Latest news with #developers
Irish Times
4 hours ago
- Business
- Irish Times
Residential construction slides by over 10% in first quarter of 2025 compared to previous year
Residential construction slumped by 10.6 per cent in the first three months of 2025 compared to the same period last year, Central Statistics Office figures on Friday show. Production in the sector was also down 4.3 per cent compared with the previous quarter. It comes as a new report from estate agents JLL says that Dublin faces a second consecutive year of declining apartment completions , with the numbers built this year expected to be 40 per cent down on the 2023 peak. The group's Dublin Living Market Report, which covers the first half of 2025, said it will take several years before apartment output increases. Completions this year will be down by 17.8 per cent on 2024 levels. Outside residential construction, the CSO data showed production volumes in building and construction more generally rose by 13.5 per cent in the first quarter compared with the same period last year. It was up 4.9 per cent on the previous quarter. READ MORE On an annual basis, volumes in the non-residential building and civil engineering sectors rose by 13.7 per cent and 35.9 per cent respectively. That helped boost overall construction production by value by 6.5 per cent on a quarterly basis and by 19 per cent on the same period last year. JLL's report said apartment completions are expected to rebound in 2026 and 2027 on the back of a 'surge' in apartment construction starts last year when developers accelerated projects to capitalise on levy waivers. Although some house building projects with lodged commencement notices did not proceed, JLL said its research suggests a large number of apartment units with lodged notices did start construction. While apartment deliveries are projected to increase over the next two years, JLL noted that the 2024 report of the Housing Commission indicates it will still fall short of meeting demand. It estimates that between 19,600 and 36,400 apartments are needed annually to satisfy housing needs. It said apartment completions will fall below this by an average of 49 per cent in 2026 and 2027. Elsewhere, JLL said Ireland's residential investment market experienced a 'sluggish start' to 2025, with just €10 million deployed across two transactions in the first quarter. However, it noted there are 'signs of modest activity' in the second quarter, fuelled by a significant deal under offer and the expected completion of Ronan Group's Spencer Place disposal to Ardstone Capital. This transaction, involving 393 apartments in Dublin 1, is valued at approximately €177 million. The outlook for living investment in Ireland is 'cautiously optimistic', JLL said, underpinned by 'strong economic fundamentals and an engaged Government attempting to attract institutional investment'. 'The Government's active pursuit of institutional investment in the living sector is a positive step toward boosting the supply of new units, especially as apartment completions are expected to decline in 2025 compared to 2024,' the group said. 'While rent reforms might require further adjustments to generate the desired large-scale investment, the current Coalition has shifted the stance away from previous governments and now recognises the significant role private investors will play in addressing the housing crisis.' The construction industry is lobbying for additional measures beyond rent reforms, such as VAT waivers for high-density developments or development levy waivers to improve project viability. 'A consensus has emerged among construction bodies, the Irish Government, and the European Commission regarding the critical need for productive investment in housing,' JLL added.
Geeky Gadgets
7 hours ago
- Geeky Gadgets
Get Ready for iOS 26 Beta 2: What It Means for Your iPhone
Apple is set to release iOS 26 Developer Beta 2 on June 23, 2024, with the public beta following in July. This update aims to refine the features introduced in Beta 1 while addressing critical bugs and improving overall performance. If you're planning to test this beta version, understanding its new features, potential challenges, and best practices is essential for a smoother experience. The video below from iDeviceHelp gives us more details on what to expect from iOS 26 Beta 2. Watch this video on YouTube. Release Timeline: Key Details The Developer Beta 2 will be available starting June 23, 2024. For non-developers, the public beta is expected to roll out in July. This staggered release schedule allows developers and early adopters to explore the latest features while helping Apple identify and resolve any lingering issues before the final version is launched. If you're not a developer, waiting for the public beta is advisable, as it generally offers a more stable experience compared to the developer version. New Features: Spotlight on Liquid Glass Design One of the most notable features in iOS 26 is the 'liquid glass' design, which introduces a sleek, semi-transparent aesthetic to the user interface. This design gives the operating system a modern and dynamic appearance, enhancing visual appeal. However, user feedback has been mixed. While many users appreciate the fresh look, others find the transparency distracting during daily use. To address these concerns, Apple has included customization options in the accessibility settings. These options allow users to adjust the transparency levels, tailoring the interface to their preferences. This flexibility ensures that the design can cater to a broader range of user needs, balancing aesthetics with functionality. Performance Challenges and Known Issues As with any beta software, iOS 26 Beta 1 has experienced performance challenges that testers should be aware of. Some of the key issues reported include: Noticeable battery drain across various devices, reducing overall usage time. across various devices, reducing overall usage time. Devices running warmer than usual, though no critical overheating warnings have been reported. These issues highlight the importance of testing beta software on secondary devices rather than your primary phone. Apple is expected to address these concerns in Beta 2, but testers should remain cautious and prepared for potential disruptions. Bug Fixes and Stability Enhancements Apple has already resolved some critical bugs from Beta 1, such as the reboot issue affecting iPhone 15 and 16 models. However, several problems persist, including: Frequent crashes when using third-party apps. when using third-party apps. Intermittent Face ID malfunctions, leading to authentication delays. Beta 2 is anticipated to bring further stability improvements, making the software more reliable for testers. While these updates won't eliminate all issues, they represent a significant step toward a more polished and functional operating system. Developer Focus: Preparing for App Compatibility For developers, staying ahead of iOS updates is crucial to maintaining app functionality and user satisfaction. Beta releases often introduce changes that can impact how apps perform, requiring developers to adapt quickly. With iOS 26 Beta 2, developers have an opportunity to: Test their apps against the latest system updates to identify compatibility issues. Use new tools and refinements introduced in the beta to enhance app performance. By addressing these updates early, developers can ensure a seamless experience for their users when the final version of iOS 26 is released. Advisory for Beta Testers Testing beta software comes with inherent risks, and Apple strongly advises against installing iOS 26 Beta on primary devices due to its instability. To minimize potential disruptions, consider the following precautions: Back up your data to safeguard against potential loss caused by bugs or crashes. to safeguard against potential loss caused by bugs or crashes. Use a secondary device for testing to avoid interruptions to your daily workflow. By following these steps, you can explore the new features and updates while mitigating potential risks associated with beta testing. A Preview of What's Ahead The release of iOS 26 Beta 2 marks an important phase in Apple's development process. With enhancements to the liquid glass design, critical bug fixes, and ongoing performance improvements, this update offers a more refined experience for testers. However, as with any beta software, it remains inherently unstable, making caution essential for those who choose to participate. Whether you're a developer optimizing your apps or an early adopter eager to explore new features, iOS 26 Beta 2 provides an exciting glimpse into the future of Apple's mobile ecosystem. Unlock more potential in iOS 26 Beta 2 release date by reading previous articles we have written. Source & Image Credit: iDeviceHelp Filed Under: Apple, Apple iPhone, Mobile Phone 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.
Geeky Gadgets
8 hours ago
- Business
- Geeky Gadgets
Gemini 2.5 Flash Hybrid Reasoning AI Optimized for AI Thinking for Efficiency
What if artificial intelligence could think only when you needed it to? Imagine a tool that seamlessly transitions between complex reasoning and straightforward processing, adapting to your specific needs without wasting resources. Enter Google's Gemini 2.5 Flash, a new AI model that redefines efficiency with its hybrid reasoning capabilities. By allowing developers to toggle between 'thinking' and 'non-thinking' modes, Gemini 2.5 Flash offers a level of control and adaptability that traditional AI systems simply can't match. Whether you're solving intricate problems or managing routine tasks, this innovation promises to deliver precision, scalability, and cost-efficiency—all tailored to your workflow. In this coverage, Prompt Engineering explore how Gemini 2.5 Flash is reshaping the AI landscape with its thinking budget optimization, multimodal processing, and enhanced token capacities. You'll discover how its unique architecture eliminates the need for separate models, streamlining operations while reducing costs. But it's not without its limitations—plateauing performance at higher token usage and capped reasoning budgets raise important questions about its scalability for resource-intensive projects. As we unpack its strengths and challenges, you'll gain a deeper understanding of whether Gemini 2.5 Flash is the right fit for your next AI endeavor. Sometimes, the real innovation lies in knowing when not to think. Gemini 2.5 Flash Overview Understanding Hybrid Reasoning At the core of Gemini 2.5 Flash lies its hybrid reasoning model, a feature that distinguishes it from traditional AI systems. This capability enables you to toggle 'thinking mode' on or off based on the complexity of the task. By managing the 'thinking budget'—the maximum number of tokens allocated for reasoning—you can optimize the model's performance to suit specific use cases. This approach eliminates the need for separate models for reasoning-intensive and simpler tasks, streamlining workflows and reducing operational overhead. Whether you're addressing intricate problem-solving scenarios or routine data processing, the model's adaptability ensures optimal performance. The ability to fine-tune the reasoning process provides a significant advantage, allowing you to allocate resources efficiently while achieving high-quality results. Cost-Efficiency and Competitive Pricing Gemini 2.5 Flash is designed with cost-conscious developers in mind, offering a pricing structure that reflects its focus on affordability and performance. The model's pricing tiers are as follows: Non-thinking mode: $0.60 per million tokens $0.60 per million tokens Thinking mode: $3.50 per million tokens This competitive pricing positions Gemini 2.5 Flash as a cost-effective alternative to other leading AI models, such as OpenAI and DeepSync. By integrating proprietary hardware and software, Google ensures a strong performance-to-cost ratio, making the model an attractive option for projects that require scalability without sacrificing quality. This balance between affordability and capability makes it a practical choice for developers aiming to optimize their resources. Gemini 2.5 Flash Hybrid Reasoning AI Model Watch this video on YouTube. Find more information on Hybrid Reasoning AI by browsing our extensive range of articles, guides and tutorials. Performance and Benchmark Comparisons In benchmark evaluations, Gemini 2.5 Flash ranks second overall on the Chatbot Arena leaderboard, trailing only OpenAI's O4 Mini in specific areas. However, it demonstrates significant improvements over its predecessor, Gemini 2.0 Flash, particularly in academic benchmarks. These advancements highlight the model's enhanced capabilities and its potential to deliver robust performance across various applications. While these results underscore its strengths, it is recommended that you test the model against your internal benchmarks to determine its suitability for your unique requirements. This hands-on evaluation will provide a clearer understanding of how Gemini 2.5 Flash can integrate into your workflows and meet your specific needs. Enhanced Token and Context Window Capabilities One of the standout features of Gemini 2.5 Flash is its enhanced token capacity, which significantly expands its utility for developers. The model supports: Maximum output token length: 65,000 tokens, making it ideal for programming tasks and applications requiring extensive outputs. 65,000 tokens, making it ideal for programming tasks and applications requiring extensive outputs. Context window: 1 million tokens, allowing the processing of large datasets or lengthy documents with ease. These enhancements provide a substantial advantage for handling complex inputs and generating detailed outputs. Whether you're working on data-heavy projects or applications requiring extensive contextual understanding, Gemini 2.5 Flash offers the tools necessary to manage these challenges effectively. Multimodal Processing for Diverse Applications Gemini 2.5 Flash extends its capabilities to multimodal processing, supporting a variety of input types, including video, audio, and images. This versatility makes it a valuable tool for industries such as media analysis, technical documentation, and beyond. However, it is important to note that the model does not include image generation features, which may limit its appeal for creative applications. Despite this limitation, its ability to process diverse input types enhances its utility across a wide range of use cases. Key Limitations to Consider While Gemini 2.5 Flash excels in many areas, it is not without its limitations. These include: Challenges with certain logical deduction tasks and variations of classic reasoning problems. A 'thinking budget' capped at 24,000 tokens, with no clear explanation for this restriction. Performance gains that plateau as token usage increases, indicating diminishing returns for resource-intensive tasks. These constraints highlight areas where the model may fall short, particularly for developers requiring advanced reasoning capabilities or higher token limits. Understanding these limitations is crucial for making informed decisions about the model's applicability to your projects. Strategic Value for Developers Google's Gemini 2.5 Flash reflects a strategic focus on cost optimization, scalability, and accessibility, making advanced AI technology available to a broader audience. Its hybrid reasoning capabilities, enhanced token and context window capacities, and multimodal processing features position it as a versatile and scalable tool for developers. By balancing quality, cost, and latency, the model caters to a wide range of applications, from data analysis to technical problem-solving. For developers seeking practical solutions that combine flexibility, performance, and affordability, Gemini 2.5 Flash offers a compelling option. Its ability to adapt to diverse tasks and optimize resource allocation ensures that it can meet the demands of modern AI challenges effectively. Media Credit: Prompt Engineering Filed Under: AI, 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.
Associated Press
a day ago
- Business
- Associated Press
Startups Can't Wait: Synviz Solutions Delivers Elite Tech Talent in Just 7 to 14 Days
Synviz's custom-built engineering teams ship features from day one for fast-moving startups. NEW YORK CITY, NY / ACCESS Newswire / June 19, 2025 / In the race to build, launch, and scale, startups and fast-growing product companies can't afford drawn-out hiring cycles or mismatched skill sets. They need world-class developers who can deliver - now. Synviz Solutions, a leading global technology partner, delivers high-performing, pre-vetted developers, engineers, and solution architects trained in the latest stacks and industry compliance. Synviz's talent is ready to join sprint cycles and ship features from day one, giving fast-moving startups the competitive edge they need to race - and win. Whether it's a React developer to accelerate velocity or a Quality Assurance engineer to ensure reliability, Synviz's talent launches impact-ready contributors to create tech teams for agencies, startups and more. 'The speed and quality were unmatched,' said Zoran Ploscar, CEO of Trillium Facility Management (USA). 'We got 3 senior engineers in 10 days, and they were delivering on sprint 1.' Whether a startup is building in healthtech, logistics, retail SaaS, or marketing AI, Synviz offers plug-and-play teams that blend seamlessly into its workflows - without the overhead of traditional hiring. Especially for niche, specialized hires like prompt engineers or automation specialists, Synviz is faster and more cost-effective than traditional hiring. Key Benefits for Startups & Product Teams: 'Synviz didn't just provide developers - they provided problem solvers who understood our product vision from day one,' said Dusty Ross, CEO of Victory Lawnscape (USA). Industries Synviz Solutions Has Helped: Core Success Stories: Lack of momentum and product development isn't just frustrating - for startups, it's the kiss of death. Synviz Solutions provides elite tech talent, pre-vetted and ready to go - in two weeks or less, ensuring startups can tackle the toughest tech challenges without delaying their roadmap. To learn more, visit or book a free appointment. About Synviz Solutions Synviz Solutions is a global technology partner delivering custom-built IT solutions that empower businesses to innovate and scale. Specializing in intelligent automation, software development, and data-driven solutions, Synviz combines deep technical expertise with a client-first approach. From UI/UX design to complex system integrations, Synviz creates transformative tools that solve real business challenges - like the game-changing GHL AI Assistant. Contact InformationZain Ul Abidin Khan CEO (+1) 313-479-1173 SOURCE: Synviz Solutions press release
Geeky Gadgets
a day ago
- Geeky Gadgets
The Secret Weapon Developers Are Using to Simplify AI Projects : Claude Code and Context7
What if the most tedious parts of coding—digging through outdated documentation, wrestling with API integrations, or manually updating frameworks—could be handled for you? Enter the Claude Code Context7 MCP Server, a new tool that's reshaping how developers approach AI projects. Imagine having a centralized hub with instant access to nearly 20,000 libraries, seamlessly integrated into your workflow. This isn't just a productivity boost; it's a paradigm shift. For developers juggling complex integrations or striving to stay ahead in the fast-evolving AI landscape, the Context7 MCP server promises to eliminate inefficiencies and let you focus on what truly matters: innovation. In this piece, All About AI explore how the Context7 MCP server is transforming AI development from the ground up. You'll discover how its centralized documentation repository, effortless integration with tools like Cloud Code, and advanced automation features can streamline your workflow in ways you didn't think possible. Whether you're tackling API-heavy projects or managing intricate codebases, this server offers a level of precision and ease that feels almost futuristic. But how does it achieve this, and what makes it a true game changer? Let's unpack the features and real-world applications that set it apart, and consider how it might redefine the way you code. Transforming AI Development Workflows The Importance of Centralized Documentation At the core of the Context7 MCP server lies its centralized documentation repository, which hosts an extensive collection of nearly 20,000 libraries. This comprehensive resource ensures you have instant access to up-to-date materials for tools such as OpenAI, Stripe, and Pyantic AI. Instead of navigating through multiple sources, you can find everything you need in one place, saving valuable time and reducing frustration. For example, when integrating Stripe webhooks, the server allows you to quickly locate precise documentation, making sure your implementation is both accurate and efficient. This centralized approach eliminates guesswork, allowing developers to focus on creating robust solutions. Effortless Integration with Development Tools The Context7 MCP server is engineered to integrate effortlessly with widely used development tools, including Cloud Code and other AI coding platforms. Its compatibility with remote server connections and slash command documentation ensures you can manage projects across diverse environments without interruptions. By embedding documentation access directly into your workflow, the server minimizes distractions and keeps you focused on critical development tasks. This seamless integration not only enhances productivity but also ensures that your projects remain aligned with industry standards. Claude Code Context7 MCP Server Overview Watch this video on YouTube. Discover other guides from our vast content that could be of interest on AI coding. Enhancing Workflow Automation One of the most powerful features of the Context7 MCP server is its ability to automate repetitive tasks, significantly improving workflow efficiency. It enables you to compile documentation into markdown files, verify code integrations, and update project frameworks with minimal effort. For instance, if you're developing an AI-powered video course platform, the server can handle tasks such as theme updates and framework checks, freeing you to concentrate on innovation and content creation. By automating these time-consuming processes, the server allows you to allocate more energy to strategic development. Streamlining API Calls and Integration Processes The server simplifies the often intricate process of API calls and integration setups. By providing clear and concise documentation, it reduces the risk of errors and accelerates development timelines. Additionally, it helps identify outdated code or missing features, making sure your projects remain functional and up-to-date. Whether you're incorporating OpenAI's capabilities or integrating Stripe into your project, the server makes these processes more intuitive and efficient. This streamlined approach not only saves time but also enhances the overall quality of your work. Customizable and Targeted Documentation Access Flexibility is a standout feature of the Context7 MCP server. It allows you to perform topic-specific searches, narrowing down documentation to meet your exact requirements. This capability is particularly valuable for specialized projects where precision is paramount. Additionally, the server supports manual copying and pasting of documentation, offering a hands-on option for developers who prefer direct control over their resources. This customizable access ensures that you can tailor the server's functionality to suit your unique development needs. Real-World Applications in AI Development The practical benefits of the Context7 MCP server are evident in its real-world applications. For example, it has played a pivotal role in the development and maintenance of AI-powered video course platforms. By automating essential tasks and making sure seamless integration with development tools, the server enables developers to focus on delivering high-quality solutions. This reduces the burden of administrative tasks, allowing for greater emphasis on innovation and creativity. The server's impact extends beyond individual projects, contributing to the broader advancement of AI development. Free Access and Continuous Updates The Context7 MCP server is currently available free of charge, making it an accessible resource for developers at all levels. Regular updates ensure that its documentation repositories remain current and relevant, aligning your projects with the latest industry standards and best practices. This commitment to continuous improvement makes the server a reliable and forward-thinking tool for AI developers. By staying up-to-date with evolving technologies, the server enables you to maintain a competitive edge in the fast-paced world of AI development. Media Credit: All About AI Filed Under: AI, 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.
