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RECAP platform captures AI coding assistant interactions for analysis

By PulseAugur Editorial · [1 sources] ·

Researchers have developed RECAP, an open-source platform designed to capture, replay, and analyze developer interactions with AI coding assistants. This system integrates chat logs and code edits within VS Code to create a unified timeline, enabling detailed study of programming strategies and AI reliance. Initial deployment with 41 students across a multi-week project successfully recorded over 2,000 prompts and 8,000 code edits, demonstrating RECAP's utility for understanding developer-AI collaboration. AI

IMPACT Provides a new tool for researchers to study and understand developer interactions with AI coding assistants.

RANK_REASON This is a research paper describing a new platform for analyzing AI-assisted programming. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

RECAP platform captures AI coding assistant interactions for analysis

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This is a research paper describing a new platform for analyzing AI-assisted programming. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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159 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Keyu He, Qianou Ma, Valerie Chen, Wayne Chi, Tongshuang Wu ·

    RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions

    arXiv:2605.01104v1 Announce Type: cross Abstract: Understanding how developers interact with AI coding assistants requires more than chat logs or git histories in isolation; it requires reconstructing the full context: which prompt led to which edit, what the developer tried and …

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