Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
2Distinct papers
4Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2330190356
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Kevin Xu (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Skill Acquisition: 2 papers
- Other: 2 papers
- Developer Productivity: 1 paper
- Hiring: 1 paper
- Employment: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Adopting an AI coding assistant coincides with a sharp expansion of developers' technical frontier: adopters average ~41 more monthly commits, 1.5 additional repositories, and roughly half a new programming language cumulatively, with gains growing over time.arxiv | Kevin Xu provider id |
2026-05-25 | 1 |
| Adopting GitHub Copilot is linked to modestly higher software-engineer hiring—especially junior hires—and to new hires with slightly more non-coding skills, without evidence of reduced coding ability.semantic_scholar | Kevin Xu provider id |
Fetched 2026-04-29 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.