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
Claude Opus 4.6 is the latest version of the company’s most powerful class of AI models. Anthropic says that this release improves on Opus’ coding skills, and it now plans more carefully, sustains agent tasks for longer, can run more reliably in larger codebases, and has better code review and debugging skills, helping it to more effectively catch its own mistakes.
In addition to coding improvements, Claude Opus 4.6 also features improved abilities in tasks like running financial analyses, doing research, and using and creating documents, spreadsheets, and presentations.
It also features a 1M context window (beta), which is a first for Opus models, Anthropic said.
The latest version of OpenAI’s coding agent builds on the coding performance of the previous release as well as the reasoning and knowledge capabilities of GPT-5.2. It is capable of tackling long-running tasks involving research, tool use, and complex execution.
OpenAI also noted that GPT-5.3-Codex is the company’s first model that helped to create itself, as the team used early versions of it to troubleshoot training, manage deployment, and diagnose test results and evaluations.
It is now available through paid ChatGPT plans wherever Codex is enabled, including the app, CLI, IDE extension, and web, and API access will be enabled shortly.
The Developer Knowledge API allows developers to search and retrieve documentation for Google’s services in Markdown. This includes documentation from firebase.google.com, developer.android.com, docs.cloud.google.com, and more.
Google is re-indexing all of its documentation within 24 hours of a service being updated to ensure that developers can stay up-to-date with information related to the latest releases.
In addition to the Developer Knowledge API, Google is releasing a related MCP server to enable development teams to connect it to their IDEs and AI coding assistants. The company explained this can enable more advanced capabilities as developers are writing code, such as being able to ask the best way to implement push notifications in Firebase, check the docs to find the best way to fix a specific error, or compare two different services for a particular use case.
Apple is enabling agentic coding within Xcode in the latest version of the development platform (version 26.3).
Developers will now be able to use Anthropic’s Claude Agent and OpenAI’s Codex directly in Xcode.
“With seamless access to Claude Agent and Codex, developers can bring the advanced reasoning of these models directly into their app-building workflow. This connection combines the power of these agents with Xcode’s native capabilities to provide the best results when developing for Apple platforms, giving developers the flexibility to work with the model that best fits their project,” Apple wrote in an announcement.
Opsera is releasing several new agents as a part of its Agentic DevOps offering that proactively manage DevOps workflows in an attempt to address some of the bottlenecks introduced by AI-assisted coding.
According to a recent report from the company, AI-assisted coding can speed up metrics like Time-to-Pull Request or test pass rate, but it is also subject to bottlenecks that slow delivery down, such as longer PR review times. For example, the company found that AI-assisted workflows had a 48-58% faster average Time-to-Pull Request, but that AI-generated pull requests wait 4.6x as long to be reviewed compared to human-written ones.
Opera also found that AI-generated code suffered from issues like increased code duplication (13.5% vs 10.5%) and security vulnerabilities (15-18% more) compared to human-written code.
The two companies will work on building customized AI solutions for their joint customers. Additionally, OpenAI’s models will be natively available on Snowflake Cortex AI across the three major cloud providers, and will also be accessible through Snowflake Intelligence.
“By bringing OpenAI models to enterprise data, Snowflake enables organizations to build and deploy AI on top of their most valuable asset using the secure, governed platform they already trust,” said Sridhar Ramaswamy, CEO of Snowflake. “Customers can now harness all their enterprise knowledge in Snowflake together with the world-class intelligence of OpenAI models, enabling them to build AI agents that are powerful, responsible, and trustworthy. Together, we’re setting a new standard for AI innovation, helping businesses transform with confidence, while maintaining strong security and compliance standards.”
anthropic, Google, OpenAI, opsera, Snowflake, Xcode
Jenna Barron is News Editor of SD Times.
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