Google enhances Android Studio with enterprise Gemini AI tools

Google logo as the company unveils new enterprise Gemini AI tools in Android Studio, tailored to meet their privacy, security, and management demands.

Google has unveiled new enterprise Gemini AI tools in Android Studio, tailored to meet their privacy, security, and management demands.

The update aims to empower organisations by integrating AI-powered coding assistance while addressing concerns around data protection and intellectual property (IP).

Sandhya Mohan, Product Manager for Android at Google, explained: “We’ve heard that some people at businesses have additional needs that require more sensitive data...

Enterprise open-source adoption soars despite challenges

Flying bird illustrating the 2025 State of Open Source Report by Perforce that finds enterprise adoption of open-source software (OSS) is soaring despite significant ongoing challenges.

Enterprise adoption of open-source software (OSS) is soaring despite significant ongoing challenges.

According to the 2025 State of Open-Source Report by Perforce, 96% of organisations increased or maintained their use of open-source software in the past year, with over a quarter (25.71%) reporting a significant increase.

This surge in open-source adoption is consistent across company sizes, although the largest enterprises (over 5,000 employees) showed the most...

Security flaws hit PyTorch Lightning deep learning framework

Photo of lightning as popular deep learning framework, PyTorch Lightning, has been found to contain multiple critical security flaws that could potentially allow attackers to execute arbitrary code by loading untrusted model files.

Popular deep learning framework, PyTorch Lightning, has been found to contain multiple critical security flaws.

The deserialisation vulnerabilities, identified under the reference VU#252619, impacts all versions of the framework up to and including version 2.4.0 and could potentially allow attackers to execute arbitrary code by loading untrusted model files.

The discovery of these vulnerabilities was made by Kasimir Schulz from HiddenLayer and the disclosure was...

Why developer-centric AI will transform business

Today, GenAI sits at the forefront of innovation, with millions across the UK utilising its capabilities to elevate their work, and nearly three-quarters of these users reporting a significant boost in productivity. Yet, this wave stands apart from previous technological booms because developers, instead of operating behind the scenes, are now taking centre stage. In earlier movements, developers served as invisible architects bringing others’ visions to fruition. Now, with GenAI, they...

KAI Scheduler: NVIDIA open-sources Kubernetes GPU scheduler

Photo of roundabouts illustrating NVIDIA making its KAI Scheduler open-source, a Kubernetes solution designed to optimise the scheduling of GPU resources.

NVIDIA has open-sourced KAI Scheduler, a Kubernetes solution designed to optimise the scheduling of GPU resources.

The solution, previously a core component of the Run:ai platform, is now available to the wider community under the Apache 2.0 licence. According to NVIDIA, the move is part of its ongoing commitment to the advancement of both open-source initiatives and enterprise-grade AI infrastructure.

KAI Scheduler is specifically engineered to tackle the unique...

Critical security flaw uncovered in Next.js framework

Caution pattern illustrating the discovery of a critical security flaw discovered in the popular Next.js framework, potentially impacting millions of websites and applications.

A critical security flaw has been discovered in the popular Next.js framework, potentially impacting millions of websites and applications.

Security researchers Rachid Allam, known online as zhero, and Yasser Allam (inzo_) collaborated to uncover the flaw within the framework's middleware functionality.

Next.js, boasting over 130,000 stars on GitHub and nearly 10 million weekly downloads, is a framework built upon React. Its extensive feature set makes it a popular...

AI in software development: Looking beyond code generation

AI was a significant catalyst for change last year. In 2025, organisations that have already started integrating AI into their processes will begin to see a return on investment, allowing them to refine and refocus their use of AI in software development.

Recent research by GitLab found that 78% of organisations either actively use AI in their development processes or plan to implement it in the next two years. The use cases are likely varied, reactive, application of AI for...

Why good instance management is key to the software development lifecycle

In 2005, Carnegie Mellon University reported that large scale projects were three to five times more likely to fail than small ones due to complexity, and notably, because “no one really understands all the interacting parts”. Two decades on, and we’re still tackling the same problems in which manual management - of instances, software, hardware, and beyond - is impacting the ability of software development projects to succeed.

The language has changed in 20 years, but the...

Storyblok: 5 ways developers are breaking free from legacy CMS and accelerating innovation

Developers need speed and flexibility to create websites, apps, and experiences. But many are stuck using outdated content management systems (CMS) that do more harm than good. These legacy platforms, while functional in their time, now hold developers back from integrating new tools and technologies that drive innovation. As a result, they spend more time maintaining systems than they do building the future.

Last year, the average business spent nearly $3 million on tech...

AI coding tools: Productivity gains, security pains

Photo of a boltcutter illustrating how AI coding tools are increasing productivity but also cyber security risks in software development.

Apiiro has provided insights into how generative AI coding tools are accelerating development while simultaneously increasing security risks.

This research found that generative AI tools have supercharged coding velocity while putting sensitive data like Personally Identifiable Information (PII) and payment details at significant risk.

As organisations increasingly adopt AI-driven development workflows, the need for robust application security and governance is becoming...