Developer Experience Using AI Coding Assistant on Large Projects

In recent years, the emergence of AI Coding Assistants has brought about significant changes in the way developers work, especially on large-scale projects. These AI-based tools enable developers to write code faster, automatically detect bugs, and improve the overall quality of the final product. Many Indonesian developers are now adopting this technology to increase productivity and work efficiency. For those of you who want to start using similar tools, Software Recommendations can be the main reference in choosing a legal and reliable solution.

A backend developer working on a national-scale e-commerce project shared his experience using an AI Coding Assistant like GitHub Copilot. He found the tool extremely helpful in quickly structuring functions and avoiding syntax errors. The AI ​​also assists with writing automated comments, making it easier for the team to understand the code flow. The frontend team, who rely on AI to efficiently build UI components, experienced similar results. To obtain a similar tool with an official license, the developer used Software Recommendations as a reference.

On a logistics company's ERP project, the development team also leveraged AI to speed up API integration and input validation. AI saved time rewriting similar functions and suggested logic based on the application's needs. The team reported a 30 percent reduction in development time. The tools they used were sourced from Software Recommendations, which provides various AI-based software options according to enterprise project needs.

Beyond efficiency, the presence of AI also improves the quality of project documentation. Some AI Coding Assistants are capable of automatically generating documentation from code snippets, simplifying the training process for new developers. In the context of remote teamwork, AI has proven to support productivity without sacrificing accuracy. Many technology companies are now encouraging their developers to use these tools available on their platforms. Software Recommendations.

Even in the debugging phase, AI plays a crucial role. A senior developer noted that using AI accelerated error identification and provided instant fix suggestions, reducing reliance on forums or online documentation. This tool enabled the team to complete sprints on time and increased client confidence. All necessary supporting software licenses were obtained through Software Recommendations, which has become a trusted solution for many professional developers in Indonesia.

Developers' experiences show that AI Coding Assistants aren't just a trend, but a real solution for developing large projects. From time savings to improved code quality, this technology has a significant positive impact.

To start your journey in integrating AI in the coding process, visit Software Recommendations and find the best solution that fits your team and project needs.