agents are not just making developers more productive, they’re transforming the way developers are using AI to build software. According to Emilio Salvador, vice president of strategy and developer relations at GitLab, the first wave of AI capabilities for developers, like GitHub Copilot or GitLab Duo, were reactive tools for helping developers do tasks … continue reading
Google Cloud Next 25 is taking place today, and Google has announced a number of new announcements, mainly related to enhancing Gemini offerings and making it easier to build and adopt agents. Here are a couple of highlights from the event: New tools for building AI agents The company announced the Agent Development Kit (ADK), … continue reading
Solo.io has announced the launch of its MCP Gateway, a Model Context Protocol gateway for the cloud native API gateway kgateway (previously called Gloo). MCP is an open protocol developed by Anthropic that provides a standard for how applications connect data sources and tools to LLMs. According to Solo.io, as MCP adoption continues to grow, … continue reading
Kong has announced updates to its AI Gateway, a platform for governance and security of LLMs and other AI resources. One of the new features in AI Gateway 3.10 is a RAG Injector to reduce LLM hallucinations by automatically querying the vector database and inserting relevant data to ensure the LLM is augmenting the results … 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 March. Google releases reasoning model Gemini 2.5, its “most intelligent AI model” yet Gemini 2.0 Flash Thinking … 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. Google releases … continue reading
Akamai has announced the launch of Akamai Cloud Inference, a new solution that provides tools for developers to build and run AI applications at the edge. According to Akamai, bringing data workloads closer to end users with this tool can result in 3x better throughput and reduce latency up to 2.5x. “Training an LLM is … continue reading
Google has announced the release of Gemini 2.5, which is a new reasoning model that the company claims is its “most intelligent AI model” yet. “Gemini 2.5 models are thinking models, capable of reasoning through their thoughts before responding, resulting in enhanced performance and improved accuracy. In the field of AI, a system’s capacity for … continue reading
Google is making it easier for developers to collaborate with Gemini with the launch of Canvas, an interactive space to create and refine code. Canvas could be used to build reports, blog posts, study guides, visual timelines, interactive prototypes, code snippets, and more. The new tool makes it easier for users to refine their work, … 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 10 notable updates around AI that software developers should know about. Google announces … continue reading
The birth of China’s DeepSeek AI technology clearly sent shockwaves throughout the industry, with many lauding it as a faster, smarter and cheaper alternative to well-established LLMs. However, similar to the hype train we saw (and continue to see) for the likes of OpenAI and ChatGPT’s current and future capabilities, the reality of its prowess … continue reading
