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.
Companies are planning to invest more heavily in AI skills and security governance, risk, and compliance initiatives this upcoming year, according to new research from O’Reilly. The company’s Technology Trends for 2025 report analyzed data from 2.8 million users on its learning platform. The research shows significant increases in interest in various AI skills, including … continue reading
AI has the potential to speed up the software development process, but is it possible that it’s adding additional time to the process when it comes to the long-term maintenance of that code? In a recent episode of the podcast, What the Dev?, we spoke with Tanner Burson, vice president of engineering at Prismatic, to … continue reading
High-quality data is the key to a successful AI project, but it appears that many IT leaders aren’t taking the necessary steps to ensure data quality. This is according to a new report from Hitachi Vantara, the State of Data Infrastructure Survey, which includes responses from 1,200 IT decision makers from 15 countries. The report … continue reading
GitHub has announced a free tier of GitHub Copilot to expand the platform’s reach to more developers. “We couldn’t be more excited to make Copilot available to the 150M developers on GitHub,” Thomas Dohmke, CEO of GitHub, wrote in a post. The free tier provides access to 2,000 code completions and 50 chat messages per … continue reading
OpenAI announced several new capabilities for developers, including the availability of OpenAI o1 in the API and updates to the Realtime API. OpenAI o1 is the company’s reasoning model for complex multi-step tasks, and it has begun rolling out to developers on the API’s usage tier 5. Some key capabilities enabled by o1 include function … continue reading
The AI coding assistant provider Tabnine today announced a new feature, Code Provenance and Attribution, to protect companies from unintentionally adding restrictively licensed code into their codebase when using generative AI to write code. The new feature checks AI-generated code against public GitHub repositories to find matches, and flags the license type of the original … continue reading
JetBrains has released its annual State of Developer Ecosystem report, highlighting the trends across software development. This year the report includes a new section called the Language Promise Index, which ranks languages by growth, stability, and adoption willingness. Across the board since 2017, JavaScript has topped the list, with 61% of users programming in that … continue reading
The data information and analytics company LexisNexis today announced the launch of Nexis Data+, a new API that provides access to corporate, legal, financial, and compliance data, as well as generative AI-approved licensed news content. Developers and data analysts will be able to integrate that data into their existing tools, platforms, AI models, and workflows … continue reading
OpenAI has announced the release of its Usage API, which provides developers with insights into activity across the OpenAI API, allowing them to better track costs. Developers can monitor token usage by the minute, hour, or day, and filter usage by invoice line item, API key, project ID, user ID, model, and more. The Usage … continue reading
Piling on to the list of announcements from Amazon at AWS re:Invent, the company announced Amazon Nova, a family of foundation models that promise “frontier intelligence and industry leading price performance.” They can handle typical generative AI tasks, such as analyzing documents and videos, understanding charts, generating video content, or building advanced AI agents. “Whether … continue reading
The AI platform Clarifai is attempting to make it easier for companies to leverage their existing cloud and hardware investments for AI. Clarifai already offers tools to assist throughout the whole AI lifecycle, including data labeling, training, evaluation, workflows, and feedback. Now in public preview, Compute Orchestration provides companies with a single control plane for … continue reading
At AWS re:Invent, Amazon announced a number of new capabilities for generative AI and machine learning. New evaluations for Amazon Bedrock Two new evaluation capabilities have been added to Amazon Bedrock, which is the company’s platform for building generative AI applications using foundation models. Amazon Bedrock Knowledge Bases now offer support for RAG evaluation (still … continue reading
