GlueGlue.tools vs Competition: Complete 2025 Product Intelligence Comparison
Sourcegraph searches code. CodeSee maps architecture. Glue discovers what your codebase actually does — features, health, ownership — and why that matters more.
DevSecOps Evolution FAQ: AI-Powered Security for Modern Development
DevSecOps is shifting from rule-based scanning to AI-powered analysis. Here's what actually works when securing modern codebases at scale.
DevSecOps FAQ: AI for Software Development Security
Security tools scan for known vulnerabilities but miss architectural flaws. AI needs codebase context to understand real attack surfaces and data flows.
AI for Software Development FAQ: The Shift-Everywhere Approach
Shift-left is dead. Modern AI requires code intelligence at every stage. Here's what actually works when AI needs to understand your entire codebase.
Code Graphs FAQ: Framework-Aware AI Context Layer Guide
Code graphs power modern dev tools, but most are syntax trees in disguise. Here's what framework-aware graphs actually do and why they matter for AI context.
Knowledge Graphs for Codebases: The Future of Developer Tools
Why representing your codebase as a knowledge graph changes everything — from AI assistance to onboarding. The data model matters more than the tools.
AI Code Review Tools That Actually Find Bugs, Not Just Style Issues
Most AI code reviewers catch formatting issues. Here's what tools actually find logic bugs, race conditions, and security holes—and why context matters.
Building a Blast Radius Oracle: How I Designed Impact Analysis
I built Glue's blast radius analysis by mapping files to features, dependencies, and impact zones. Here's why most change analysis tools fail.
Product Intelligence Software vs Traditional Methods: Real Results
Traditional product analytics tracks clicks. Real product intelligence measures features built, technical debt, and competitive gaps from your actual codebase.
AI-Ready Legacy Transformation: Modernize Systems for Context
Legacy systems are black boxes to AI coding tools. Here's how to make decades-old code readable to both humans and LLMs without a full rewrite.
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.
Future of AI for Product Managers: Essential Strategies for 2025
AI won't replace PMs. But PMs who understand their codebase through AI will replace those who don't. Here's what actually matters in 2025.
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.
Building a Blast Radius Oracle: How We Designed Impact-of-Change Analysis
Most impact analysis tools are wrong. We built a system that combines static analysis, runtime traces, and LLM reasoning to actually predict what breaks.
M&A Tech Due Diligence in 3 Days, Not 3 Months
How automated feature discovery and competitive gap analysis accelerate M&A technical evaluation from months to days.
Building Roadmaps from Code Reality, Not Opinions
How to use discovered features, competitive gaps, and team capabilities to build data-driven roadmaps instead of opinion-driven ones.
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 Building Random Features: How to Actually Do Competitive Analysis from Code
Most competitive analysis is guesswork based on marketing pages. Code-level gap analysis shows exactly what you have, what competitors have, and what it would cost to close the gap.