An Empirical Study of Reasoning Steps in Thinking Code LLMs
arxiv.org·3h
👀Code Review
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Building the 'Dream Team Assembler' with Serverless Power: Cloud Run and Gemini
🔄Data Pipelines
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What Prompt Engineering in 2025 Actually Looks Like (When You’re Trying to Build for Real)
🏗️Design Patterns
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Stop Waiting for Enterprise-Ready AI: Why Early Execution Beats Perfect Implementation
🔄Data Pipelines
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AdvisingWise: Supporting Academic Advising in Higher Educations Through a Human-in-the-Loop Multi-Agent Framework
arxiv.org·3h
🔄dbt
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Improving Asset Allocation in a Fast Moving Consumer Goods B2B Company: An Interpretable Machine Learning Framework for Commercial Cooler Assignment Based on Mu...
arxiv.org·3h
🔄dbt
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Stop Copy-Pasting Between Excel and Code: Automate Your Data Workflows with GridScript
🎯Context Managers
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