Latest news with #VisualStudioCode
National Post
13 hours ago
- Business
- National Post
CFP Consulting Inc. Launches FRONT-END.AI Worldwide – AI-Powered HTML Generation Tool
Article content Article content TOKYO — CFP Consulting Inc. is proud to announce the global launch of an AI-powered low-code tool designed to streamline front-end development for web engineers worldwide. Article content Article content Article content is a generative AI tool specialized in website design that accelerates front-end development by automatically generating HTML from design data. It converts Figma designs into HTML code directly within Visual Studio Code (VS Code). By combining Article content our patented 'AI that understands design' (granted in the US, Japan, and China) Article content with Article content the latest large language model (LLM) Article content , it provides semantic code that significantly reduces work time. This enables engineers to focus on more creative tasks. Article content Service Website: VS Code Plugin: Key Features of Advanced Adaptability to Design Structures By exporting design comps, assets, and JSON files in a single batch via the Figma plugin, 'AI that understands design' automatically generates HTML and partial CSS within VS Code; no need to tidy up the layer structure. Available Worldwide With a simple account registration, anyone around the world can access directly within VS Code. High Accuracy with Generative AI (LLM) Leveraging an LLM, automatically generates semantically rich, structurally sound HTML code. The resulting code is highly readable and maintainable, contributing to even greater efficiency in front-end development. Free Trial Plan Available A trial plan is available to explore the full potential of The trial allows up to 5 uses of the service with access to the same core features as the paid plans. Simple Credit Card Payments Users can easily upgrade to paid plans with secure credit card support. How to Get Started To start using follow these steps: Article content Article content Article content
Business Wire
13 hours ago
- Business
- Business Wire
CFP Consulting Inc. Launches FRONT-END.AI Worldwide – AI-Powered HTML Generation Tool
TOKYO--(BUSINESS WIRE)--CFP Consulting Inc. is proud to announce the global launch of an AI-powered low-code tool designed to streamline front-end development for web engineers worldwide. is a generative AI tool specialized in website design that accelerates front-end development by automatically generating HTML from design data. It converts Figma designs into HTML code directly within Visual Studio Code (VS Code). By combining our patented "AI that understands design" (granted in the US, Japan, and China) with the latest large language model (LLM), it provides semantic code that significantly reduces work time. This enables engineers to focus on more creative tasks. Service Website: VS Code Plugin: Key Features of Advanced Adaptability to Design Structures By exporting design comps, assets, and JSON files in a single batch via the Figma plugin, 'AI that understands design' automatically generates HTML and partial CSS within VS Code; no need to tidy up the layer structure. Available Worldwide With a simple account registration, anyone around the world can access directly within VS Code. High Accuracy with Generative AI (LLM) Leveraging an LLM, automatically generates semantically rich, structurally sound HTML code. The resulting code is highly readable and maintainable, contributing to even greater efficiency in front-end development. Free Trial Plan Available A trial plan is available to explore the full potential of The trial allows up to 5 uses of the service with access to the same core features as the paid plans. Simple Credit Card Payments Users can easily upgrade to paid plans with secure credit card support. How to Get Started To start using follow these steps: Complete account registration at After plugin installation and account registration, can be accessed directly within VS Code to begin using the Trial Plan. About CFP Consulting Inc.
Techday NZ
18-06-2025
- Business
- Techday NZ
Latent AI unveils platform to speed & secure edge AI rollout
Latent AI has announced the launch of Latent Agent, an edge AI platform designed to simplify the management and security of deploying artificial intelligence models at the edge. Built upon the Latent AI Efficient Inference Platform (LEIP), Latent Agent is designed to automate optimisation and deployment tasks, enabling developers to iterate, deploy, monitor, and secure edge AI models at scale. The company states that the new platform addresses the complexity issues that have made enterprise adoption of edge AI challenging. Complexity of traditional MLOps Traditional machine learning operations (MLOps) force developers to manually optimise models for specific hardware, often without a comprehensive understanding of device constraints. This can create pressure on teams, as optimisation workflows typically demand multiple specialists per hardware pipeline, and the complexity multiplies with each additional hardware target. According to Latent AI, this challenge has extended go-to-market timelines to as much as twelve weeks and led to substantial resource overhead for many organisations, particularly those looking to scale across diverse edge devices such as drones and sensors. "The rapid shift to edge AI has exposed gaps in traditional MLOps, slowing innovation and scalability," said Sek Chai, CTO and Co-founder of Latent AI. "Latent Agent eliminates the model-to-hardware guessing game, replacing weeks-long deployment cycles and scarce expertise with intelligent automation. This is a game-changer for enterprises racing to stay competitive." Platform features Latent Agent aims to streamline the lifecycle of edge AI, spanning exploration, training, development, and deployment across a range of hardware platforms. A key feature is its natural language interface, which lets developers set their AI requirements while receiving model-to-hardware recommendations from Latent AI Recipes. This knowledge base draws on 12TB of telemetry data compiled from over 200,000 device hours. Within the platform, a Visual Studio Code (VS Code) extension has been introduced to incorporate these agentic capabilities into developer workflows, providing an interface for requirement gathering and deployment. Other capabilities highlighted include an adaptive model architecture that can autonomously detect performance drift in deployed models and take remedial actions, such as retraining or over-the-air updates, without human intervention. Latent Agent's Recipes leverages automatically benchmarked model-to-hardware configurations, aiming to enable faster iteration and model deployment. The company states this accelerated approach will remove bottlenecks caused by manual processes and facilitate secure management of AI infrastructure at scale. "The biggest barrier to edge AI at scale has always been the complexity of optimising models for constrained hardware environments," said Dan Twing, President and COO of Enterprise Management Associates, and Principal Analyst for Intelligent Automation. "Latent Agent addresses that challenge head-on. It streamlines the hardest part of edge AI—getting high-performance models running on diverse devices—so teams can move faster and scale confidently." Business focus Latent Agent is being presented as a tool to accelerate development timelines, allow autonomous operations, and support scaling. By reducing the need for deep machine learning or hardware expertise, the company claims deployment times can be shortened from twelve weeks to a matter of hours. The agentic platform's compile-once, deploy-anywhere function is said to support any chip, operating system, or form factor, thereby assisting in the management of thousands of edge devices simultaneously. Furthermore, Latent Agent incorporates security measures such as model encryption, watermarking, and compliance with Department of Defence (DoD) security standards, designed to protect sensitive deployments. "At Latent AI, we've always believed that edge AI should be as simple to deploy as it is powerful to use," said Jags Kandasamy, CEO and Co-founder of Latent AI. "Latent Agent represents the natural evolution of our mission—transforming edge AI from a specialised engineering challenge into an accessible conversation. By combining our proven optimisation expertise with agentic intelligence, we're not just making edge AI faster; we're making it possible for any developer to achieve what previously required a team of ML experts." The new platform is now available to organisations seeking to improve deployment speed, operational autonomy, scalability, and security for edge AI models.
Arabian Post
07-06-2025
- Business
- Arabian Post
Mistral Code Sets New Benchmark for Enterprise AI Development
Mistral AI has unveiled Mistral Code, a comprehensive AI-powered coding assistant designed specifically for enterprise software development. The platform integrates advanced language models with secure, customisable deployment options, aiming to address the stringent compliance and security requirements of large organisations. Mistral Code offers a suite of features tailored for enterprise needs, including in-IDE assistance, on-premise deployment capabilities, and robust enterprise tooling. Built upon the open-source project Continue, it enhances the base with role-based access control, audit logging, and usage analytics. The assistant supports integration with popular development environments such as JetBrains IDEs and Visual Studio Code, currently available in private beta. A standout feature of Mistral Code is its emphasis on customisation. Enterprises can fine-tune the AI models to align with their specific codebases, facilitating more accurate code completions and refactoring suggestions. This level of adaptability is designed to improve developer productivity while maintaining alignment with organisational coding standards. ADVERTISEMENT Security and data sovereignty are central to Mistral Code's design. The platform allows for deployment in various environments, including cloud, reserved capacity, or air-gapped on-premises GPUs, ensuring that sensitive codebases remain within the organisation's control. This flexibility addresses common concerns about data exposure associated with cloud-based AI tools. Mistral AI's approach positions Mistral Code as a direct competitor to existing solutions like GitHub Copilot, particularly in scenarios where data privacy and customisation are paramount. By offering a platform that combines advanced AI capabilities with enterprise-grade security and customisation, Mistral AI aims to meet the complex needs of modern software development teams.
Geeky Gadgets
23-05-2025
- Business
- Geeky Gadgets
Visual Studio Code in No Longer an IDE Editor : VSC Evolution
What if the tools you've relied on for years suddenly became something entirely different? That's the reality developers are waking up to as Visual Studio Code, once heralded as a lightweight and flexible IDE, has evolved into a innovative AI-powered editor. This shift isn't just a minor upgrade—it's a redefinition of what a coding environment can be. By integrating advanced AI tools like GitHub Copilot, Visual Studio Code now offers capabilities that were unimaginable just a few years ago, from auto-generating code to streamlining debugging. But with this transformation comes a wave of unease: Will these tools enhance creativity or erode the foundational skills that define great developers? The answer is far from simple, and the stakes couldn't be higher. In this overview, Ed Andersen explores how Visual Studio Code's AI-driven evolution is reshaping the software development landscape and what it means for you as a developer. You'll discover how tools like GitHub Copilot are redefining productivity, but also why their proprietary nature has sparked debate within the open source community. Along the way, we'll examine the broader implications of Microsoft's strategic shifts, including its recent layoffs and the uncertain future of cross-platform development frameworks like .NET MAUI. Whether you see AI as a innovative ally or a disruptive force, one thing is clear: the role of the developer is changing, and understanding these shifts is essential for navigating what lies ahead. AI's Impact on Development Microsoft Layoffs and Strategic Shifts Microsoft's recent layoffs have raised important questions about the company's priorities and their potential impact on the developer ecosystem. Among those affected were senior engineers from the .NET MAUI and .NET on Android teams, both of which are critical to Microsoft's cross-platform development efforts. Tools like MAUI have been pivotal in allowing you to create applications for multiple platforms using a single codebase. The layoffs also extended to AI leadership roles, adding further complexity to Microsoft's evolving AI strategy. For developers, this restructuring introduces uncertainty about the future of tools and frameworks you may depend on. Speculation has grown about whether Microsoft might reduce its focus on certain cross-platform initiatives, potentially turning to acquisitions like Avalonia or Uno Platform to address gaps. These developments emphasize the need for you to remain vigilant as the tools and technologies you rely on continue to change. Understanding these shifts will help you adapt to the evolving landscape and make informed decisions about the frameworks and platforms you choose to work with. Visual Studio Code's AI-Powered Transformation The transformation of Visual Studio Code into an AI-driven editor represents a pivotal moment in software development. With the seamless integration of GitHub Copilot, AI assistance has become an essential part of the coding process. This integration allows you to generate code snippets, debug issues, and refactor projects with enhanced efficiency. However, the closed-source nature of GitHub Copilot has drawn criticism, particularly from advocates of open source principles who value transparency and community-driven innovation. While AI tools like GitHub Copilot can significantly boost your productivity, they also present challenges. Over-reliance on these tools could lead to a decline in foundational programming skills, as developers may become more dependent on AI-generated solutions. Furthermore, the proprietary nature of such tools could limit your ability to innovate independently, potentially conflicting with the collaborative ethos that has long been a cornerstone of the development community. As you integrate these tools into your workflow, it is essential to strike a balance between using AI for efficiency and maintaining your technical expertise. Visual Studio Code IDE, Becomes An AI Editor Watch this video on YouTube. Take a look at other insightful guides from our broad collection that might capture your interest in AI-Powered Editors. What's New in .NET 10 Preview 4? Amid these fantastic changes, .NET 10 Preview 4 introduces updates aimed at improving your workflow. One notable addition is the asynchronous method for creating zip files, `CreateFromDirectoryAsync`. This feature addresses longstanding community feedback by providing a more efficient way to handle file compression tasks. Such updates demonstrate Microsoft's continued commitment to refining its tools, even as its broader focus shifts toward AI-driven solutions. For developers working with .NET, these enhancements can simplify routine tasks, allowing you to focus on solving more complex problems. However, the uncertainty surrounding Microsoft's cross-platform development strategy may temper your enthusiasm for these incremental improvements. As you evaluate these updates, it is important to consider how they fit into the larger context of Microsoft's evolving priorities and the potential implications for your projects. Implications for the Developer Community The evolution of Visual Studio Code and the updates to .NET 10 Preview 4 reflect broader trends that are reshaping the software development industry. As AI tools become increasingly integrated into your workflows, the role of the developer is undergoing a transformation. This raises critical questions about the future of software development, including the potential commoditization of developer roles and the shifting ethos of platforms like GitHub. For instance, as reliance on AI-driven tools grows, there may be less emphasis on foundational programming skills. This could change how new developers enter the field and how experienced developers maintain their expertise. Additionally, the changing nature of platforms like GitHub, which has historically been a hub for open source collaboration, may challenge your ability to contribute to and benefit from community-driven projects. These shifts underscore the importance of staying informed and adaptable as the industry continues to evolve. The integration of AI into development tools also presents opportunities for increased efficiency and innovation. However, it is crucial to approach these changes with a critical perspective, considering both the benefits and the potential risks. By actively engaging with these developments, you can position yourself to thrive in a dynamic and rapidly changing environment while contributing to the ongoing evolution of the developer community. Media Credit: Ed Andersen Filed Under: AI, 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.
