New Red Hat Enterprise Linux for Business Developers is available for free


Linux stalwart Red Hat has announced the general availability of Red Hat Enterprise Linux for Business Developers. Designed for enterprise development use, the new platform is free of charge as Red Hat seeks to make things easier and more accessible for business development teams.
The new self-service offering is made available through the Red Hat Developer Program with the aim of simplifying an increasingly complex IT landscape. Red Hat is looking to assist development teams in building, testing and iterating on applications more quickly and on the same platform that underpins production systems across the hybrid cloud at no cost.
Decentralization and why it's a turning point for tech [Q&A]


Mainstream developers and users are increasingly seeking alternatives to big tech’s centralized servers and cloud-based systems.
Issues like data breaches, censorship, and monopolization are driving this trend. We spoke to Mathias Buus Madsen, CEO of Holepunch, about why decentralization matters and how we can expect the trend to develop.
Open-source malware targets data exfiltration


Supply chain security company Sonatype has released the Q2 2025 edition of its Open Source Malware Index, uncovering 16,279 malicious open source packages across major ecosystem.
This brings the total number of open-source malware packages Sonatype has discovered to 845,204. Compared to the end of the same quarter last year, the total volume of malware logged by Sonatype has surged 188 percent, underscoring the growing sophistication and scale of attacks aimed at developers, software teams, and CI/CD pipelines.
New solution helps to secure AI application development


AI is revolutionizing how software gets built, making the process faster, smarter, and more autonomous. But it also introduces more risk than we’ve ever seen and challenges application security, which wasn’t designed for AI-driven development processes.
In response to this Legit Security is launching Legit MCP (Model Context Protocol) Server. This new offering brings application security posture management (ASPM) to AI-led development, making vulnerability management simpler.
Why now is time to build sustainable accessibility into organizational culture


Accessibility is increasingly recognized as an important part of how organizations deliver value across a number of industries, and rightly so. It goes beyond meeting legal requirements to improve user experience, promote inclusion, and build better services for all. Yet, despite the growing awareness, some organizations still see integrating accessibility into its processes as an isolated effort or something to be 'checked off' near the end of a project, prompted by upcoming regulation, user complaints, or reputational risk.
This reactive approach may satisfy compliance needs in the short-term, but it does little to build lasting, meaningful inclusion. Meaningful progress happens when accessibility is embedded into an organization’s everyday mindset and operations. In short, accessibility must become a fundamental element, not an afterthought. Adding accessibility to everyday practices instead of reserving it for emergencies allows companies to develop better products, rely on stronger teams, and be more resilient.
Confidence in software supply chain security at odds with actual readiness


New research finds that 32 percent of security professionals think they can deliver zero-vulnerability software despite rising threats and compliance regulations. 68 percent are more realistic, noting they feel uncertain about achieving this near-impossible outcome.
The study from Lineaje, carried out among RSA attendees, also shows that while software bill of material (SBOM) regulations and guidelines continue to increase, organizations vary in their level of adoption.
New platform offers secure development for the AI era


According to recent projections from Gartner, by 2028 90 percent of enterprise software engineers will use AI code assistants, up from less than 14 percent in early 2024. But relying on AI in development roles also introduces risks.
Snyk is launching a new AI-native agentic platform specifically built to secure and govern software development in the AI Era.
Java at 30: What's next for the world's most enduring programming language? [Q&A]


As Java marks its 30th anniversary on May 23rd, it's a powerful reminder that few technologies have had the longevity -- or the impact -- of a language first launched in 1995.
Today, Java continues to underpin much of modern software development, from cloud-native systems to enterprise-scale applications.
To mark this milestone, we caught up with Dewan Ahmed, principal developer advocate at Harness. Dewan, whose work focuses on empowering DevOps and engineering teams to deliver reliable, efficient, and secure software. He has seen first-hand just how much Java has changed over the past decade.
Autonomous AI agents aim to streamline enterprise development


The use of AI in software development can save valuable time completing routine tasks. But what if it could autonomously respond to events, implement changes, and submit code through standard pull requests?
This is what Zencoder is doing with the launch today of Autonomous Zen Agents for CI/CD, bringing groundbreaking AI automation directly into the software development infrastructure.
Starburst platform updates boost enterprise AI initiatives


Updates to the Starburst data platform for apps and AI are designed to accelerate enterprise AI initiatives and support the transition to a future-ready data architecture built on a data lakehouse.
At the heart of these changes are Starburst AI Workflows, a purpose-built suite of capabilities that speed AI experimentation to production for enterprises. AI Workflows provides a link between vector-native search, metadata-driven context, and robust governance, all on an open data lakehouse architecture.
Chainguard launches malware-resistant dependencies for Python


The Python programming language has become the foundation of modern AI and machine learning applications. Of course that makes it a prime target for supply chain attacks.
Public registries do minimal vetting of hosted artifacts, and they don't provide assurance that the distributed library matches its source code, exposing enterprises to supply chain attacks. Python libraries are also susceptible to supply chain attacks because many projects include more than just pure Python code -- for example project maintainers often rebundle shared system libraries into their Python libraries to ensure stable behavior.
Digital accessibility a priority ahead of new European law


With the European Accessibility Act (EAA) due to come into force next month, 84 percent of respondents to a new study say that digital accessibility is a priority for their company.
The EAA aims to make technology products and services easier to use for people with disabilities. The study, from quality and testing specialist Applause, shows 94 percent of organizations are preparing for the EAA by the June 28, 2025 deadline.
Why using AI as a replacement for junior developer talent is a mistake [Q&A]


By 2026 it's estimated the IT skills shortage will affect nine out of 10 organizations, an issue that will only be exacerbated by the growing 'silver tsunami' of seasoned professionals retiring from the industry.
This shortage presents a challenge to almost every organization, especially as IT professionals are being asked to usher their company into the digital age and incorporate new technology into existing workflows.
Enterprises shift to software-based pentesting


The latest State of Pentesting report from Pentera reveals that over 50 percent of enterprise CISOs now report using software-based pentesting to support their in-house testing practices.
Based on research conducted by Global Surveyz, the report notes that 50 percent of CISOs now identify software-based testing as a primary method for uncovering exploitable security gaps within their organizations.
The challenges of using AI in software development [Q&A]


Artificial intelligence has found its way into many areas, not least software development. But using this technology isn't without problems around security, code quality and more.
We talked to Vibor Cipan, senior manager -- developer relations, community and success at AI coding agent Zencoder to find out more about the challenges of AI development and how to address them.
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