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AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. AI has made its way into the software development space in a number of ways. Visit the AI article list to expand your AI knowledge.
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Observability is a way for development teams in an organization to view their program state. Failing to provide developers with insight into their tools and processes could lead to unaddressed bugs and even system failures. Read about the latest observability content here
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In the past, the CI/CD pipeline was simply a place to integrate code. Developers would write their code in GitHub, pass it through the pipeline, and then deploy it. The pipeline has become a much more critical piece of the software delivery lifecycle today.
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Modern cloud-native applications, often leverage microservices, containers, APIs, infrastructure-as-code and more to enable speed in app development and deployment
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The Importance of Security Testing
With more development teams today using open-source and third-party components to build out their applications, the biggest area of concern for security teams has become the API. This is where vulnerabilities are likely to arise, as keeping on top of updating those interfaces has lagged.
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Mobile App Testing involves analyzing mobile apps for functionality, usability, visual appeal, and consistency across multiple mobile devices. It helps ensure an optimal user experience, irrespective of the device used to access the app.
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Today’s distributed software environments incorporate a variety of APIs with every interface your software touches, from mobile to microservices. Each API has to be continuously tested and verified to ensure your software functions as it should. Parasoft’s API testing platform makes quick, efficient, and intelligent work of such requirements.
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Ensure your application’s resilience, and make sure your software performs as expected under diverse operating conditions. (sponsored by Parasoft)
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DevSecOps is the DevOps community’s approach to bringing security into the development lifecycle. Businesses want to deliver software, but cannot afford to release unreliable or insecure applications— therefore security needs to be baked in much sooner than it has traditionally been.
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Securing an application is just as important as building it in the first place. As data becomes more valuable, there are more people who want to steal it and use it for their own personal gain. Making sure applications are indeed secure has always been a challenge, as hackers try to stay one step ahead of defenders.
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Secrets are essential for integrating your infrastructure with databases and SaaS services. Doppler‘s developer-first security platform empowers teams to manage, orchestrate, and govern secrets across any environment.
In 2023, there was an 18% decline in the number of open-source projects that are considered to be “actively maintained.” This is according to Sonatype’s Annual State of the Software Supply Chain Report.
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Development Managers need a different type of content than developers… They need to know what platforms, tools, trends, and issues they should be thinking about. SD Times delivers those unique topics here
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Agile software development has been around since the 1990s, but didn’t get the name until the famous meeting of 17 renowned software development thought leaders at Snowbird, Utah resulted in an Agile Manifesto. The idea behind Agile software development is to reduce time to market by enabling faster iterations of smaller segments of software.
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Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of resources, time and assets. It is the practice that truly brings the business side and IT side together as partners in creating value for the organization.
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DevOps is a methodology in the software development and IT industry. Used as a set of practices and tools, DevOps integrates and automates the work of software development and IT operations as a means for improving and shortening the systems development life cycle.
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Gravitee helps organizations manage and secure their entire API lifecycle with solutions for API design, management, security, productization, real-time observability, and more.
AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. AI has made its way into the software development space in a number of ways. Visit the AI article list to expand your AI knowledge.
Learn More
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of resources, time and assets. It is the practice that truly brings the business side and IT side together as partners in creating value for the organization.
Learn More
Skills—a capability that allows users to teach Claude repeatable workflows—was first introduced in October, and now the company is making it an open standard. “Like MCP, we believe skills should be portable across tools and platforms—the same skill should work whether you’re using Claude or other AI platforms,” the company wrote in a blog post.
Additionally, the company announced a directory of pre-built skills from companies like Notion, Canva, Figma, and Atlassian.
Other new features, which vary by plan, include the ability to provision skills from admin settings and easier methods for creating and editing skills.
This is a version of GPT-5.2 that is optimized for the company’s coding agent Codex. It includes “improvements on long-horizon work through context compaction, stronger performance on large code changes like refactors and migrations, improved performance in Windows environments, and significantly stronger cybersecurity capabilities,” OpenAI wrote in a post.
GPT-5.2-Codex is available across all Codex surfaces for paid ChatGPT users and is planned to be added to the API in the coming weeks after more safety improvements are made. The company also announced that it is piloting a new invite-only program where it gives access to new capabilities and more permissive models for vetted professionals and organizations in the cybersecurity space.
“By rolling GPT‑5.2-Codex out gradually, pairing deployment with safeguards, and working closely with the security community, we’re aiming to maximize defensive impact while reducing the risk of misuse. What we learn from this release will directly inform how we expand access over time as the software and cyber frontiers continue to advance,” OpenAI wrote.
Google has announced the release of Gemini 3 Flash, its latest frontier model designed for speed at a lower token cost.
According to Google, this model is ideal for iterative development, as it is able to quickly reason and solve tasks in high-frequency workflows. It also outperforms all Gemini 2.5 models as well as Gemini 3 Pro in coding capabilities on SWE-bench Verified.
Additionally, due to its strong performance in reasoning, tool use, and multimodal capabilities, it is ideal for tasks like complex video analysis, data extraction, and visual Q&A, enabling more intelligent applications that demand advanced reasoning and quick answers, like in-game assistants or A/B test experiments.
Zencoder is introducing its Zenflow desktop app in an attempt to help development teams transition from vibe coding to AI-First Engineering.
According to the company, AI coding has hit a ceiling due to LLMs producing code that looks correct but fails in production or gets worse as it is iterated on.
Zenflow introduces an AI Orchestration layer to turn “chaotic model interactions into repeatable, verifiable engineering workflows.”
This orchestration layer is based on four pillars:
Google has announced a new project that aims to leverage generative AI to build contextually relevant UIs.
A2UI is an open source tool that generates UIs based on the current conversation’s needs. For example, an agent designed to help users book restaurant reservations would be more useful if it featured an interface to input the party size, date and time, and dietary requirements, rather than the user and agent going back and forth discussing that information in a regular conversation. In this scenario, A2UI can help generate a UI with input fields for the necessary information to complete a reservation.
“With A2UI, LLMs can compose bespoke UIs from a catalog of widgets to provide a graphical, beautiful, easy to use interface for the exact task at hand,” Google wrote in a blog post.
Generative Simulators are simulation environments that can create new tasks and scenarios, update the rules of the world over time, and evaluate an agent’s actions as it learns.
The company additionally announced a new training method called Open Recursive Self-Improvement (ORSI) that allows agents to improve through interaction and feedback without requiring a full retraining cycle between attempts.
“Traditional benchmarks measure isolated capabilities, but they miss the interruptions, context switches, and multi-layered decision-making that define actual work,” said Anand Kannappan, CEO and co-founder of Patronus AI. “For agents to perform tasks at human-comparable levels, they need to learn the way humans do – through dynamic, feedback-driven experience that captures real-world nuance.”
GPT-5.2 is optimized for professional knowledge work, scoring a 70.9% (using GPT-5.2 Thinking) on knowledge work tasks on the GDPval benchmark, compared to just 38.8% for GPT-5.1 Thinking.
The company has started rolling out GPT-5.2 in ChatGPT today, with Instant, Thinking, and Pro modes, starting with paid plans. It is also available in the OpenAI API for all developers.
“Overall, GPT‑5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision—making it better at executing complex, real-world tasks end-to-end than any previous model,” the company said.
Gemini 2.5 Flash Native Audio improves the model’s ability to handle complex workflows, navigate user instructions, and hold natural conversations.
It is now available in Google AI Studio and Vertex AI, as well as being incorporated into Google’s user-facing products like Gemini Live and Search Live.
The company also announced live speech translation in the Google Translate app, which allows speech to be translated in real-time while preserving speaker intonation, pacing, and pitch. It supports over 70 languages and 2000 language pairs.
“For two-way conversation, Gemini’s live speech translation handles translation between two languages in real-time, automatically switching the output language based on who is speaking. For example, if you speak English and want to chat with a Hindi speaker, you’ll hear English translations in real-time in your headphones, while your phone broadcasts Hindi when you’re done speaking,” the company explained.
Another update from Google this week was the beta release of the Interactions API, an interface for working with Google’s models and agents like Gemini Deep Research.
“The Gemini Interactions API represents a major step forward in how we model AI communication. Whether you are building custom agents from scratch using any framework like the ADK or connecting existing agents together via A2A, this is a new set of capabilities to start exploring today,” the company wrote in a blog post.
Devstral 2 is the company’s latest open source coding model, and it is available in two different sizes: Devstral 2 (123B) and Devstral Small 2 (24B).
The company also released Mistral Vibe CLI, an open-source command-line coding assistant that leverages Devstral. It can explore and modify a developer’s codebase using natural language from the terminal or an IDE. Key features include project-aware context, smart references, multi-file orchestration, persistent history, autocompletion, and customizable themes.
The Linux Foundation today announced that it is forming the Agentic AI Foundation (AAIF) to promote transparent and collaborative evolution of agentic AI.
Three major projects have been donated to the foundation at launch: Anthropic’s Model Context Protocol (MCP), Block’s goose, and OpenAI’s AGENTS.md.
“Donating MCP to the Linux Foundation as part of the AAIF ensures it stays open, neutral, and community-driven as it becomes critical infrastructure for AI,” said Mike Krieger, chief product officer at Anthropic. “We remain committed to supporting and advancing MCP, and with the Linux Foundation’s decades of experience stewarding the projects that power the internet, this is just the beginning.”
Progress Software announced the latest releases of its Telerik and Kendo UI products, which both include an Agentic UI Generator that can create multi-component, fully styled, enterprise-grade page layouts.
The Agentic UI Generator is currently available for Progress Telerik UI for Blazor, Progress KendoReact, and Progress Kendo UI for Angular.
“With today’s release, AI-based code generation is now enterprise-ready, providing new horizons for UI development,” said Loren Jarrett, EVP and GM of digital experience at Progress Software. “Instead of simply generating code with AI that requires review and revision, with the Agentic UI Generator, developers can now build production-ready interfaces based on best practices from simply a prompt. This marks an important milestone—not just for Telerik and Kendo UI, but for how modern applications will be built going forward.”
Spatial intelligence company Wherobots announced the launch of a private preview of RasterFlow, a satellite image preparation and inference solution that will make it easier to gain insights from that type of data.
“RasterFlow is a new compute engine that is going to help feed data about the physical world to all sorts of different types of applications, but then also make it so that we can process it and serve other applications as well,” said Ben Pruden, head of go-to-market at Wherobots.
By streamlining this process, customers will be able to run AI models on physical world data to get answers to physical world questions, such as predicting fields and their boundaries from an overhead view of farmland.
As AI coding assistants churn out ever greater amounts of code, the first – and arguably most painful – bottleneck that software teams face is code review. A company called Augment Code, which has developed an AI code assistant, announced a Code Review Agent to relieve that pressure and improve flow in the development life cycle.
Guy Gur-Ari, Augment Code co-founder and chief scientist, explained that a key differentiator from other code assistants is that the Code Review Agent works at a higher semantic level, making the agent almost a peer to the developer.
“You can talk to it at a very high level. You almost never have to point it to specific files or classes,” he said in an interview with SD Times. “You can talk about, oh, add a button that looks like this in this page, or explain the lifetime of a request through our system, and it will give you good answers, so you can stay at this level and just get better results out of it.”
Bun is a JavaScript, TypeScript, and JSX toolkit, and Anthropic plans to incorporate it into Claude Code to improve performance and stability and enable new capabilities.
“Bun is redefining speed and performance for modern software engineering and development. Founded by Jarred Sumner in 2021, Bun is dramatically faster than the leading competition. As an all-in-one toolkit—combining runtime, package manager, bundler, and test runner—it’s become essential infrastructure for AI-led software engineering, helping developers build and test applications at unprecedented velocity,” Anthropic wrote in a post.
GPT-5.1-Codex-Max is the company’s latest frontier agentic coding model, and it is faster, more intelligent, and uses fewer tokens than the base GPT-5.1-Codex.
OpenAI also announced that developers can now delegate tasks from Linear to Codex. They can assign or mention Codex in an issue to trigger it, and then as Codex works through the task, it posts updates back to Linear.
Google is adding a Data Commons extension to the Gemini CLI to make it easier for developers to access and interact with publicly available data.
Data Commons is a large library of public data from around the world, gathered from sources like the United Nations, the World Bank, and a number of government agencies.
The new extension can be used to ask questions like “What are some interesting statistics about India?” or “Analyze the impact of education expenditure on GDP per capita in Scandinavian countries” directly in the CLI.
Nova Forge allows developers to build their own frontier models using Nova models. Users can combine their own datasets with Amazon Nova-curated training data, and then host their models on AWS.
Nova Act is a new service that helps developers build, deploy, and manage fleets of agents for UI workflows.
Finally, Nova 2 Lite is a fast and cost-effective reasoning model that supports extended thinking, and Nova 2 Sonic is a speech-to-speech model for building voice interactivity.
The new models include ones from Google, Mistral, NVIDIA, OpenAI, Moonshot AI, MiniMax AI, and Qwen. These include the four newest models from Mistral, which are only available on Bedrock: Mistral Large 3, Ministral 3 3B, Ministral 3 8B, and Ministral 3 14B.
“With this launch, Amazon Bedrock now provides nearly 100 serverless models, offering a broad and deep range of models from leading AI companies, so customers can choose the precise capabilities that best serve their unique needs,” the company wrote in a blog post.
First previewed at embedded world North America last month, the updates include agentic AI workflows, static analysis for CUDA C/C++, and improved support for GoogleTest.
Parasoft’s MCP server allows AI agents to be connected to C/C++test to automatically fix violations, optimize rule sets, and generate documentation.
“This is what AI developers actually want—one that acts as a true partner,” said Igor Kirilenko, chief product officer at Parasoft. “By automating the heavy lifting, it frees up your experts to focus on more complex challenges, turning quality and compliance from a burden into their greatest advantage.”
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Jenna Barron is News Editor of SD Times.
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