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.
While the industry is racing to develop and implement artificial intelligence into its systems, cultural resistance, a skills gap, and the speed with which AI is changing are just a few of the factors why many AI projects fail. Because of that, most attempts at adopting AI into organizations never make it past the pilot … continue reading
Mistral announces new connectors, Memories Mistral announced that its generative AI chat Le Chat now connects with over 20 new connectors, including tools like Asana, Atlassian, Box, Databricks, GitHub, Outlook, Snowflake, Stripe, and Zapier. Users will also now be able to add their own connectors via MCP. The company also announced a beta for Memories, … continue reading
Most reports comparing AI models are based on benchmarks of performance, but a recent research report from Sonar takes a different approach: grouping different models by their coding personalities and looking at the downsides of each when it comes to code quality. The researchers studied five different LLMs using the SonarQube Enterprise static analysis engine … continue reading
Cloudsmith, providers of an artifact management platform, announced its ML Model Registry, which can act as a single source of truth for all AI models and datasets a company is using. The registry integrates with the Hugging Face Hub and SDK so that developers can push, pull, and manage models and datasets from Hugging Face … continue reading
Talk to any DevOps vendor today, and they’ll proudly tell you about their AI roadmap. Most vendors have already built something that will tick the checkbox, if that’s among your requirements. But checkboxes don’t solve problems. A feature that’s hard to use or adds extra manual steps to a developer’s processes doesn’t save you anything … continue reading
Anthropic starts testing a Claude extension for Chrome The extension will enable Claude to take action on websites on behalf of the user. “We’ve spent recent months connecting Claude to your calendar, documents, and many other pieces of software. The next logical step is letting Claude work directly in your browser,” the company says. The … continue reading
GitHub has added a new panel to its UI that enables developers to invoke the Copilot coding agent from anywhere on the site. The coding agent was launched a few months ago, allowing developers to assign an issue to it and have it work in the background and create a draft pull request. The functionality … continue reading
Codeglide.ai, a subsidiary of the DevOps company Opsera, is launching its MCP server lifecycle platform that will enable developers to turn APIs into MCP servers. The solution constantly monitors API changes and updates the MCP servers accordingly. It also provides context-aware, secure, and stateful AI access without the developer needing to write custom code. According … continue reading
For decades, software testing has been built on a simple idea: humans write tests, machines run them. That model has persisted since the first commercial recorders appeared in the mid-1990s. Testers would record a flow, edit a script, maintain it as the application evolved, and repeat the cycle endlessly. Tools improved incrementally, but the basic … continue reading
Anthropic expands Claude Sonnet 4’s context window to 1M tokens With this larger context window, Claude can process codebases with 75,000+ lines of code in a single request. This allows it to better understand project architecture, cross-file dependencies, and make suggestions that fit with the complete system design. Longer context windows are now in beta … continue reading
Application monitoring company Sentry is making it easier to gain visibility into MCP servers with the launch of a new monitoring tool. With MCP monitoring, developers can understand things like which clients are experiencing errors, which tools are most used, or which tools are running slow. They can also correlate errors with events like traffic … continue reading
Google is enhancing its AI coding agent, Jules, with new functionality that reviews and critiques code while Jules is still working on it. “In a world of rapid iteration, the critic moves the review to earlier in the process and into the act of generation itself. This means the code you review has already been … continue reading
