Lost in the Flow with Code Talkers: Unveiling the Instruction-Tuning Tax of Large Language Models in Code Tasks
AI coding assistants have significantly improved developer productivity by automatically suggesting code that aligns with user intent, and many of these tools are now integrated directly into Integrated Development Environments (IDEs). Developers interact with code in two distinct cognitive modes: Flow and Command. While developers require tools that directly complete or infill code in unfinished programs during Flow mode, they also need tools that can comprehend intentions expressed as natural-
Record details
Published: 7 June 2026
Source: arXiv
Category: Research
Topics: Jobs & economy · Environment
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (7 June 2026), “Lost in the Flow with Code Talkers: Unveiling the Instruction-Tuning Tax of Large Language Models in Code Tasks,” evidence record 1287, https://ethics.ai/record/1287 (originally published by arXiv).
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