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The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

33 Pith papers cite this work. Polarity classification is still indexing.

33 Pith papers citing it
abstract

Generative AI tools hold promise to increase human productivity. This paper presents results from a controlled experiment with GitHub Copilot, an AI pair programmer. Recruited software developers were asked to implement an HTTP server in JavaScript as quickly as possible. The treatment group, with access to the AI pair programmer, completed the task 55.8% faster than the control group. Observed heterogenous effects show promise for AI pair programmers to help people transition into software development careers.

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  • abstract Generative AI tools hold promise to increase human productivity. This paper presents results from a controlled experiment with GitHub Copilot, an AI pair programmer. Recruited software developers were asked to implement an HTTP server in JavaScript as quickly as possible. The treatment group, with access to the AI pair programmer, completed the task 55.8% faster than the control group. Observed heterogenous effects show promise for AI pair programmers to help people transition into software development careers.

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The software space of science

cs.DL · 2026-04-26 · unverdicted · novelty 7.0

A network analysis of software mentions in 1.3 million papers identifies 520 tools in eight communities and shows disciplines maintain distinct, stable tool portfolios that are crystallizing toward common sets.

Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis

cs.SE · 2026-04-27 · conditional · novelty 6.0

SpecValidator detects lexical vagueness, under-specification, and syntax-formatting defects in LLM code-generation prompts with F1 0.804, outperforming GPT-5-mini and Claude Sonnet 4, and shows that under-specification is the most damaging defect type while richer benchmarks are more resilient.

StarCoder 2 and The Stack v2: The Next Generation

cs.SE · 2024-02-29 · accept · novelty 6.0

StarCoder2-15B matches or beats CodeLlama-34B on code tasks despite being smaller, and StarCoder2-3B outperforms prior 15B models, with open weights and exact training data identifiers released.

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