GlueProduct Intelligence Software FAQ: Complete ROI Guide
Product intelligence software promises better decisions. Here's what it actually costs, delivers, and how to measure ROI using code metrics that matter.
AI Product Management: Ideas That Will Dominate 2025
Product managers need code awareness, not more dashboards. Here's what separates winning AI PMs from those drowning in feature backlogs in 2025.
AI-Driven Project Management: The Complete Playbook for Product Teams
Most AI project tools are glorified chatbots. Here's how to actually use AI to understand what's happening in your codebase and ship faster.
AI for Product Managers: 8 Essential FAQs That Reveal the Future
Most PMs ask the wrong questions about AI. Here are 8 that actually matter — and how code intelligence gives you answers marketing can't fake.
Turn AI Assistants Into Product Intelligence Partners with MCP
Stop using ChatGPT as a search engine. MCP lets AI assistants access your feature catalog, code health data, and competitive gaps directly.
Context Intelligence Platform: Transform Raw Code Data Into Actionable Insights
Raw code metrics lie to you. Stop drowning in file-level data. Learn how context intelligence platforms turn code into features, ownership, and strategy.
How We Cluster 4,000 Files Into Features Using Louvain Community Detection
Technical deep dive into graph-based feature discovery. How Louvain modularity optimization groups files into meaningful features automatically.
Why Your Codebase Is a Graph, Not Files
Deep dive into graph-based code analysis and why traditional file-based thinking fails at scale.
Automated Feature Catalogs: Why Your Wiki Doesn't Work
Wikis are always stale. Auto-generated feature catalogs from code analysis are always current. Here's the difference.
Competitive Intelligence from Code: How Gap Analysis Works
Automated competitive gap detection that scans competitor features and maps them against your codebase. Real intelligence, not guesswork.
Stop Hand-Rolling Feature Discovery: Here Is the Math That Actually Works
Manual feature mapping is expensive, incomplete, and always stale. Graph-based automated discovery finds features humans miss. Here is the algorithm.