Articles about Development

Although 63 percent of organizations claim their architecture is integrated throughout development (from design to deployment and beyond), a new study shows more than half (56 percent) have documentation that doesn't match the architecture in production.

The research from vFunction shows the impact of this architecture disconnect has potentially resulted in project delays (53 percent), security or compliance challenges (50 percent), scalability limitations (46 percent), and reduced engineering team productivity (28 percent).

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A new study from Backslash Security looks at seven current versions of OpenAI's GPT, Anthropic's Claude and Google's Gemini to test the influence varying prompting techniques have on their ability to produce secure code.

Three tiers of prompting techniques, ranging from 'naive' to 'comprehensive,' were used to generate code for everyday use cases. Code output was measured by its resilience against 10 Common Weakness Enumeration (CWE) use cases. The results show that although secure code output success rises with prompt sophistication all LLMs generally produced insecure code by default.

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Security teams know they need to test their main applications, but they often struggle to identify which other assets to cover. On average, organizations can miss testing nine out of 10 of their complex web apps.

Security testing platform Detectify is announcing the launch of its new Asset Classification and Scan Recommendations capabilities which enable organizations to easily identify and swiftly act on their complex web applications.

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A new report from API and AI security solutions company Wallarm finds that of around 4,700 security issues analyzed in Agentic AI projects, 49 percent were API-related, underscoring the inseparable nature of agent and API security.

The report also finds that over 1,000 issues in Agentic AI repositories remain unaddressed. 22 percent of reported security issues remain open too, with some lingering for 1,200-plus days, highlighting a critical gap between vulnerability discovery and remediation.

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In today's fast-paced digital landscape, many product teams are under pressure to deliver payment solutions faster while ensuring accessibility and security across platforms.

To help address these industry needs, payments company Visa is announcing today that for the first time its Visa Product Design System (VPDS), an all-encompassing platform within the Visa technology stack designed to improve the product design and development process, will be publicly available.

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AI and machine learning tools have had an important role in software development for many years, helping to drive efficiency and automation. The new generation of AI tools has the potential to supercharge this transformation, bringing even greater improvements to efficiency, cost-effectiveness, and innovation cycles.

However, these tools also come with new risks, including security vulnerabilities, governance challenges, and regulatory uncertainty. As with any new technological approach, organizations bringing new AI tools and specifically AI-generated code into their development lifecycles must balance benefits with the potential risks.

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Software engineering organizations often grapple with challenges that hinder their output -- including productivity blind spots, duplicate work, deadlines that don't stand a chance, burnout, and other hidden costs that eat up time and energy.

And while metrics can signal a problem, they don't always uncover the root cause or -- more importantly -- how to fix it. To explore this, we spoke to Joe Levy, CEO of Uplevel, an engineering optimization system helping developers independently measure the ROI of AI adoption.

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According to a new study, 76 percent of tech leaders say that AI will make their existing low-code/no-code tools more efficient instead of replacing them altogether.

The survey from App Builder, with third-party research firm Dynata, finds use of low-code and no-code tools have steadily increased over the past decade and become an integral piece of how 95 percent of teams now build scalable applications.

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Managing and securing the software supply chain end-to-end is vital for delivering trusted software releases.

But a new report from JFrog finds emerging software security threats, evolving DevOps risks and best practices, and potentially explosive security concerns in the AI era.

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Over 70 percent of developers and quality assurance professionals responding to a new survey say their organization is currently developing AI applications and features, with 55 percent stating that chatbots and customer support tools are the main AI-powered solutions being built.

The research from Applause surveyed over 4,400 independent software developers, QA professionals and consumers explored common AI use cases, tools and challenges, as well as user experiences and preferences.

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Blockchain technology has often been touted as a game changer for the security of transactions in different fields.

However, many organizations still don't full appreciate its value or how to incorporate it into their applications. We spoke to Lee Jacobson, senior vice president business development Web3 at video game commerce company Xsolla to find out about how blockchain implementation can be made easier.

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The latest Reveal survey from Infragistics into development concerns shows security (51 percent), AI code reliability (45 percent), and data privacy (41 percent) among their biggest software development challenges for 2025.

AI continues to be a major focus, with 73 percent of tech leaders citing expanding the use of AI within organizations as their top priority for 2025.

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A disconnect between FinOps and development teams is leading to wasted spend on cloud infrastructure costs according to 52 percent of engineering leaders.

Research from software delivery platform Harness finds developers have limited insight into cloud waste. Fewer than half of respondents say they have access to real time data on idle cloud resources (43 percent), unused or orphaned resources (39 percent), and over or under-provisioned workloads (33 percent).

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New research from Apiiro shows that while AI code assistants are accelerating development times they're also increasing risks.

AI code assistants have seen rapid adoption since the launch of ChatGPT in November 2022. Microsoft reports that more than 150 million developers now use GitHub Copilot, up 50 percent over the past two years.

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A surge in API adoption, driven by the need for organizations to modernize infrastructures and unlock new revenue streams, is contributing to the rise in API security risk according to a new report.

The study from Salt Security finds 99 percent of respondents encountered API security issues within the past 12 months and 55 percent slowed the rollout of a new application due to API security concerns.

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