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Time Business News
13-06-2025
- Business
- Time Business News
Beyond Automation: AI's Game-Changing Impact on App Development in 2025 ?
Earlier app development was linear. You had your specs, wireframes and sprints. Now AI is not just helping it's shaping how apps are planned, coded, deployed and improved. If you're a startup founder chances are you've either already tried integrating AI tools or you're considering it and it's about measurable gains in speed, aim and personalization. User behavior is now predictable. Platforms like Uizard and Galileo AI can take text prompts and generate wireframes or high-fidelity screens in seconds. AI also runs heatmap simulations, predicts user drop-off points and layout changes that improve user flow. Instead of endless A/B testing cycles, it offers data-backed insights in real time. GitHub Copilot, Amazon CodeWhisperer and Tabnine are making developers faster. AI doesn't just autocomplete lines of code, it understands context, syntax and logic structures. In 2025, many teams are building their own AI copilots trained on proprietary codebases, affirming AI understands company specific naming conventions and architecture. AI-powered tools like Diffblue and Testim generate test cases, detect anomalies and propose fixes before a developer notices a problem. This shift makes pipelines more efficient and reduces patches post-launch. GPT-powered assistants are being integrated in apps for customer support, onboarding and personal coaching. Beyond chatbots we're talking natural, conversational UX. AI engines personalize everything from content to push notifications. What used to take a data science team now happens using tools like Amazon Personalize or custom GPT based integration. AI enables continuous iteration in mobile app development. It collects real-time usage data and suggests improvements, UI changes, copy tweaks, feature prioritization. Apps are no longer delivered and forgotten, they develop daily. This approach shortens the build measure learning cycle, helping startups reach product market fit faster. While AI is changing the game, Some hurdles still include: Training data quality: Bad data means bad predictions. Bad data means bad predictions. Over reliance on suggestions: Junior devs may accept AI code without understanding it. Junior devs may accept AI code without understanding it. Security & Compliance: AI models handling sensitive data should meet high regulatory standards. AI models handling sensitive data should meet high regulatory standards. Tool overload: Not every AI tool is worth using, choosing wisely is key. The Actual value lies in knowing where to use AI and where to depend on human judgment. Is this improving development velocity? Do we have clean data to help AI systems? How do we monitor the quality of AI-generated outputs? Is our team trained to understand and utilise AI suggestions? Can we scale this AI implementation as we grow? Tools help to integrate AI that suggests feature ideas based on competitor moves, app reviews and support tickets. This makes the backlog smarter and customer-centric. Some platforms let you describe an app idea in English and auto-generate working prototypes with basic logic built-in. This is how non-technical founders build MVPs. AI is now forecasting user mood, purchase intent, engagement drop-offs before they happen. This allows timely interventions, like re-engagement campaigns or UX iterations. How to adopt AI without falling into the trap: Start small: Begin with one area, testing automation or design prediction and expand. Begin with one area, testing automation or design prediction and expand. Training: Even senior devs need guidance to use AI tools effectively. Even senior devs need guidance to use AI tools effectively. Use explainable AI : This ensures transparency, especially for regulated industries. This ensures transparency, especially for regulated industries. Measure ROI: Track time saved, bugs found, conversion improved the value. Forget about AI will replace developers. AI in 2025 has become a co-creator in mobile app development speeding up repetitive tasks, spotting blind spots and bringing fresh ideas but the key decisions are still made by humans. Around high-performing dev teams, we're seeing AI handle: 60% of code generation 80% of first-draft test cases Real-time feedback loops integrated in UX flows And the most successful mobile apps still have resilient Human Creativity behind them. AI gives you speed, personalization and feedback faster than ever but how you define success, who your users are and what problem you're solving still comes from humans. The best apps of 2025 won't just be tech advanced. They'll be emotionally intelligent, easy to use and continuously evolving. To get there, don't just include AI, Build around it. Code and Collaborate with AI then Ship with confidence. TIME BUSINESS NEWS


Mint
31-05-2025
- Business
- Mint
How to use Google Stitch to design apps even if you have zero coding skills
Imagine you're a small business owner with an idea for a mobile app but limited design or coding skills. You hand-sketch a basic wireframe and try to share your vision with a designer, but turning that design into functional code for a developer takes time and often leads to miscommunication. This handoff challenge, where design and code don't align easily-creates delays and frustration, making it hard to quickly iterate and share a working prototype with your team. A new tool, Stitch by Google, helps you solve this. Unlike tools like Uizard or Figma's Make UI, which focus primarily on generating designs, or Cursor and Codex, which emphasize code but lack robust user interface (UI) creation, Stitch seamlessly bridges this gap by converting your text prompt or sketch into both a polished UI design and production-ready HTML/CSS code in minutes. How to access: Google Stitch can help you with: Text prompting: Generate UI from text, e.g., "a minimalist meditation app with a blue and white palette" Tool integration: Export to Figma for refinement or to IDEs for development Natural tweaks: Quickly iterate using natural language ("make the font bolder", "add a login button") Variant testing: Produce multiple design variants for testing Example: You've got a great idea for a journaling app but don't code. Steps to follow for creating UX: Go to: Select 'Web' (or 'Mobile') Include the following prompt: 'Create a calming journaling app with soft, pastel colors (light blues and lavenders), a full-width header featuring the app logo and title, a large central text box with rounded corners and subtle shadow for writing entries, placeholder text saying 'Start journaling…', and a semi-transparent floating circular save button with a check icon at the bottom right. Include a minimal bottom nav bar with icons for 'Home', 'Entries', and 'Settings'." In seconds, Stitch gives you: You can export to Figma, make quick brand-specific adjustments, and share the design with your team lead—saving hours in the process. What makes Google Stitch special? Gemini power: Powered by Google's Gemini 2.5 models for highly accurate UI understanding. Native image tool integration: Access Google's image tool- Imagen natively to adjust product images. Languages support: Ask Stitch to automatically update the copy to different languages. Free access: Currently in public beta with free monthly generation quotas. Mint's 'AI tool of the week' is excerpted from Leslie D'Monte's weekly TechTalk newsletter. Subscribe to Mint's newsletters to get them directly in your email inbox. Note: The tools and analysis featured in this section demonstrated clear value based on our internal testing. Our recommendations are entirely independent and not influenced by the tool creators. Jaspreet Bindra is co-founder and CEO of AI&Beyond. Anuj Magazine is also a co-founder.