From Today’s Code to Tomorrow’s Symphony: The AI Transformation of Developer’s Routine by 2030 DOI Open Access
Ketai Qiu,

Niccolò Puccinelli,

Matteo Ciniselli

et al.

ACM Transactions on Software Engineering and Methodology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 24, 2024

In the rapidly evolving landscape of software engineering, integration Artificial Intelligence (AI) into Software Development Life-Cycle (SDLC) heralds a transformative era for developers. Recently, we have assisted to pivotal shift towards AI-assisted programming, exemplified by tools like GitHub Copilot and OpenAI’s ChatGPT, which become crucial element coding, debugging, design. this paper provide comparative analysis between current state programming in 2024 our projections 2030, exploring how AI advancements are set enhance implementation phase, fundamentally altering developers’ roles from manual coders orchestrators AI-driven development ecosystems. We envision HyperAssistant , an augmented tool that offers comprehensive support 2030 developers, addressing limitations mental health support, fault detection, code optimization, team interaction, skill development. emphasize as complementary force, augmenting capabilities rather than replacing them, leading creation sophisticated, reliable, secure solutions. Our vision seeks anticipate evolution practices, challenges, future directions, shaping new paradigm where developers collaborate more closely, promising significant leap SE efficiency, security creativity.

Language: Английский

From Today’s Code to Tomorrow’s Symphony: The AI Transformation of Developer’s Routine by 2030 DOI Open Access
Ketai Qiu,

Niccolò Puccinelli,

Matteo Ciniselli

et al.

ACM Transactions on Software Engineering and Methodology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 24, 2024

In the rapidly evolving landscape of software engineering, integration Artificial Intelligence (AI) into Software Development Life-Cycle (SDLC) heralds a transformative era for developers. Recently, we have assisted to pivotal shift towards AI-assisted programming, exemplified by tools like GitHub Copilot and OpenAI’s ChatGPT, which become crucial element coding, debugging, design. this paper provide comparative analysis between current state programming in 2024 our projections 2030, exploring how AI advancements are set enhance implementation phase, fundamentally altering developers’ roles from manual coders orchestrators AI-driven development ecosystems. We envision HyperAssistant , an augmented tool that offers comprehensive support 2030 developers, addressing limitations mental health support, fault detection, code optimization, team interaction, skill development. emphasize as complementary force, augmenting capabilities rather than replacing them, leading creation sophisticated, reliable, secure solutions. Our vision seeks anticipate evolution practices, challenges, future directions, shaping new paradigm where developers collaborate more closely, promising significant leap SE efficiency, security creativity.

Language: Английский

Citations

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