A systematic survey of LLM-powered code generation agents that categorizes single-agent and multi-agent architectures, maps their use across the full software development lifecycle, reviews benchmarks and tools, and outlines future challenges.
Herrington,Code generation in action
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A systematic review finds research on the sustainability of LLM-generated code to be limited, fragmented, and without accepted frameworks for measurement or benchmarking.
citing papers explorer
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A Survey on Code Generation with LLM-based Agents
A systematic survey of LLM-powered code generation agents that categorizes single-agent and multi-agent architectures, maps their use across the full software development lifecycle, reviews benchmarks and tools, and outlines future challenges.
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Sustainable Code Generation Using Large Language Models: A Systematic Literature Review
A systematic review finds research on the sustainability of LLM-generated code to be limited, fragmented, and without accepted frameworks for measurement or benchmarking.