Article

Experiences and Challenges in AI-Driven Modular Software Development Using Large Language Models for Code Generation

2024-10-12

Abstract excerpt

The development of a modular software platform using large language models (LLMs) for code generation presents unique opportunities and challenges. This paper explores the experiences and difficulties encountered during the creation of an AI-driven business intelligence platform built with LLM assistance. By using an iterative approach to generate modular code, the project aimed to accelerate development and autom...

Topics

Open a Topic to create a Post that cites this publication.

Uncategorized literature

Identifiers and source

Literature Corpus work: 5bb93a48-a4d4-5490-9452-e7347e81e4f0
DOI: 10.22541/au.172871465.54826063/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Experiences and Challenges in AI-Driven Modular Software Development Using Large Language Models for Code GenerationDOI 10.22541/au.172871465.54826063/v1Read

Intent-Driven Code Synthesis: Redefining Software Development with TransformersSemantic proximity Read

A Systematic Literature Review on Generative AI in Software Engineering: Code Generation and RefactoringSemantic proximity Read

Enabling Humans and AI-Systems to Retrieve Information from System Architectures in Model-Based Systems EngineeringSemantic proximity Read

Artificial Intelligence versus Software Engineers: An Evidence-Based Assessment Focusing on Non-Functional RequirementsSemantic proximity Read

From Prompt to Production: A Case Study of Human-AI Collaborative Software Development Using Claude Code Multi-Agent OrchestrationSemantic proximity Read

Code is Cheap, Judgment is Not: The Rise of Integration Skill in the Age of AI-Written CodeSemantic proximity Read

ChatGPTest: A Mixed-Methods Study on AI-Generated Questionnaires Based on Theoretical ModelsSemantic proximity Read

Self-Debugging AI: A Comprehensive Analysis of Claude 4.1 Sonnet's Code Generation and Error Resolution CapabilitiesSemantic proximity Read

Challenges and Paths Towards AI for Software EngineeringSemantic proximity Read

A Reference Framework for Empirical Studies on LLM-Based Code Generation: A Review-Grounded SynthesisSemantic proximity Read

From Retrieval to Autonomy: Governance and Accountability Challenges in Tool-Calling Large Language Model AgentsSemantic proximity Read

Navigating the Human-Tech Nexus: Hybrid Intelligence as a Driver of Innovation and Trust in Software Engineering Decision-MakingSemantic proximity Read