#product
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Specs That Know Their Own Numbers: Connecting Live Metrics to Your Product Model
Every spec defines success metrics. Almost none of them know their current value. Here's what changes when a Metric in your product model reads its real number live.
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MCP and the AI-Native Product Stack: Giving Coding Agents Product Context
AI coding assistants are only as good as the context they have. Here's how MCP lets engineering agents query your product graph before writing code.
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Why 'Single Source of Truth' Usually Fails — And How Semantic Versioning Fixes It
Every team wants a single source of truth. Most attempts decay within months. Here's why that happens and what makes a versioned, structured product model different.
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From Feature Tickets to Semantic Graphs: A New Mental Model for Product
Tickets describe work to be done. Graphs describe what the product actually is — and why that difference changes how your whole team understands dependencies.
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The Hidden Cost of Product Drift: When Spec, Design, and Code Diverge
The gap between what was specified, what was designed, and what was built is one of the most expensive and least-measured problems in software teams.
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Git for Product Teams: Applying Version Control Thinking to Product Design
Branching, committing, merging, rolling back — engineers have used these primitives for decades. What do they look like when applied to product definitions?
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Why Your PRD Is Already Out of Date (And What to Do About It)
Product requirements docs rot the moment you write them. Here's why static docs fail and what a versioned, living product model looks like instead.