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Research2026-09-04 · source-backed
A case study at a large software services company, 21 semi-structured interviews plus meeting observation, one year after launch. The reported costs are accountability anxiety, craft identity disruption, and erosion of meaning and satisfaction, alongside the familiar deskilling pattern. This is the counterweight to every productivity-metric rollout study, and the point that AI adoption in software engineering is cost-free doesn't survive it. arXiv 2609.03456
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arXiv 2608.13030 points out existing agent protocols specify message exchange but not how an agent proves identity, authorization, advertised capabilities, or accountability after delegation. It adds Persistent Identity, Discovery, Trust Negotiation and Accountability layers v...
First large empirical study of static prompt-configuration files, across 11,427 repos, plus qualitative coding of 65 sampled files into a 65-code codebook (arXiv 2608.10622). Adoption emerged fast from mid-2024 but clusters in small, low-activity, single-maintainer repos. Cont...
Tsuchida et al. analyzed 622 GitHub users publicly signaling GenAI adoption, 179 repos carrying visible AI-assistance config against 179 matched traditional repos, plus 248 issues from the AI-assisted set. AI-assisted repos carry longer READMEs with more headers and code block...
A case study inside a real company migrating 12 features of varying complexity from a corporate ERP written in Visual Basic 6, using one version of the Claude Code agent, evaluating both effectiveness and efficiency (arXiv 2608.28972). Legacy modernization is the use case most...
It turns a course brief into finished slides or a self-contained interactive HTML page in one pass (arXiv 2608.30968). Across 220k production requests the median slide takes 17 seconds and an interactive page 59. A hybrid rule-plus-VLM reward drives GRPO, hardened after the te...
In semantic data processing systems, LLM compute is 80 to 90% of query cost and a single call costs 10^5 to 10^7 times a relational predicate, which inverts the classical adaptive-query-processing rule that online learners must be lightweight. At LLM latency, per-call gradient...
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