Knowledge Resource · Open access
Research Summary: Building a research-software catalog with a coding agent: from hackathon prototype to public deployment
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 7 September 2026
- Last updated
- 22 September 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
Generative AI and coding agents are accelerating research software development, necessitating improved methods for software discovery and maintenance. A three-day hackathon prototype for a repository catalog was developed, highlighting critical engineering requirements for public deployment, including adversarial review and data quality. The lessons from this prototype are being explored for application to larger, human-curated portals using retrieval agents combining various data sources and AI capabilities.
Why it matters
The emergence of generative AI in software development introduces both efficiency gains and new operational complexities, particularly around managing and discovering software assets. This development signals a shift towards AI-assisted tool creation and necessitates proactive strategies for data governance, quality assurance, and scalable infrastructure to support increased software output.
Key insights
- Generative AI and coding agents are noted for their potential to accelerate research software development.
- This acceleration increases the need for efficient software discovery and maintenance mechanisms.
- A research software catalog prototype was developed within a three-day hackathon timeframe.
- Making this prototype suitable for public deployment required addressing engineering challenges such as adversarial review, data-quality checks, browser-level validation, and publication safeguards.
- The methodology is being investigated for transferability to larger, human-curated portals like MateriApps, utilizing retrieval agents with curated metadata, external documentation, vector search, and local language model generation.
Source
arXiv — Computers and Society — https://arxiv.org/abs/2609.04711
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- Verification ID
- ASA-EXE-2026-00122
- Version
- v1.0 · r0
- Issued
- 7 September 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Building a research-software catalog with a coding agent: from hackathon prototype to public deployment
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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