Over 71 percent of in-house IT builds fail to deliver
A survey of over 2,000 IT and security decision-makers finds that 71 percent of in-house IT builds are eventually abandoned. In heavily regulated industries like manufacturing and finance this rises to 83 percent, which underscores how complexity and compliance pressures make homegrown systems difficult to sustain.
The study from Exclaimer calls this ‘The DIY Mirage’, a false sense of control and efficiency that fades as maintenance demands, compliance risks, and long-term costs grow.
CVE system struggling to keep pace with modern development
A new report finds that the Common Vulnerabilities and Exposures (CVE) system struggles to keep pace with the realities of modern software development.
The study from Sonatype analyzed 1,552 open source vulnerabilities disclosed in 2025 and found that nearly two-thirds (64 percent) lacked severity scores from the National Vulnerability Database (NVD).
Red Hat announces Project Hummingbird to boost cloud-native development
Today’s IT leaders frequently face a critical trade-off between delivery speed and systems security. AI-assisted and -generated coding tools accelerate development cycles, but this speed can run counter to the realities of managing multi-faceted, complicated software components.
This seemingly leaves CIOs with two choices, moving at the speed of business while balancing potential production systems risks, or being overcautious to the point of losing to competitor’s innovations.
New Gcore platform simplifies enterprise AI deployment
Businesses are keen to deploy AI but doing so across hybrid and regulated environments, and managing the resulting workloads, remains deeply complex.
This is why Gcore is launching Everywhere AI, a deployment platform that allows enterprises to deploy, scale, and optimize AI workloads flexibly across on-premises, hybrid, and cloud environments while maximizing performance, efficiency, and revenue.
81 percent of security teams lack visibility into AI coding
While AI adoption is now nearly universal, governance and visibility have failed to keep pace, according to a new report from Cycode.
The study shows that 97 percent of organizations are already using or piloting AI coding assistants, and all confirm having AI-generated code in their codebases. Yet, despite this near-total adoption, 81 percent lack visibility into AI usage and 65 percent report increased security risks associated with AI.
New AI testing solution helps avoid hallucinations
AI systems are only as dependable as the data and validation that lies behind them. Yet many organizations struggle to test AI models comprehensively across languages, regions, and use cases.
That’s why crowdsourced testing platform Testlio is launching a new, end-to-end AI testing solution as the latest addition to its managed service portfolio.
Life after DevOps -- the new initiatives challenging the status quo [Q&A]
The concept of DevOps has been around since the late 1980s and has been mainstream for the last 15 years or so. But there has recently been discussion around whether open-source platforms like System Initiative are challenging DevOps’ dominance.
We talked to Pablo Gerboles Parrilla, the founder and CEO of Alive DevOps, about what needs to change in how teams build and deploy software, and perhaps more importantly about what shouldn’t.
The rise of voice -- is typing holding developers back? [Q&A]
Voice is in the process of replacing the keyboard in ways that could shake the foundations of how developers work, collaborate, and even think.
We spoke with Natalie Rutgers, VP of product at Deepgram, to find out how voice-first development tools are gaining traction and why companies that fail to adapt risk losing their edge -- and their top talent.
Software engineers love building new features but are spending more time on other things
A new survey of 1,200 software engineers and technology leaders finds that only 33 percent of engineers strongly agree that they spend the majority of their time on work that energizes them. They spend just 16 percent of their week building features, despite 93 percent saying it’s the most rewarding part of their jobs
The study from Chainguard looks at how friction from repetitive maintenance, fragmented tools, and burnout continues to weigh heavily on the developer experience, while also revealing how AI and automation ease workloads to give software engineers more time for meaningful work.
Google builds new AI agent to improve code security
Google has released information on a new AI-powered agent that automatically improves code security by fixing critical software vulnerabilities.
CodeMender has been built over the past six months and the company has already upstreamed 72 security fixes to open source projects, including some as large as 4.5 million lines of code.
AI is an even playing field -- how secure by design can tip the scale [Q&A]
Vibe coding is currently all the rage, with more than 97 percent of respondents to a survey earlier this year reporting having used AI coding tools at work.
The adoption of these tools only continues to grow but it comes with a catch, attackers are also employing the same techniques. We spoke to Pieter Danhieux, co-founder and CEO of Secure Code Warrior, to discuss how vibe coding is redefining the software development landscape, how malicious actors are also leveraging this technology and the need for organizations to implement secure by design strategies from the outset.
Use of AI-powered software testing doubles in the last year
A new report shows that 60 percent of organizations use AI in the software testing process, compared to just 30 percent last year, but 80 percent lack in-house AI testing expertise.
The study from Applause, based on a global survey of more than 2,100 software development and testing professionals, finds 92 percent of organizations are finding it challenging to keep pace with rapidly changing requirements.
New AI-powered code intelligence platform speeds up modernization efforts
Today’s enterprises are often stuck with legacy code that hampers attempts at modernization, maintenance and more.
To address this CoreStory is launching an AI-driven code intelligence platform that uncovers the fundamental insights in code to accelerate software modernization efforts quickly, efficiently and with greater confidence.
Software engineers need new skills in the age of AI
AI is transforming software engineering, changing what software engineers do and the skills they need to succeed. A new survey from Uplevel, of over 100 senior engineering leaders at mid-to-large technology companies, looks at what they believe will be the most important skills for their teams.
It finds that validation of AI outputs and quality assurance (QA) is valued highest, cited by 66 percent of leaders, followed by performance monitoring and optimization (39 percent), and system architecture and integration skills (34 percent)
The challenge of syncing virtual economies across platforms [Q&A]
As people increasingly demand seamless experiences across platforms, developers face growing complexity in managing unified virtual economies.
In the games sector in particular companies need to leverage distributed architecture, virtual currencies, and real-time inventory reconciliation to ensure consistent user experiences and secure transaction flows.
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