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.
Anthropic today announced that the recent memory feature in Claude is being rolled out to Pro and Max plan users, making it available to all paid users now. Memory was initially announced in early September, but was only available to Team and Enterprise users to begin with. Memory allows Claude to remember your projects and … continue reading
I spent decades mastering software architecture, only to discover that 70% of my hard-won expertise could now be delivered by AI in seconds. This should have terrified me. Instead, it set me free. Let me back up. I started my career as a software engineer and quickly progressed through the ranks to architect. Around the … continue reading
Red Hat is helping development teams speed up their workflows with the launch of a new portfolio of generative AI solutions called Red Hat Developer Lightspeed. “As the business world moves toward more specialized, domain-specific AI assistants, the demand for raw generative power evolves to delivering trustworthy, reliable and contextually relevant assistance. Red Hat Developer … continue reading
GitKraken, a company that specializes in improving the developer experience, today announced the launch of GitKraken Insights to provide companies with better insights into AI’s impact on developer productivity. According to the company, while many engineering teams have adopted AI at this point, it is still a challenge to prove AI’s ROI. GitKraken also believes … continue reading
MariaDB’s Enterprise Platform 2026 release was announced today, with the promise that it will act as “the definitive database platform for building next-generation intelligent applications.” According to MariaDB, this latest release combines transactional, analytical, and vector databases into a single database platform. To support agentic AI, the company added native RAG for grounding LLMs with … continue reading
Sonar, a company that specializes in code quality, today announced a new solution that will improve how LLMs are trained for coding purposes. According to the company, LLMs that are used to help with software development are often trained on publicly available, open source code containing security issues and bugs, which become amplified throughout the … continue reading
AI is quickly becoming pervasive in software development and is changing the way developers build software. However, many enterprises have not invested in the key building blocks to sufficiently leverage this new technology. Software engineering leaders who fail to focus on the foundations of the AI-native era risk dooming their companies to irrelevance while faster, … continue reading
For many years, the DORA metrics were the gold standard when it came to measuring software development performance, but according to JetBrains State of Developer Ecosystem 2025 report, developers today want to be measured on more than just technical metrics. DORA tracks four metrics: frequency of deployments, amount of time between acceptance and deployment, frequency … continue reading
Oracle has announced the launch of a new marketplace to help customers find and deploy validated AI agents that can be used within Oracle Fusion Applications, its suite of cloud-based modular business applications. The AI Agent Marketplace includes agent templates built by Oracle partners to help with various business processes, including finance, HR, supply chain, … continue reading
Anthropic has announced the release of Claude Haiku 4.5, which provides similar coding performance to Claude Sonnet 4, but is twice as fast and one-third as expensive. This follows the release of Claude Sonnet 4.5 two weeks ago, which Anthropic claimed as “the best coding model in the world” when it was announced. Claude Haiku … continue reading
Salesforce—ahead of its Dreamforce 2025 conference this week—announced the general availability of Agentforce 360, its agentic AI platform. Agentforce was first introduced last October, and over the last year, the company has added several new capabilities to the platform, such as the ability to embed agents in workflows and improved interoperability and governance. “These milestones … continue reading
Google is announcing a new offering built around Gemini, designed specifically with large enterprise use in mind. Gemini Enterprise consolidates six core components: Advanced Gemini models A no-code workbench for analyzing information and orchestrating agents Pre-built Google agents for tasks like deep research or data insights The ability to connect to company data A central … continue reading
