Which AI Tools Actually Help Developers in 2025? Intelligent Mobile’s Verdict

 

After testing Codex, Gemini, Copilot, and more – here’s what the IM dev team found.




AI has reshaped the way developers write, debug and ship code. But not every tool lives up to the hype.

At Intelligent Mobile (IM), our development team recently conducted a hands-on evaluation of today’s leading and emerging AI tools—including OpenAI Codex, Google Gemini, GitHub Copilot, Lovable, Claude AI, and the latest features from Figma AI and Google’s Stitch AI—to understand which ones truly deliver value in real-world software development.





🚀 What We Tested

We ran a series of practical coding scenarios across tools, including:

  • Generating front-end code from Figma designs.

  • Building Azure Functions and API integration.

  • Debugging real-world issues like routing and CORS.

  • Updating React components and optimising performance.

The review also covered emerging tools that support design-to-code automation, and upcoming standards like ai.txt—the new web protocol for managing how AI bots access your code and data.





💡 Key Takeaways

  • Google Gemini led the pack, delivering context-aware suggestions and fixing routing issues that other tools couldn’t resolve.

  • GitHub Copilot was highly effective for generating boilerplate and function-level code within IDEs like VS Code and Visual Studio.

  • Lovable showed strong potential for turning simple Figma components into deployable front-end code. However, it struggled with larger, more complex designs.

  • OpenAI Codex, while capable of offering prompts and suggestions, didn’t go significantly beyond what ChatGPT already provides for developers.


Claude AI proved particularly useful as a conversational partner—strong in explaining code, drafting snippets, and providing safe, learning-oriented outputs across languages like C#, though it lacked deep IDE integration.


🔍 Emerging Tools Worth Watching

  • Figma AI is evolving to offer features like automated component creation and design variant suggestions, with the goal of exporting working code directly from design files.

  • Google’s Stitch AI promises to automate the path from design systems to usable code—potentially transforming front-end workflows.


 What About AI Ethics & Privacy?

We also explored the rising relevance of ai.txt—a new proposed standard that lets website owners define how AI crawlers interact with their content. Like robots.txt, this could become essential for frontend teams wanting to protect code or data from unintentional AI scraping. Until it's fully supported, we recommend using robots.txt to set clear rules for AI access where possible.


🛠️ What We're Doing at IM

Based on our findings, Intelligent Mobile is making the following updates:

  • Adopting Google Gemini in our dev workflows.

  • Continuing to use ChatGPT and Claude AI for general-purpose AI assistance and code explanation.

  • Using GitHub Copilot for rapid coding and boilerplate generation.

  • Exploring Lovable for quick MVPs or small-scale design exports.

  • Preparing to implement ai.txt and AI-aware robots.txt rules across client sites to future-proof data protection.


✅ Our Verdict

AI is not replacing developers—but it’s becoming a critical partner in how we design, code, and deliver digital products.

At Intelligent Mobile, we’re focused on strategic adoption: matching the right AI tool to the right task, and continuously improving how our team integrates these technologies into real projects.


Want to know more? Get in touch with our team—we’re always happy to share what’s working and what’s coming next in the fast-moving world of AI-powered development.



Author Credits:

Intelligent Mobile July 2025

 
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