lowkeyarhan/agentic-QA-benchmarking
This is a portable lifecycle benchmark harness for comparing AI coding agents on real QA engineering tasks. It rigorously evaluates agent competencies across test authoring, test repair, root-cause debugging, token efficiency, framework adaptation, and complex browser or mobile automation workflows.
GitHub Topics
Language breakdown (by bytes)
Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 45 / 100
Position among AI repos in the same language
We track 5,305 TypeScript repos, of which 4,205 score 40 or above on AI relevance. 1,055 have more stars than this one (top 19.9%), and 2,749 score higher (top 51.8%).
Owner
SDE by instinct, full-stack engineer by profession, frontend dev by potency. Currently training on Agentic Engineering...
Dates
| Created on GitHub | 2026-06-08 |
| Last push | 2026-06-20 |
| First seen here | 2026-06-13 |
| Last fetched | 2026-08-03 16:23 |
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