Latest news with #softwaredevelopment
Geeky Gadgets
7 hours ago
- Business
- Geeky Gadgets
iOS 26 Beta 1 is COMING: Official Release at WWDC25
Apple is preparing to unveil iOS 26 Beta 1 at the 2025 Worldwide Developers Conference (WWDC), signaling a pivotal moment in its software development strategy. This announcement not only introduces the latest iteration of Apple's operating system but also highlights a significant rebranding initiative. By transitioning to a year-based naming convention, Apple aims to simplify its product lineup and provide greater clarity for both users and developers. This change will extend across all major platforms, including iOS, iPadOS, macOS, watchOS, tvOS, and visionOS, creating a unified and consistent naming structure. The video below from iReviews gives us more details about iOS 26 beta 1. This strategic shift reflects Apple's commitment to enhancing user experience and aligning its software releases with a more intuitive timeline. The move underscores the company's focus on clarity and accessibility, making sure that its ecosystem remains both innovative and user-friendly. Watch this video on YouTube. Why the Year-Based Naming Matters Apple's decision to adopt a year-based naming convention marks a departure from its traditional sequential numbering system. This approach, commonly used in industries like automotive manufacturing, provides a clear and immediate reference point for users. For instance, instead of continuing with iOS 19, the new version will be named iOS 26, reflecting its relevance in 2026. This change will be implemented across Apple's entire ecosystem, with names like iPadOS 26, macOS 26, and watchOS 26 becoming the standard. By adopting this naming strategy, Apple aims to: Streamline product timelines for easier understanding by users and developers. for easier understanding by users and developers. Reduce confusion surrounding software versions and release schedules. surrounding software versions and release schedules. Align its branding with a forward-thinking and consistent identity. For developers, this shift simplifies the process of tracking updates and ensures compatibility across devices. For users, it provides a more intuitive way to understand the software they are using, fostering a stronger connection to Apple's ecosystem. What to Expect from iOS 26 and Beyond The launch of iOS 26 Beta 1 is expected to introduce a redesigned operating system, though Apple has remained tight-lipped about specific features. However, based on Apple's history of iterative innovation, you can anticipate updates that enhance functionality, improve user experience, and strengthen integration across devices. Potential updates across Apple's platforms could include: iOS 26: Enhanced multitasking capabilities, refined privacy features, and deeper integration with Apple's ecosystem. Enhanced multitasking capabilities, refined privacy features, and deeper integration with Apple's ecosystem. macOS 26: Tools to streamline professional workflows, improved productivity features, and a more cohesive design. Tools to streamline professional workflows, improved productivity features, and a more cohesive design. watchOS 26: Advanced health-tracking metrics, expanded fitness tools, and improved battery efficiency. Advanced health-tracking metrics, expanded fitness tools, and improved battery efficiency. visionOS 26: Enhanced augmented and virtual reality capabilities, further integrating this platform into Apple's broader ecosystem. These updates are expected to reflect Apple's dedication to balancing innovative technology with simplicity and usability. Whether you are a developer exploring new possibilities or a user seeking a seamless experience, the redesign promises to deliver meaningful improvements. Beta Testing and Public Release Timeline The unveiling of iOS 26 Beta 1 at WWDC 2025 will provide developers with early access to the software. This beta phase is a critical component of Apple's development process, allowing developers to test the system, identify bugs, and provide valuable feedback. By involving the developer community, Apple ensures that the final release is polished and optimized for public use. The public release of iOS 26 and its counterparts is expected in late 2025, aligning with Apple's typical update schedule. This timeline allows for widespread adoption by 2026, making sure that the new naming convention and system redesign are fully integrated into Apple's ecosystem. For users, this means a smoother transition and a more cohesive experience across devices. The Broader Impact of Rebranding Apple's decision to rebrand its operating systems with a year-based naming convention reflects a broader trend in the tech industry toward clarity and consistency. By aligning software names with release years, Apple simplifies its product lineup and reinforces its reputation for innovation. This strategy also creates a unified naming structure across platforms, benefiting both users and developers. The influence of automotive naming conventions is evident in this approach, showcasing Apple's ability to adapt successful practices from other industries. This alignment not only enhances user understanding but also underscores Apple's focus on delivering accessible, forward-thinking products. For developers, the consistency across platforms simplifies the process of building and maintaining applications, while users benefit from a clearer understanding of the software they rely on. What This Means for You As the release of iOS 26 Beta 1 approaches, it is evident that Apple is embarking on a new chapter in its software development journey. The combination of a year-based naming convention, system redesign, and innovative updates positions the company to maintain its leadership in the tech industry. For developers, these changes open up new opportunities to create applications that use the latest features and capabilities. For users, the updates promise a more intuitive and efficient experience, with improvements designed to enhance daily interactions with Apple's technology. From streamlined workflows to advanced health tracking and augmented reality, the updates introduced with iOS 26 and its counterparts are poised to redefine how you engage with Apple's ecosystem in the years ahead. Here are more detailed guides and articles that you may find helpful on iOS 26 Beta 1. Source & Image Credit: iReviews Filed Under: Apple, Apple iPhone, Toys Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Forbes
3 days ago
- Business
- Forbes
Hope AI Wants To Replace Your Dev Team — But Not How You Think
Agentic AI tools like Hope AI are promising to build entire applications autonomously, but are they ... More replacing developers or redefining them? When Ran Mizrahi launched Bit Cloud in 2014, the idea that AI could design and deploy full-scale enterprise software wasn't something that anyone in the industry was really talking about. At best, it sounded like a pipe dream. Over a decade later, Bit Cloud claims to have built exactly that. Its newest agent, Hope AI, doesn't just write code. It promises to do what once took engineering teams months: design complete system architectures, assemble reusable components and generate production-grade enterprise applications. But as bold as that sounds, it's the kind of promise that triggers equal parts excitement and existential dread across the developer world: If AI can really build the software, what happens to the people who used to? Hope AI positions itself not as another AI assistant but as an autonomous software architect. Unlike tools like GitHub Copilot or Amazon CodeWhisperer, which help engineers write small pieces of code, Hope AI claims to design entire applications from scratch. Built atop Bit's composable software platform — already used by over 500 companies including AT&T, Moody's, and Red Bull — Hope AI supports modern stacks like React, TypeScript, MongoDB and GraphQL. It also integrates with the Model Context Protocol (MCP), an open standard that allows AI models to interact with dev tools more seamlessly. 'Hope AI functions as an intelligent software architect,' Mizrahi said in the company's press release. 'It leverages existing, proven components to compose professional and practical software solutions, enabling consistency and simplifying long-term maintainability.' Hope AI enters the market as agentic AI gains traction across the tech industry. Gartner recently named agentic AI one of its Top Strategic Technology Trends for 2025, while a recent IBM report suggests AI agents are already reshaping software engineering by offloading routine coding tasks. But excitement around agentic AI also comes with unease. In a fireside chat at NTT Research's Upgrade Summit back in April, Naveen Rao, VP of AI at Databricks, expressed a more cautious perspective on the current state of AI agents. Rao noted that while AI adoption is increasing, particularly in productivity tools like coding assistants, true autonomous AI agents are still years away. He advised enterprises to 'focus on targeted, measurable AI projects while anticipating future advances in user interfaces, reliability and self-learning systems.' Security is another big concern. As Brian Roche noted in an article for Veracode, while AI assistants like GitHub's Copilot help developers write code faster, AI-generated code is often insecure or fails basic vulnerability checks. Startups relying too heavily on agentic tools may ship faster but they risk deploying flawed, even dangerous software. And as Robert Lemos wrote for Dark Reading, most developers have adopted AI assistants to help with coding and improve output, but most are also creating vulnerabilities that take longer to remediate. AI agents trained to optimize for speed and output often miss critical business logic, edge cases and compliance checks. This could result in code that works on the surface but fails under real-world conditions. Worse, the growing trend of outsourcing core development to AI could erode internal expertise. Companies may end up with software they don't fully understand and can't maintain without the same AI tools that created it. The economic implications are just as thorny. Recently, in what Axios described as 'a white-collar bloodbath,' Anthropic CEO Dario Amodei warned that AI could eliminate up to 50% of entry-level white-collar jobs in the next five years. That includes junior software engineers, QA testers and documentation writers — the exact roles companies often staff to support large projects. Hope AI's capabilities may accelerate that trend. But not everyone believes developers will become obsolete. 'Writing code is only one piece of building great software,' said Funso Richard, information security executive at Karysburg, in an interview. 'You still need people who understand the user, can collaborate across teams and know how to think critically about design and outcomes,' Richard told me. He added that in the age of AI, 'empathy and communication' will matter more than raw technical skills. For Teddie Wardi, managing director at Insight Partners and an investor in Bit Cloud, Hope AI 'marks a transformational leap in how software is built, accelerating both time-to-market and long-term maintainability for modern teams.' Rather than eliminating developers, tools like Hope AI might redefine what they do. If these tools continue to evolve, coders may act less like builders and more like curators, overseeing AI agents, validating architectural choices and enforcing compliance and ethics. As Mizrahi noted, it's not a replacement but a powerful tool that enables developers to build complex applications in a few hours. 'Think of this as moving from laborer to supervisor,' Mizrahi explained. 'Developers will increasingly oversee AI agents, review their output and guide software architecture at a higher level.' This evolution means software engineering education may also need to change. Future developers will need training in AI model evaluation, prompt engineering, secure integration, and agent orchestration. Already, some computer science programs are introducing AI coding agents into the curriculum. But companies hoping to rely entirely on AI agents could also face harsh lessons if they neglect such human guardrails, as Mizrahi explained. Hope AI may very well become the prototype for a new generation of intelligent dev agents. But for now, it also serves as a mirror — forcing companies, coders and customers to ask what we want software development to look like in the AI era. More autonomous? More efficient? Less human? Or just human in a different way? What's certain, though, is that the future of development won't just be written in code. It will be negotiated between humans and the agents they build to assist them.
Geeky Gadgets
3 days ago
- Business
- Geeky Gadgets
Why You Won't See iOS 19: Apple Jumps to iOS 26
Apple has announced a surprising decision that could reshape its approach to software development: the company will not release iOS 19; the next release will be iOS 26. This marks a significant departure from its traditional update cycle and signals a strategic shift in priorities. The move could have profound implications for the Apple ecosystem, user experience, and the future of its operating systems. The video below from iDeviceHelp gives us more details. Watch this video on YouTube. Why Apple Is Skipping iOS 19 Apple's decision to bypass iOS 19 reflects a deliberate and calculated shift in its software development strategy. Rather than adhering to its usual annual release schedule, the company appears to be focusing on a more comprehensive and forward-thinking overhaul of its operating system. This choice underscores Apple's commitment to innovation and its willingness to address deeper challenges within its software ecosystem. Several key factors contribute to this decision: Breaking Away from Incremental Updates: By skipping a numerical iteration, Apple may be signaling its intent to move beyond minor, incremental updates. This approach suggests a focus on delivering more substantial and meaningful changes that go beyond surface-level improvements. By skipping a numerical iteration, Apple may be signaling its intent to move beyond minor, incremental updates. This approach suggests a focus on delivering more substantial and meaningful changes that go beyond surface-level improvements. Streamlining Complexity: As Apple's ecosystem continues to expand—encompassing iPhones, iPads, Macs, and other devices—managing compatibility has become increasingly complex. A unified and streamlined approach could simplify development and enhance the overall user experience. As Apple's ecosystem continues to expand—encompassing iPhones, iPads, Macs, and other devices—managing compatibility has become increasingly complex. A unified and streamlined approach could simplify development and enhance the overall user experience. Focusing on Long-Term Goals: Apple's decision aligns with its reputation for prioritizing quality and innovation over tradition. By taking a longer-term perspective, the company aims to ensure its technology remains competitive in a rapidly evolving market. This strategic shift highlights Apple's dedication to delivering a more cohesive and forward-looking platform, even if it means breaking from its established patterns. Innovation Takes Center Stage Apple's choice to forgo iOS 19 underscores its commitment to prioritizing innovation over routine updates. Instead of releasing a new version with minor tweaks, the company appears to be dedicating more time and resources to developing new features and improvements. This approach reflects Apple's philosophy of delivering polished, user-centric technology that meets the evolving needs of its customers. By adopting this strategy, Apple can focus on addressing critical areas such as: Security Enhancements: Strengthening defenses against emerging cyber threats to protect user data and privacy. Strengthening defenses against emerging cyber threats to protect user data and privacy. Performance Optimization: Improving speed, efficiency, and responsiveness across devices to ensure a seamless user experience. Improving speed, efficiency, and responsiveness across devices to ensure a seamless user experience. Hardware-Software Integration: Enhancing the interaction between Apple's devices and operating systems for a more unified ecosystem. This approach could result in a more stable, feature-rich operating system that offers meaningful advancements rather than superficial updates. By taking the time to refine its technology, Apple aims to deliver a platform that sets new standards for innovation and usability. What This Means for Future iOS Updates For users, Apple's decision to skip iOS 19 introduces both challenges and opportunities. On one hand, the absence of a new update may delay access to new features and improvements. On the other hand, this shift could pave the way for a more cohesive and innovative operating system that redefines the user experience. One critical aspect to consider is device compatibility. Historically, older devices have struggled to keep up with new iOS updates, raising concerns about planned obsolescence. However, Apple's focus on a unified operating system could potentially extend the lifespan of its devices by improving compatibility across its product lineup. This could result in a more inclusive ecosystem that benefits a broader range of users. Additionally, Apple's new direction raises questions about the nature of its next major release. Whether it involves a rebranded operating system or an entirely new platform, the company's emphasis on innovation suggests that users can expect significant changes in the years ahead. Impact on Apple's Ecosystem The decision to skip iOS 19 could have far-reaching implications for Apple's ecosystem. By adopting a more integrated approach to software development, Apple has the opportunity to strengthen the connections between its devices and services. This could lead to several potential benefits: Improved User Experience: A more seamless interaction between devices, from iPhones and iPads to Macs and Apple Watches, creating a cohesive and intuitive ecosystem. A more seamless interaction between devices, from iPhones and iPads to Macs and Apple Watches, creating a cohesive and intuitive ecosystem. Advancements in Technology: Innovations in areas such as augmented reality, artificial intelligence, and cross-platform functionality that enhance the overall value of Apple's products. Innovations in areas such as augmented reality, artificial intelligence, and cross-platform functionality that enhance the overall value of Apple's products. Reinforced Ecosystem Strength: A unified operating system that solidifies Apple's reputation for delivering a polished and integrated user experience. However, this strategy is not without risks. Apple will face increased pressure to deliver a fantastic operating system that meets high user expectations. Any missteps, such as delays or compatibility issues, could disrupt the ecosystem and potentially erode user trust. The Road Ahead Apple's decision to forgo iOS 19 represents a bold and forward-thinking shift in its approach to software development. By focusing on long-term innovation and addressing deeper challenges within its ecosystem, the company aims to create a more robust and future-ready platform. While this move introduces short-term uncertainty, it highlights Apple's commitment to pushing technological boundaries and maintaining its leadership in the industry. As a user, you can anticipate significant changes in the coming years. From enhanced device compatibility to new features, Apple's new strategy has the potential to redefine your experience across its ecosystem. While the absence of iOS 19 may feel like a disruption, it could ultimately pave the way for a more cohesive, innovative, and future-focused Apple platform. Advance your skills in Apple iOS 19 by reading more of our detailed content. Source & Image Credit: iDeviceHelp Filed Under: Apple, Apple iPhone, Technology News, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Forbes
4 days ago
- Business
- Forbes
Smarter Engineers, Not Fewer with AI-Augmented Software Development
Smarter Engineers, Not Fewer I spent a day in the Silicon Valley with a number of enterprise CTOs driving innovation globally, and the CEO of an AI-native integrated development environment (IDE) startup - Windsurf. It provided me a great window into how software development is evolving. On the flight back, I was reflecting on the conversations, and here are my key takeaways on the rise of AI-Augmented Software Development: A New Development Stack is taking shape: Platforms like Cursor, Windsurf, Cognition's Devin and Microsoft's GitHub Copilot Workspace are pushing software creation beyond traditional IDEs. They're blending AI-native coding, persistent memory, automated workflows, automated workflows, and even autonomous task execution. This is not just about co-piloting code — it's enabling developers (and increasingly, non-developers) to move faster, more confidently, and with a radically different toolkit. For more on how modern data platforms are evolving to support AI-native tooling, see AI Maturity and Data Platforms: A Strategic Framework. And we're seeing a decisive shift beyond traditional IDEs. Platforms like natural language coding, context aware autocomplete, codebase understanding, and smart rewrites are redefining how software is built, and by who — and ushering in the new age of 'vibe coding' - coding in a relaxed, flowy, intuitive state, where the focus is less on structured problem-solving and more on experimenting, and following the creative 'vibe' of the moment - ushering in a new spate of creativity and innovation. But even with rapid progress, it's clear we're still early in the journey of AI-Augmented Software Development. Some of the key challenges that are emerging include the lack of persistent context - most models don't retain memory across interactions unless explicitly designed to. Or small-sample fragility - unlike humans, today's AI systems struggle to generalize confidently from limited data points. These limitations are why AI-Augmented Development requires more than just plugging models into the workflow. It demands critical thinking, engineering judgement and system design - taking the new role of the software developer higher up in the value stack. Some fear that AI will reduce the need for engineers. What I'm seeing is exactly the opposite: the expectations for developers are rising — and so is their leverage. What used to take months now takes a couple weeks; what needed a team now often takes one engineer - working with the right AI stack. This raises the ROI per developer, which in turn strengthens the business case for deeper investment in R&D - which in turn drives more software innovation. So it's not about fewer engineers. It's about more capable ones. I have been tracking the rise of Agentic AI and the penetration of Generative AI use cases across large enterprises, in part through the lens of our think tank - the Executive Technology Board, with some 150+ Fortune 1000 CIO, CTO, CDO and CAIO global members. In all the work we do with Generative AI - across sales and marketing and supply chain and back-office processing and R&D, etc. - if you're looking for a top enterprise use case where generative AI is already 'in the money,' — software development is clearly where it's at. For a deeper exploration of how and why Agentic AI is reshaping organizational structures and work paradigms, refer to Why the Buzz on Agentic AI. This isn't the end of engineering — it's the start of a more powerful, AI-augmented era — and the companies that embrace it now will define the next generation of enterprise innovation. The expectations of what can be built are shifting dramatically. The pace is accelerating. And the canvas is only getting bigger.
Forbes
4 days ago
- 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.
