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Intent-Driven Code Synthesis: Redefining Software Development with Transformers

2025-04-21

Abstract excerpt

The future of software development is being redefined by AI-powered assistants capable of generating code from natural language intent. This paper investigates the evolution of transformer-based development models designed to understand plain-text prompts, learn structural programming logic, and produce accurate, executable code across diverse languages. Using benchmarks such as HumanEval, MBPP, CodeXGLUE, and CON...

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Identifiers and source

Literature Corpus work
81c2e249-a50f-5d5b-bb90-3e9371078fa2
DOI
10.20944/preprints202504.1732.v1
Open publication

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Intent-Driven Code Synthesis: Redefining Software Development with TransformersDOI 10.20944/preprints202504.1732.v1
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