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
GPT-5.3-Codex-Spark is a lightweight version of the company’s coding model, GPT-5.3-Codex, that is optimized to run on ultra-low latency hardware and can deliver over 1,000 tokens per second.
It is the first outcome of the company’s recently announced partnership with Cerebras to add 750MW of ultra low-latency AI compute. OpenAI says the reason it is being released as a research preview is to provide developers with the opportunity to start benefiting from this partnership while the company continues ramping up Cerabras in its data centers.
“Codex-Spark is our first model designed specifically for working with Codex in real-time—making targeted edits, reshaping logic, or refining interfaces and seeing results immediately. With Codex-Spark, Codex now supports both long-running, ambitious tasks and getting work done in the moment. We hope to learn from how developers use it and incorporate feedback as we continue to expand access,” OpenAI wrote in a post.
GitHub Agentic Workflows allow developers to describe the outcome they want in plain Markdown, add it as an automated workflow to their repository, and have that be executed as a coding agent in GitHub Actions.
Agentic Workflows run as standard GitHub Actions workflows that can have additional guardrails for sandboxing, permissions, control, and review. Additionally, they support a variety of coding agent engines, including Copilot CLI, Claude Code, or OpenAI Codex.
“The use of GitHub Agentic Workflows makes entirely new categories of repository automation and software engineering possible, in a way that fits naturally with how developer teams already work on GitHub,” GitHub wrote in a post.
Conductor is a Gemini CLI extension that helps bring additional development context into the terminal, and the new Automated Review feature generates a post-implementation report after the agent completes its coding tasks. Findings are categorized by severity (low, medium, and high) so that developers can prioritize where to iterate first.
“This level of detail ensures that “agentic” development doesn’t mean ‘unsupervised’ development. Instead, it creates a workflow where the AI provides the labor and the developer provides the high-level architectural oversight, backed by automated verification,” Google wrote in a blog post.
Additionally, Google announced that Gemini CLI extensions will now be able to define settings that the user will be prompted to provide when installing an extension. By providing things like API keys, base URLs, and project identifiers upfront, users will hopefully have fewer configuration errors to troubleshoot when working with the Gemini CLI, the company explained.
According to Google, the upgraded model features improvements across math and programming reasoning, as well as specific scientific domains like chemistry and physics. It available for Google AI Ultra subscribers in the Gemini app, and for select researchers, engineers, and enterprises in the Gemini API for the first time.
“We updated Gemini 3 Deep Think in close partnership with scientists and researchers to tackle tough research challenges — where problems often lack clear guardrails or a single correct solution and data is often messy or incomplete. By blending deep scientific knowledge with everyday engineering utility, Deep Think moves beyond abstract theory to drive practical applications,” Google wrote in a post.
Now available in Visual Studio 2026 v18.3, the testing feature allows developers to generate unit tests within their IDE. The company added new capabilities to coincide with this GA release, including deeper IDE integration, more natural prompting, and new ways to invoke the testing experience.
The team plans to focus next on getting it to handle more advanced testing requests, which will involve addressing requirements like allowing developers to clarify intent, confirm assumptions, and review proposed plans before generating tests.
“General availability is an important milestone, but it is not the end of the journey. We continue to run user studies and gather feedback to understand how developers use GitHub Copilot testing for .NET in real-world scenarios, especially as requests grow in size and complexity,” Microsoft wrote in a blog post.
This latest funding round was led by GIC and Coatue; co-led by D. E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and MGX; and had participation from 30 other investors. As of this round, Anthropic is now valued at $380 billion post-money.
In its announcement, Anthropic also revealed that its run-rate revenue is now $14 billion, and it has grown by 10x every year since its first funding round three years ago.
“Whether it is entrepreneurs, startups, or the world’s largest enterprises, the message from our customers is the same: Claude is increasingly becoming critical to how businesses work,” said Krishna Rao, chief financial officer of Anthropic. “This fundraising reflects the incredible demand we are seeing from these customers, and we will use this investment to continue building the enterprise-grade products and models they have come to depend on.”
AI, anthropic, gemini, GitHub, Google, OpenAI
Jenna Barron is News Editor of SD Times.
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