Software development and music composition share deep structural and creative similarities—both involve syntax, rhythm, and flow. CodeSymphonyexplores      this intersection by transforming source code into musical compositions, translating computational logic into soundscapes that are both algorithmically          consistent and aesthetically expressive. The primary objective of CodeSymphony is to analyze programming code and generate corresponding musical sequences that reflect the inherent structure, syntax, and semantics of the source material. Each programming element—such as keywords, control statements, loops, and functions—is mapped to musical attributes like pitch, rhythm, tempo, and timbre. For instance, loops can correspond to repeated motifs, conditionals to harmonic variations, and data structures to layered instrumentation. This system employs lexical and syntactic analysis of code to extract meaningful patterns. The parsed information is then converted into MIDI signals or digital sound streams, which can be rendered through standard music production tools. Machine learning techniques and rule-based mapping strategies are used to ensure that the resulting compositions are not random noise, but harmonically coherent and musically interpretable. CodeSymphony serves both as a creative visualization tool and as an educationalinterface—helping programmers "hear" their code and musicians explore algorithmic creativity. By converting the logic of programming languages into musical notation, the project aims to bridge the gap between software engineering and musical artistry, fostering new forms of human-computer interaction. Potential applications include interactive art installations, code debugging through auditory cues, algorithmic music generation, and programming pedagogy. The project emphasizes that programming is not merely a technical pursuit but an expressive act that can be experienced multisensorially.