Pith. sign in

REVIEW 1 cited by

Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2412.06603 v2 pith:UQBVA63D submitted 2024-12-09 cs.HC cs.SE

Justin D. Weisz , Shraddha Kumar , Michael Muller , Karen-Ellen Browne , Arielle Goldberg , Ellice Heintze , Shagun Bajpai This is my paper · ORCID
classification cs.HCcs.SE
keywords assistantcodeproductivityimpactdevelopersexaminedllm-poweredtesting
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

AI assistants are being created to help software engineers conduct a variety of coding-related tasks, such as writing, documenting, and testing code. We describe the use of the watsonx Code Assistant (WCA), an LLM-powered coding assistant deployed internally within IBM. Through surveys of two user cohorts (N=669) and unmoderated usability testing (N=15), we examined developers' experiences with WCA and its impact on their productivity. We learned about their motivations for using (or not using) WCA, we examined their expectations of its speed and quality, and we identified new considerations regarding ownership of and responsibility for generated code. Our case study characterizes the impact of an LLM-powered assistant on developers' perceptions of productivity and it shows that although such tools do often provide net productivity increases, these benefits may not always be experienced by all users.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 2 citations worldwide. Full citation record

  1. Reverse Browser: Vector-Image-to-Code Generator

    cs.SE 2025-09 conditional novelty 5.0 of 10

    An open-weights system that turns vector images of web designs into HTML/CSS, with new datasets and a multi-scale pixel metric, though accuracy remains below production quality.

Pith tools