Harnessing the Potential of Gen-AI Coding Assistants in Public Sector Software Development
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Abstract (arXiv)
The study on GitHub Copilot by GovTech Singapore's Engineering Productivity Programme (EPP) reveals significant potential for AI Code Assistant tools to boost developer productivity and improve application quality in the public sector. Highlighting the substantial benefits for the public sector, the study observed an increased productivity (coding / tasks speed increased by 21-28%), which translates into accelerated development, and quicker go-to-market, with a notable consensus (95%) that the tool increases developer satisfaction. Particularly, junior developers experienced considerable efficiency gains and reduced coding times, illustrating Copilot's capability to enhance job satisfaction by easing routine tasks. This advancement allows for a sharper focus on complex projects, faster learning, and improved code quality. Recognising the strategic importance of these tools, the study recommends the development of an AI Framework to maximise such benefits while cautioning against potential over-reliance without solid foundational programming skills. It also advises public sector developers to classify their code as "Open" to use Gen-AI Coding Assistant tools on the Cloud like GitHub Copilot and to consider self-hosted tools like Codeium or Code Llama for confidential code to leverage technology efficiently within the public sector framework. With up to 8,000 developers, comprising both public officers and vendors developing applications for the public sector and its customers, there is significant potential to enhance productivity.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Sep 2024.
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Citing papers per year: 2026: 3.
3 papers.
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- 2026The State of Generative AI in Software Development: Insights from Literature and a Developer Survey17 Mar 2026
- 2026AI IDEs or Autonomous Agents? Measuring the Impact of Coding Agents on Software Development20 Jan 2026