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.
IBM is releasing a family of AI agents (IBM SWE-Agent 1.0) that are powered by open LLMs and can resolve GitHub issues automatically, freeing up developers to work on other things rather than getting bogged down by their backlog of bugs that need fixing. “For most software developers, every day starts with where the last … continue reading
Opsera, the Unified DevOps platform powered by Hummingbird AI trusted by top Fortune 500 companies, today announced that it has partnered with Databricks, the Data and AI company, to empower software and DevOps engineers to deliver software faster, safer and smarter through AI/ML model deployments and schema rollback capabilities. Opsera leverages its DevOps platform and … continue reading
The AI coding assistant provider Tabnine is releasing a private preview for its Code Review Agent, a new AI-based tool that validates software based on the development team’s unique best practices and standards for software development. According to Tabnine, using AI to review code is nothing new, but many of the tools currently available check … continue reading
GitHub is hosting its annual user conference, GitHub Universe, today and tomorrow, and has announced a number of new AI capabilities that will enable developers to build applications more quickly, securely, and efficiently. Many of the updates were across GitHub Copilot. First up, GitHub announced that users now have access to more model choices thanks … continue reading
The explosion in interest in AI, particularly generative AI, has had many positive benefits: increased productivity, easier and faster access to information, and often a better user experience in applications that have embedded AI chatbots. But for all its positives, there is one huge problem that still needs solving: how do we power it all? … continue reading
Google is making it easier for companies to build generative AI responsibly by adding new tools and libraries to its Responsible Generative AI Toolkit. The Toolkit provides tools for responsible application design, safety alignment, model evaluation, and safeguards, all of which work together to improve the ability to responsibly and safely develop generative AI. Google … continue reading
DevOps platform provider Opsera today announced AI Code Assistant Insights, empowering enterprises to improve developer productivity, impact, time savings and accelerate the ROI of their investment in AI Code Assistants. “IDC research finds that on average, developers estimate a 35% increase in their productivity with the use of an AI coding assistant. However, it is … continue reading
Anthropic has a number of updates to share about its AI models, including an updated version of Claude 3.5 Sonnet, the release of Claude 3.5 Haiku, and a public beta for a capability that enables users to instruct Claude to use computers as a human would. The new version of Claude 3.5 Sonnet features improvements … continue reading
IBM has announced the third-generation of its open source Granite LLM family, which features a number of different models ideal for various use cases. “Reflecting our focus on the balance between powerful and practical, the new IBM Granite 3.0 models deliver state-of-the-art performance relative to model size while maximizing safety, speed and cost-efficiency for enterprise … continue reading
Microsoft is continuing to improve generative AI across Windows with new updates to Microsoft 365 Copilot. The company has announced that the ability for users to create their own autonomous agents in Copilot Studio is moving from private to public preview next month. Agents can be triggered by specific events and act on their own, … continue reading
Gemini users will now be able to more easily select the model that fits their requirements by using Google AI Studio’s new Compare Mode. “As a developer, you understand the critical tradeoffs involved in model selection, such as cost, latency, token limits, and response quality. Compare Mode simplifies this process by allowing you to evaluate … continue reading
Endor Labs is trying to help companies select more secure open source models with the release of Endor Scores for AI Models. The new scoring system evaluates AI models on Hugging Face using 50 metrics related to security, popularity, quality, and activity. The company had previously developed a scoring system for open source packages in … continue reading
