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Microsoft launches GitHub Spark that builds full stack apps with simple prompts
Microsoft launches GitHub Spark that builds full stack apps with simple prompts

Hindustan Times

time25-07-2025

  • Business
  • Hindustan Times

Microsoft launches GitHub Spark that builds full stack apps with simple prompts

Build full-stack apps with just a prompt, no coding needed! Microsoft CEO Satya Nadella announced Spark, an innovative AI tool designed to enable users to build full-stack applications by simply providing prompts in natural language. Spark tool will bring app development accessible to everyone, including seasoned developers and even users with no coding background. The tool is currently in public preview with plans for wider rollout in the coming months. Spark eliminated the need for learning advanced coding, configuring servers or writing a single line of code. Users can just describe their needs and requirements in a simple prompt and the tool will do its job. For example, let's say you want to 'create a website that recommends games related to your favourite titles', Spark will use LLM like Claude Sonnet 4 to interpret and implement your requirements. It will then automatically generate both front and backend components without manual intervention. Key features of Spark It provides real-time previews of the apps requested by the user, which makes it easier to refine the concept before starting to build the app. Spark manages everything automatically including hosting, database setup, authentication and deployment tasks. The project seamlessly integrates with GitHub's tools like GitHub Actions and Dependabot. Users can add AI functionality to their apps like a chatbot using models from OpenAI, Meta, DeepSeek and xAI without needing to handle complex integrations. For users with no coding experience, it offers simple drag-and-drop visual controls. And professional coders can dive directly into code with GitHub Copilot. Spark allows users to collaborate with Copilot agents, create repos and scale their apps from prototype to products using GitHub's strong infrastructure. Pricing and availability Spark is currently available through public preview for GitHub Copilot Pro+ subscribers. A broader rollout is planned in the coming months. The Copilot Pro+ subscription is $39 a month or $390 a year, which includes access to the Spark tool. It can be accessed via the GitHub dashboard with an eligible subscription.

GitHub's new AI writes code from plain English: Are developer jobs being phased out?
GitHub's new AI writes code from plain English: Are developer jobs being phased out?

Time of India

time25-07-2025

  • Business
  • Time of India

GitHub's new AI writes code from plain English: Are developer jobs being phased out?

GitHub has just dropped something that might make seasoned developers either excited or deeply worried. Their latest creation, GitHub Spark, promises to let anyone build complete applications without touching a single line of code. Tired of too many ads? go ad free now The implications for the tech industry could be massive. This isn't just another drag-and-drop website builder. GitHub Spark uses artificial intelligence, specifically Anthropic's Claude Sonnet 4 model, to transform plain English descriptions into functioning software. Tell it what you want, and it builds both the front-end interface and back-end infrastructure. The whole process supposedly takes minutes rather than months. The announcement came through GitHub's blog, and the pitch sounds almost too good to be true; no setup, no configuration, and no headaches. For an industry built on complexity and technical expertise, this represents a fundamental shift in how software gets made. Building apps becomes as easy as conversing GitHub Spark's core promise revolves around natural language processing. Users describe their application idea in everyday language, and the AI handles the technical translation. Want a task management system? Describe it. Need an inventory tracker? Just explain what it should do. The platform takes care of databases, user interfaces, and all the connecting pieces in between. The system goes beyond basic functionality too. It automatically integrates advanced AI capabilities from major providers like OpenAI, Meta, and DeepSeek. Users don't need to understand API keys or manage complex integrations, everything happens behind the scenes. Tired of too many ads? go ad free now For Copilot Pro+ subscribers, the tool comes included, offering additional features for refining and improving applications after they're built. Perhaps most impressively, GitHub Spark promises "one-click deployment" for finished applications. The traditional headaches of server configuration, hosting setup, and deployment pipelines disappear entirely. Users can also integrate GitHub Actions and Dependabot with minimal effort, streamlining the entire software lifecycle. A new dilemma for developers This development raises uncomfortable questions about the future of programming as a profession. Building full-stack applications traditionally requires mastery of multiple programming languages, frameworks, and deployment strategies. If AI can handle these tasks automatically, what happens to the developers who spent years acquiring these skills? The emergence of "vibe coding", where people create software based purely on ideas rather than technical knowledge – suggests we're entering uncharted territory. Non-technical entrepreneurs, designers, and domain experts could soon build sophisticated applications without hiring development teams. However, the reality might be more nuanced. Rather than replacing developers entirely, tools like GitHub Spark could shift their focus towards higher-level responsibilities. Instead of writing basic CRUD operations or configuring deployment pipelines, developers might concentrate on AI model fine-tuning, security auditing, and architectural decision-making. The role could evolve into something resembling "AI management", ensuring that automatically generated code meets quality standards, performs efficiently, and remains secure. Developers might become more like supervisors and quality controllers rather than code writers. Productivity and expertise to go hand-in-hand Recent events highlight the potential dangers of over-relying on AI for critical development tasks. Replit's AI coding agent recently caused a significant database failure, demonstrating that automated tools aren't infallible. While GitHub Spark promises reliability, the risk of AI-generated errors making it into production systems remains real. These incidents highlight the importance of human oversight in AI-assisted development. Even if tools like GitHub Spark can generate working code quickly, someone still needs to understand what that code does and whether it's doing it safely. This creates an interesting paradox: as AI makes coding more accessible, the need for people who truly understand code becomes more critical. The challenge for the industry will be striking the right balance. AI tools offer tremendous productivity gains and democratise software creation, but they also introduce new categories of risk that require human expertise to manage effectively. What possibilities does the future hold GitHub Spark represents more than just a new development tool, it signals a fundamental transformation in how software gets built. The barrier to creating applications is dropping dramatically, potentially unleashing creativity from people who were previously locked out by technical complexity. For experienced developers, this shift might initially feel threatening. However, it could also be liberating. Freed from routine coding tasks, developers might focus on more strategic work: designing system architectures, ensuring security, and solving complex business problems that require human insight. Whether this evolution strengthens or weakens the developer profession depends largely on how quickly the community adapts to working alongside AI rather than competing with it. The most successful developers of the future might be those who learn to harness these tools whilst maintaining the critical thinking skills to guide them effectively.

LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows
LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows

Business Upturn

time09-07-2025

  • Business
  • Business Upturn

LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows

Business Wire India LambdaTest, a GenAI-powered quality engineering platform, has announced the release of SmartUI's Smart Branching and Baseline Management, a major leap forward in visual testing. This update eliminates long-standing bottlenecks caused by outdated baseline strategies and introduces an intelligent, streamlined way for development teams to manage visual testing across complex Git workflows. Modern development teams utilise feature branches, release versions, and hotfix workflows; however, most visual testing tools still rely on comparisons against the main branch, resulting in irrelevant failures and time-consuming approvals. LambdaTest's SmartUI changes that with features purpose-built for today's branching strategies. Smart Branch Comparison ensures visual tests are run against the correct baseline, comparing within the same feature branch instead of defaulting to the main. Flexible Merging Options automatically create and approve merged visual states, eliminating the need for manual approvals. Dynamic Baselines allow teams to configure baselines according to their release strategy, whether by branch, build, or dynamic references. These innovations are delivered through a redesigned Visual Merge Studio interface, offering smart recommendations, branch-aware comparisons, and intuitive controls that reduce manual effort by 90%, even for non-technical users. With seamless GitHub Actions integration and the ability to promote visual tests across staging and production environments, SmartUI now plays a central role in accelerating modern DevOps pipelines. 'Visual testing should work with your workflow, not against it,' said Mayank Bhola, Co-Founder and Head of Product at LambdaTest. 'Smart Branching and Baseline Management is a response to what development teams have been asking for context-aware visual testing that just makes sense. This isn't just a feature update; it's a foundational shift that unlocks speed and clarity for developers, QA, and product teams alike.' SmartUI's latest capabilities are now available to all enterprise users immediately. LambdaTest continues to invest in deeper integrations and automation enhancements to further embed visual QA into the fabric of modern software delivery. About LambdaTest LambdaTest is a GenAI-powered Quality Engineering Platform that empowers teams to test intelligently, smarter, and ship faster. Built for scale, it offers a full-stack testing cloud with 10K+ real devices and 3,000+ browsers. With AI-native test management, MCP servers, and agent-based automation, LambdaTest supports Selenium, Appium, Playwright, and all major frameworks. AI Agents like HyperExecute and KaneAI bring the power of AI and cloud into your software testing workflow, enabling seamless automation testing with 120+ integrations. LambdaTest Agents accelerate your testing throughout the entire SDLC, from test planning and authoring to automation, infrastructure, execution, RCA, and reporting. For more information, please visit View source version on Disclaimer: The above press release comes to you under an arrangement with Business Wire India. Business Upturn take no editorial responsibility for the same. Ahmedabad Plane Crash

LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows
LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows

Yahoo

time08-07-2025

  • Business
  • Yahoo

LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows

SmartUI now aligns visual testing with real-world development practices, eliminating baseline confusion and making visual QA effortless across teams SAN FRANCISCO, July 08, 2025--(BUSINESS WIRE)--LambdaTest, a GenAI-powered quality engineering platform, has announced the release of SmartUI's Smart Branching and Baseline Management, a major leap forward in visual testing. This update eliminates long-standing bottlenecks caused by outdated baseline strategies and introduces an intelligent, streamlined way for development teams to manage visual testing across complex Git workflows. Modern development teams utilise feature branches, release versions, and hotfix workflows; however, most visual testing tools still rely on comparisons against the main branch, resulting in irrelevant failures and time-consuming approvals. LambdaTest's SmartUI changes that with features purpose-built for today's branching strategies. Smart Branch Comparison ensures visual tests are run against the correct baseline, comparing within the same feature branch instead of defaulting to the main. Flexible Merging Options automatically create and approve merged visual states, eliminating the need for manual approvals. Dynamic Baselines allow teams to configure baselines according to their release strategy, whether by branch, build, or dynamic references. These innovations are delivered through a redesigned Visual Merge Studio interface, offering smart recommendations, branch-aware comparisons, and intuitive controls that reduce manual effort by 90%, even for non-technical users. With seamless GitHub Actions integration and the ability to promote visual tests across staging and production environments, SmartUI now plays a central role in accelerating modern DevOps pipelines. "Visual testing should work with your workflow, not against it," said Mayank Bhola, Co-Founder and Head of Product at LambdaTest. "Smart Branching and Baseline Management is a response to what development teams have been asking for context-aware visual testing that just makes sense. This isn't just a feature update; it's a foundational shift that unlocks speed and clarity for developers, QA, and product teams alike." SmartUI's latest capabilities are now available to all enterprise users immediately. LambdaTest continues to invest in deeper integrations and automation enhancements to further embed visual QA into the fabric of modern software delivery. About LambdaTest LambdaTest is a GenAI-powered Quality Engineering Platform that empowers teams to test intelligently, smarter, and ship faster. Built for scale, it offers a full-stack testing cloud with 10K+ real devices and 3,000+ browsers. With AI-native test management, MCP servers, and agent-based automation, LambdaTest supports Selenium, Appium, Playwright, and all major frameworks. AI Agents like HyperExecute and KaneAI bring the power of AI and cloud into your software testing workflow, enabling seamless automation testing with 120+ integrations. LambdaTest Agents accelerate your testing throughout the entire SDLC, from test planning and authoring to automation, infrastructure, execution, RCA, and reporting. For more information, please visit View source version on Contacts press@

LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows
LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows

Business Wire

time08-07-2025

  • Business
  • Business Wire

LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows

SAN FRANCISCO--(BUSINESS WIRE)-- LambdaTest, a GenAI-powered quality engineering platform, has announced the release of SmartUI's Smart Branching and Baseline Management, a major leap forward in visual testing. This update eliminates long-standing bottlenecks caused by outdated baseline strategies and introduces an intelligent, streamlined way for development teams to manage visual testing across complex Git workflows. LambdaTest Unveils Smart Branching and Baseline Management to Modernize Visual Testing Workflows Share Modern development teams utilise feature branches, release versions, and hotfix workflows; however, most visual testing tools still rely on comparisons against the main branch, resulting in irrelevant failures and time-consuming approvals. LambdaTest's SmartUI changes that with features purpose-built for today's branching strategies. Smart Branch Comparison ensures visual tests are run against the correct baseline, comparing within the same feature branch instead of defaulting to the main. Flexible Merging Options automatically create and approve merged visual states, eliminating the need for manual approvals. Dynamic Baselines allow teams to configure baselines according to their release strategy, whether by branch, build, or dynamic references. These innovations are delivered through a redesigned Visual Merge Studio interface, offering smart recommendations, branch-aware comparisons, and intuitive controls that reduce manual effort by 90%, even for non-technical users. With seamless GitHub Actions integration and the ability to promote visual tests across staging and production environments, SmartUI now plays a central role in accelerating modern DevOps pipelines. 'Visual testing should work with your workflow, not against it,' said Mayank Bhola, Co-Founder and Head of Product at LambdaTest. 'Smart Branching and Baseline Management is a response to what development teams have been asking for context-aware visual testing that just makes sense. This isn't just a feature update; it's a foundational shift that unlocks speed and clarity for developers, QA, and product teams alike.' SmartUI's latest capabilities are now available to all enterprise users immediately. LambdaTest continues to invest in deeper integrations and automation enhancements to further embed visual QA into the fabric of modern software delivery. About LambdaTest LambdaTest is a GenAI-powered Quality Engineering Platform that empowers teams to test intelligently, smarter, and ship faster. Built for scale, it offers a full-stack testing cloud with 10K+ real devices and 3,000+ browsers. With AI-native test management, MCP servers, and agent-based automation, LambdaTest supports Selenium, Appium, Playwright, and all major frameworks. AI Agents like HyperExecute and KaneAI bring the power of AI and cloud into your software testing workflow, enabling seamless automation testing with 120+ integrations. LambdaTest Agents accelerate your testing throughout the entire SDLC, from test planning and authoring to automation, infrastructure, execution, RCA, and reporting.

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