KEDEHub Blog
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Rethinking Rework in Software Development→
The Fine Line Between Waste and Learning
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Technical Debt is a Vestige from an Evolutionary Process→
Remnants of Previous Decisions
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Improvement is not a “natural” process→
Progress is not inevitable
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Beyond Cognitive Load→
The Practical Power of Cognitive Control in Team Management
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Integrating GenAI Tools into Software Development→
Through a Knowledge-Centric Approach
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Every Bit Counts→
How McLaren F1 Team Designs for Cognitive Efficiency
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The GenAI Paradox: More Isn’t Better→
The True Bottleneck Isn’t the LLM - It’s the Human Mind
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Balance Efficiency and Effectiveness in Software Development→
Through a Knowledge-Centric Approach
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GenAI: The Most Powerful Accelerator of Learning Debt Ever Invented→
A Knowledge-Centric Approach
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Executable Specifications→
Code is the Output. Knowledge is the Job
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The Six-Stage Prompt Chain→
An Iterative Framework for GenAI-Powered Software Delivery
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When Knowledge is the Bottleneck→
A Knowledge-Centric Interpretation of METR AI Productivity Study
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Aligning Team Mental Models with AI Coding Agents→
A Knowledge-Centric Perspective
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From Guessing to Knowing→
The 5 Switches That Make AI Ask Before It Executes
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From Gap-Filling to Possibility Expansion→
AI and the Cyclical Process of Knowledge Discovery
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Why Telemetry Can’t Reveal AI’s True Impact on Developer Productivity→
What Works Instead
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AI as Infrastructure→
Delegating Low-Key Decisions to Trustful Coding Agents
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TDD as the Backbone of AI-Assisted Software Development→
A Knowledge-Centric Perspective