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SIILI WHITEPAPER

AI-powered development whitepaper

How AI transforms software development teams

In recent years, generative AI and AI-powered development tools have garnered significant attention across industries, with promises of transforming workflows, boosting productivity, and redefining quality standards. However, without proper research and real-life analyses, these highly touted benefits remain vague and theoretical. 

The findings from our original new study provide a fresh perspective on how much GitHub Copilot, ChatGPT, and Claude really improve development workflows.

 

Download now to find out:

  • How AI enhances speed and quality across diverse development tasks

  • How to address challenges and maximize the benefits of AI-assisted workflows

  • Insights into achieving consistent performance with AI tools

  • Real-world examples of how developers leveraged AI for documentation, test writing, and more

Download the whitepaper now →

 

About the study

The study was conducted with a diverse group of developers, ranging from junior engineers to seasoned professionals, to understand how Generative AI tools impact performance across varying skill levels. Developers were tasked with completing projects using both traditional development tools and AI-enhanced platforms.

The study captures quantitative data (time and quality) alongside qualitative developer feedback, ensuring both objective and subjective insights.

The tools featured in the study included:

  • React: A widely used JavaScript library for building user interfaces.

  • TypeScript: A strongly typed programming language that builds on JavaScript.

  • Git: For version control and collaboration.

  • AI-enhanced IDEs and GenAI assistants: Tools like Copilot, ChatGPT, Claude.

 

Improvements per task type

The participants of the study performed tasks that were carefully selected to represent a broad spectrum of real-world software development challenges.

 

Each task was designed to test speed, quality, and consistency under varying levels of complexity.

Environment setup

Developers configured the environment, set up dependencies, and created a baseline for project execution. This task tested the AI’s ability to automate routine setup processes.

Frontend feature development

Participants created user-facing interfaces using React, focusing on design, usability, and code efficiency. AI-assisted tools showed significant improvements here, with up to 175.9% faster task completion compared to manual methods. 

Bug fixing

Participants debugged and resolved issues in an existing codebase. AI tools like GenAI-assisted debuggers excelled in identifying root causes and suggesting fixes.

Test writing

Developers wrote automated tests for various code functions. AI tools not only accelerated test generation but also improved coverage, leading to a 40% increase in quality scores.

Full-stack feature implementation

This end-to-end task tested participants’ ability to create both frontend and backend functionality. While AI tools provided value, results varied depending on the complexity of the feature.

Refactoring

Participants improved existing code for readability and maintainability. AI tools aided in identifying inefficiencies, but human judgment remained crucial for more nuanced improvements.

Documentation

AI tools shone in generating concise, accurate documentation, cutting time by 80% on average while improving clarity and comprehensiveness.

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Key findings from the whitepaper

The study’s findings showcase the undeniable advantages of AI tools in software development. Here are the key takeaways:

Speed improvements

40% 

Tasks completed using AI tools were, on average, 40% faster than traditional methods. Some tasks, like frontend feature development, saw speed increases of over 175%.

Quality gains

89.7%

Code quality improved by 89.7% on average when developers used AI tools. This was especially noticeable in test writing and documentation tasks.

Consistency

AI tools significantly reduced variability in task performance. Developers using GenAI assistants had more predictable outcomes in both time and quality, even for complex assignments.

Developer satisfaction

Over 87% of participants reported positive experiences with AI tools, highlighting reduced cognitive load and enhanced confidence in their outputs.

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Download the whitepaper

Ready to dive deeper into the data and see how AI tools can transform your software development processes? The full whitepaper is available for download now. Gain access to detailed analysis, actionable insights, and a vision of the future that’s already here.

Please fill in the form and we will send you a free download link to Siili AI-powered development whitepaper