Latest news with #GeminiCodeAssist
Forbes
28-05-2025
- Business
- Forbes
Establishing A Secure Foundation Of Trust For AI Development
A race car isn't fast because of the engine alone—it's the brakes that make speed safe and ... More controlled. Trust enables acceleration. Artificial intelligence is changing how we build software. It speeds up development and helps teams ship faster. But with that speed comes a big question: Can we trust the software AI creates? In a world of AI-powered code, trust isn't a bonus—it's a must. AI coding tools like GitHub Copilot and Gemini Code Assist are everywhere. Developers are using them to build faster and automate more. But AI also brings new risks. AI doesn't just help write code. It changes how software is built. It changes who builds it. And it changes what's possible—both good and bad. I sat down with Danny Allan, CTO of Snyk, to talk about how software development is evolving and what we need to do to ensure we can trust it. 'We're in a perfect storm right now,' he declared. Allan described the three converging fronts of the perfect storm: AI is creating more code than ever. That code is often less secure than what senior developers would write. And AI-native applications have a larger attack surface, especially when large language models are involved. A recent study by Snyk found that 96% of CISOs are worried about how AI is being used in development. That concern is well-placed. AI-generated code may look like regular code—but it's not. The risks are different. That's why we need a new approach. LLMs add new dangers. Prompt injection, model theft, data leaks and poisoned training sets are all part of the picture. Allan noted we are also still not logging prompt history or tracking model outputs in most organizations. He compared today's AI rush to the early days of cloud. 'Back then, no one was locking down instances or logging access,' he said. 'Now, we're doing the same with AI models.' AI isn't just another tool. It's a new layer of infrastructure. And right now, it's going mostly unsecured. That's where AI trust platforms come in. These tools aim to secure the entire AI pipeline—from how the code is written to how the models behave. Snyk announced the launch of its own AI Trust Platform to help address this. It includes: Allan explained the platform's goal: 'Technology can never achieve its full potential unless we trust the technology that we're using.' The rise of AI coding assistants has sparked fears that software engineers might soon be obsolete. But that vision misses the bigger picture. AI doesn't eliminate the need for developers—it changes what they do and how they add value. Danny Allan sees a future where developers fall into three evolving categories: In this model, AI doesn't shrink the developer community—it expands it. Everyone becomes a builder, but with different levels of sophistication and responsibility. And as AI-generated code becomes more common, the need for oversight, security and skilled guidance only grows. AI is a powerful tool. But human judgment—especially when it comes to security, ethics and edge-case logic—remains irreplaceable. The challenge isn't how to replace developers. It's how to re-skill and redefine them for the AI era. As AI tools become more connected, through systems like Model Context Protocol, companies must make sure those connections are safe. Snyk, for example, is offering both integrations and security guidance for MCP. That's key. Every new tool is also a new attack surface. Speed without safety leads to disaster. But trust lets you go faster with confidence. Allan shared a quote from his CEO to drive the point home: 'The reason why racers can go fast is because they have brakes. It's not because of the engine. You can go faster. And so if you want to trust it, it's the brakes that you're trusting. It's not the engine itself.' AI will keep changing how we work. That's a good thing. But trust needs to grow with it. The companies that succeed will be the ones who build trust into every layer—from the models they use to the code they ship. That means educating developers, adopting secure tools and setting clear standards. AI is the engine. Trust is the brake. And both are needed if we want to go the distance.
Techday NZ
22-05-2025
- Business
- Techday NZ
Gemini Code Assist launches for all, delivers 2.5x boost
Gemini Code Assist for individuals and for GitHub is now generally available and powered by Gemini 2.5. Gemini Code Assist, which is a free AI-coding assistant, launched public previews for individuals and a code review agent compatible with GitHub a few months ago. According to Group Product Manager for Gemini Code Assist, Damith Karunaratne, since the February preview announcement, the company has been "requesting input, listening to feedback and shipping capabilities developers are asking for." Gemini 2.5 now powers both the free and paid versions of Gemini Code Assist. The tool is designed to enhance coding performance and assist developers with tasks such as creating visually compelling web applications, as well as handling code transformation and editing requirements. Both Gemini Code Assist for individuals and for GitHub are now available, and developers can start using them swiftly. Karunaratne said, "Now we're announcing that Gemini Code Assist for individuals and Gemini Code Assist for GitHub are generally available, and developers can get started in less than a minute. Gemini 2.5 now powers both the free and paid versions of Gemini Code Assist, features advanced coding performance; and helps developers excel at tasks like creating visually compelling web apps, along with code transformation and editing." Recognising that developers often spend significant time personalising their coding environments for efficiency and collaborative purposes, the latest updates to Gemini Code Assist focus on expanded customisation. The company states that all versions now offer more options to accommodate individual and team preferences, including workflow customisation, the option to resume tasks from where they were paused, and new tools to enforce team coding standards, style guides and architectural patterns. "We know developers spend a lot of time personalizing their coding environment so they can be more efficient and work better in team settings. Our latest updates to Gemini Code Assist, across all versions, give more customization options for you and your team's preferences. This includes more ways to customize workflows to fit different project needs, the ability to more easily pick up tasks exactly from where you were left off, and new tooling to enforce a team's coding standards, style guides and architectural patterns," said Karunaratne. Some recent updates to Gemini Code Assist include the ability to resume work and explore new directions using chat history and threads, shaping the AI's responses by specifying persistent rules such as "always add unit tests," and automating repetitive tasks with custom commands like "generate exception handling logic." Other features allow developers to review and accept chat code suggestions in parts, across files, or all at once, with improvements aimed at streamlining the code review and suggestion process. Karunaratne outlined, "Here are some examples of recent updates you can explore in Gemini Code Assist: Quickly resume where you left off and jump into new directions with chat history and threads. Shape Gemini's responses by specifying rules (i.e., 'always add unit tests') that you want applied to every AI generation in the chat. Automate repetitive tasks by creating custom commands (i.e., "generate exception handling logic") Save time by choosing to review and accept chat code suggestions in parts, across files, or accept all together. Reviewing and accepting code suggestions is now significantly improved." The company also confirmed that when a 2 million token context window becomes available on Vertex AI, Gemini Code Assist Standard and Enterprise customers will have access to it as well. This expanded capability is intended to aid those working on complex, large-scale development challenges, such as bug tracing, code transformations, and compiling extensive onboarding materials for new members of sizeable codebases. "And when we make a 2 million token context window available on Vertex AI, Gemini Code Assist Standard and Enterprise developers will get it too. This expanded context window will help developers with complex tasks at large scale, like bug tracing, code transformations, and generating comprehensive onboarding guides for people new to a vast codebase," Karunaratne explained. New data provided by the company shows notable improvements in developer productivity when using Gemini Code Assist. In an internal experiment comparing developers utilising the tool to those without coding assistance software, results showed that Gemini Code Assist increased the likelihood of successfully completing common development tasks by 2.5 times. "New data shows that Gemini Code Assist significantly helps developers get things done. In an experiment comparing developers using Gemini Code Assist to developers without any coding assistance tools, we found that Gemini Code Assist significantly boosts developers' odds of success in completing common development tasks by 2.5 times," Karunaratne noted. The Gemini Code Assist extension is available for download in both Visual Studio Code and JetBrains integrated development environments, and the code review agent is accessible through the GitHub app. The service is now also available in Android Studio, allowing businesses to utilise Gemini at every phase of the Android development lifecycle.
TECHx
15-04-2025
- Business
- TECHx
UAE Cybersecurity Council Participates in Google Cloud Next 2025
The United Arab Emirates, represented by the UAE Cybersecurity Council, took part in Google Cloud Next 2025 in Las Vegas, USA. The global summit, hosted annually by Google, focused on advancements in cloud computing, artificial intelligence, and cybersecurity. This year's event brought together tech leaders, developers, and partners from around the world. Google introduced several AI-powered tools, including the Gemini 2.5 Pro model, Gemini Code Assist, and Google AI Studio. These tools are designed to enhance cloud development and support innovation in multiple sectors, including healthcare and commerce. During the summit, the UAE Cybersecurity Council announced a major collaboration with Google. The two parties will launch a Global Cybersecurity Centre of Excellence in Abu Dhabi. This new centre reflects the UAE's commitment to digital transformation and aligns with the country's Digital Economy Strategy 2031. The centre aims to strengthen UAE cybersecurity capabilities and promote the safe adoption of digital technologies. It will also support innovation by integrating Google's advanced products and services into the UAE's digital infrastructure. Dr. Mohamed Al Kuwaiti, Head of Cybersecurity for the UAE Government, represented the country at the event. In his address, he underlined the importance of international partnerships and highlighted national initiatives such as Falcon LLM and Cyber Pulse, which focus on improving digital security. As part of the collaboration, Abu Dhabi will host the regional headquarters of Google's first Cybersecurity Academy in the Middle East. The academy will provide certified training programs, develop instructors through Train-the-Trainer sessions, and deliver advanced education in digital technologies. The initiative is expected to create over 20,300 specialized jobs in the UAE cybersecurity sector. It will also attract an estimated $1.4 billion in foreign direct investment. These efforts are set to boost the country's economic growth and digital resilience. In addition, over 25 digital products are currently in development through the UAE-Google partnership. The collaboration will also support local startups by providing access to customized Google Cloud services. The launch of Google's regional office in the UAE is expected to contribute further to the local economy. It will help position the UAE as a leading destination for technology, investment, and innovation. Overall, the initiative showcases the UAE's dedication to building a secure digital future. It strengthens the country's position as a global hub for cybersecurity and reinforces its long-term strategy to lead in AI and cloud technology.
Tahawul Tech
15-04-2025
- Business
- Tahawul Tech
Dynatrace announces early access to its platform innovations
Dynatrace, the leading AI-powered observability platform, has announced early access for joint Google Cloud customers to its most recent platform innovations. These innovations are powered by the Dynatrace Grail™ data lakehouse that retains context across all data types – including logs, metrics, traces, events, and more – to provide customers with precise, actionable answers. As organisations embrace cloud-native environments to drive innovation and digital transformation, they must manage volumes of data at an unprecedented scale. Traditional tools struggle to provide real-time insights across these vast and complex data stores, leading to inefficiencies and siloed operations. Dynatrace Grail was developed to address these challenges by transforming complexity into an asset, enabling organisations to extract real-time, actionable intelligence from their data. It brings together observability, security, and business data, allowing businesses to swiftly derive insights, boost operational performance, and stay ahead in Google Cloud environments. With real-time data processing and advanced automation, Grail also helps organizations improve efficiencies to make smarter, data-driven decisions that directly contribute to business growth and competitive advantage. Other key benefits include: AI-Driven Precision: The combination of Davis® AI and Grail enables accurate, real-time insights for informed decision-making and faster issue resolution. The combination of Davis® AI and Grail enables accurate, real-time insights for informed decision-making and faster issue resolution. Scalable Data Processing: Grail's cloud-native architecture delivers the access and speed of hot storage for all data with the cost efficiency of cold-tier storage. It eliminates the time-consuming and costly re-indexing and rehydration operations that are inherent to competitive observability solutions. Grail's cloud-native architecture delivers the access and speed of hot storage for all data with the cost efficiency of cold-tier storage. It eliminates the time-consuming and costly re-indexing and rehydration operations that are inherent to competitive observability solutions. Seamless Integration with Google Cloud: Organisations can unify and analyse data within their existing cloud ecosystems, enhancing performance and security. Organisations can unify and analyse data within their existing cloud ecosystems, enhancing performance and security. Easy Access to Dynatrace Data for Developers: With Google's Gemini Code Assist, an AI-powered coding assistant that helps developers with various tasks – including code generation, completion, and debugging, directly within their IDEs – developers can access critical Dynatrace data, including data related to potential issues, without disrupting their flow state. This enables faster issue resolution and continuous innovation. With Google's Gemini Code Assist, an AI-powered coding assistant that helps developers with various tasks – including code generation, completion, and debugging, directly within their IDEs – developers can access critical Dynatrace data, including data related to potential issues, without disrupting their flow state. This enables faster issue resolution and continuous innovation. Observability for End-to-End Multimodal AI Models: Users can track and monitor the consumption, cost, and performance of AI services and models provided by Google's Gemini models – a family of multimodal AI models designed to understand and generate text, images, audio, videos, and code – at scale. Learning from Industry Analysts 'The winners in the digital-first world are those who get their 'data house' in order. This requires harnessing large amounts of data, scalable processing and performance, and AI to infer new insights unattainable without such a solution', said Mitch Ashley, VP and Practice Lead, DevOps and Application Development at The Futurum Group. 'Expanding Dynatrace observability and security, along with the power of Grail and Davis® AI, to Google Cloud customers brings a solid platform to tackle these challenges'. The Google Cloud Vision 'AI-powered observability has the power to transform how organisations manage their cloud-native environments', said Ritika Suri, Managing Director of AI & Data ISV Partnerships at Google Cloud. 'Solutions like Dynatrace Grail, integrated with Google Cloud's leading AI and infrastructure, enable customers to streamline operations, enhance efficiency, and confidently drive innovation'. The Dynatrace Vision 'Grail has been a game changer for Dynatrace, setting us apart by delivering real-time insights at an unprecedented scale', said Jay Snyder, SVP of Partners and Alliances, Dynatrace. 'By combining the capabilities of Grail with the flexibility and power of Google Cloud, Dynatrace empowers customers to innovate faster, operate more efficiently, and achieve their digital transformation goals with confidence'. The early access program presents a unique opportunity for Google Cloud customers to adopt next-generation observability technology, positioning them at the forefront of cloud-native transformation. Through this integration, enterprises can modernize operations, improve system reliability, and unlock new opportunities for growth and efficiency. Dynatrace expects the Grail data lakehouse on Google Cloud to be generally available by June 30. Additional Resources For more details on how Grail can transform your cloud operations, visit the Dynatrace blog. To learn more about Gemini Code Assist and its benefits for developers, check out this blog post. Cautionary Language Concerning Forward-Looking Statements This press release includes certain 'forward-looking statements' within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace's capabilities and the expected benefits to organisations from using Dynatrace and AI. These forward-looking statements include all statements that are not historical facts and statements identified by words such as 'will,' 'expects,' 'anticipates,' 'intends,' 'plans,' 'believes,' 'seeks,' 'estimates,' and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption 'Risk Factors' in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise. Image Credit: Dynatrace
Channel Post MEA
12-04-2025
- Business
- Channel Post MEA
Dynatrace Unveils New Platform Innovations
Dynatrace has announced early access for joint Google Cloud customers to its most recent platform innovations. These innovations are powered by the Dynatrace Grail data lakehouse that retains context across all data types – including logs, metrics, traces, events, and more – to provide customers with precise, actionable answers. As organizations embrace cloud-native environments to drive innovation and digital transformation, they must manage volumes of data at an unprecedented scale. Traditional tools struggle to provide real-time insights across these vast and complex data stores, leading to inefficiencies and siloed operations. Dynatrace Grail was developed to address these challenges by transforming complexity into an asset, enabling organizations to extract real-time, actionable intelligence from their data. It brings together observability, security, and business data, allowing businesses to swiftly derive insights, boost operational performance and stay ahead in Google Cloud environments. With real-time data processing and advanced automation, Grail also helps organizations improve efficiencies to make smarter, data-driven decisions that directly contribute to business growth and competitive advantage. Other key benefits include: AI-Driven Precision: The combination of Davis AI and Grail enables accurate, real-time insights for informed decision-making and faster issue resolution. The combination of Davis AI and Grail enables accurate, real-time insights for informed decision-making and faster issue resolution. Scalable Data Processing: Grail's cloud-native architecture delivers the access and speed of hot storage for all data with the cost efficiency of cold-tier storage. It eliminates the time-consuming and costly re-indexing and rehydration operations that are inherent to competitive observability solutions. Grail's cloud-native architecture delivers the access and speed of hot storage for all data with the cost efficiency of cold-tier storage. It eliminates the time-consuming and costly re-indexing and rehydration operations that are inherent to competitive observability solutions. Seamless Integration with Google Cloud: Organizations can unify and analyze data within their existing cloud ecosystems, enhancing performance and security. Organizations can unify and analyze data within their existing cloud ecosystems, enhancing performance and security. Easy Access to Dynatrace Data for Developers: With Google's Gemini Code Assist, an AI-powered coding assistant that helps developers with various tasks – including code generation, completion, and debugging, directly within their IDEs – developers can access critical Dynatrace data, including data related to potential issues, without disrupting their flow state. This enables faster issue resolution and continuous innovation. With Google's Gemini Code Assist, an AI-powered coding assistant that helps developers with various tasks – including code generation, completion, and debugging, directly within their IDEs – developers can access critical Dynatrace data, including data related to potential issues, without disrupting their flow state. This enables faster issue resolution and continuous innovation. Observability for End-to-End Multimodal AI Models: Users can track and monitor the consumption, cost, and performance of AI services and models provided by Google's Gemini models – a family of multimodal AI models designed to understand and generate text, images, audio, videos, and code – at scale. Learning from Industry Analysts 'The winners in the digital-first world are those who get their 'data house' in order. This requires harnessing large amounts of data, scalable processing and performance, and AI to infer new insights unattainable without such a solution,' said Mitch Ashley, VP and Practice Lead, DevOps and Application Development at The Futurum Group. 'Expanding Dynatrace observability and security, along with the power of Grail and Davis® AI, to Google Cloud customers brings a solid platform to tackle these challenges.' The Google Cloud Vision 'AI-powered observability has the power to transform how organizations manage their cloud-native environments,' said Ritika Suri, Managing Director of AI & Data ISV Partnerships at Google Cloud. 'Solutions like Dynatrace Grail, integrated with Google Cloud's leading AI and infrastructure, enable customers to streamline operations, enhance efficiency, and confidently drive innovation.' The Dynatrace Vision 'Grail has been a game changer for Dynatrace, setting us apart by delivering real-time insights at an unprecedented scale,' said Jay Snyder, SVP of Partners and Alliances, Dynatrace. 'By combining the capabilities of Grail with the flexibility and power of Google Cloud, Dynatrace empowers customers to innovate faster, operate more efficiently, and achieve their digital transformation goals with confidence.' The early access program presents a unique opportunity for Google Cloud customers to adopt next-generation observability technology, positioning them at the forefront of cloud-native transformation. Through this integration, enterprises can modernize operations, improve system reliability, and unlock new opportunities for growth and efficiency. Dynatrace expects the Grail data lakehouse on Google Cloud to be generally available by June 30. 0 0
