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Insights

Codebase intelligence, product management, engineering leadership, and the future of software understanding.

FeaturedMar 5, 2026 · 14 min read

LinearB Alternative: Why Engineering Teams Are Moving Beyond Traditional Dev Analytics

Explore the evolution of engineering analytics. Compare LinearB with modern alternatives like Glue, Swarmia, Jellyfish, and Sleuth. Discover why teams are moving toward agentic product OS platforms.

Glue Team

Editorial Team

Feb 27, 2026·9 min read

Dependency Mapping: How to Know What Will Break Before You Break It

Most dependency mapping tools are built for IT infrastructure teams. Code-level dependency mapping is a different discipline - one that helps engineering teams understand blast radius before making changes.

Arjun Mehta

Principal Engineer

Feb 24, 2026·10 min read

Understanding Code Dependencies: The Hidden Architecture of Your Software

Dependencies are the hidden architecture of your software. Learn how to map, visualize, and manage code dependencies to prevent incidents and improve code quality.

Arjun Mehta

Principal Engineer

Feb 24, 2026·9 min read

AI Code Assistant vs Codebase Intelligence: Why Agentic Coding Changes Everything

Copilot writes code. Glue understands it. Why product managers and engineering leaders need both tools in 2026.

Vaibhav Verma

CTO & Co-founder

Feb 23, 2026·9 min read

Duplicate Tickets Are a Symptom: Your Intelligence and Work Systems Aren't Talking

Duplicate tickets aren't a search problem—they're a context problem. Why connecting codebase intelligence to issue tracking eliminates duplicate work and improves triage.

Glue Team

Editorial Team

Feb 23, 2026·9 min read

Jira Can Track Work. It Can't Verify the Problem Is Solved.

The fundamental gap in work tracking tools: they track status, not resolution. Why ghost work happens and how verification closes the gap.

Glue Team

Editorial Team

Feb 23, 2026·8 min read

Codebase Health: What Engineers Can Tell PMs About Code Quality Without Custom Reports

PMs: learn what engineers see in git history, complexity analysis, and test coverage. Ask better questions about code quality without custom reports.

Arjun Mehta

Principal Engineer

Feb 23, 2026·9 min read

What AI Codebase Analysis Actually Is

AI codebase analysis isn't code generation. It's making large codebases understandable without reading every line. Here's what actually matters.

Vaibhav Verma

CTO & Co-founder

Feb 23, 2026·7 min read

Codebase Analysis Tools: A 2026 Buyer's Guide

Compare static analysis, architecture tools, and AI codebase intelligence. Choose the right tool for your problem.

Glue Team

Editorial Team

Feb 23, 2026·8 min read

Code Dependency Analysis: The Invisible Graph in Your System

Service, library, and data dependencies drive estimates and incidents. Make them visible before they break.

Arjun Mehta

Principal Engineer

Feb 23, 2026·9 min read

The Hidden Cost of a Codebase Nobody Understands

How lack of codebase clarity compounds: opacity creates more opacity, slowing incidents, onboarding, and feature development. A quantified view.

Vaibhav Verma

CTO & Co-founder

Feb 23, 2026·10 min read

Technical Debt Reduction Playbook: How to Actually Pay It Down

A practical guide to reducing technical debt continuously. Avoid failed "debt quarters" with the strangler fig pattern and continuous improvement.

Arjun Mehta

Principal Engineer

Feb 23, 2026·10 min read

Should PMs Learn to Code? The Honest Answer

What technical skills actually matter for PMs and what's a better investment than coding.

Priya Shankar

Head of Product

Feb 23, 2026·9 min read

Code Intelligence Platforms: What PMs Need to Know

How code intelligence platforms bridge the gap between engineering insights and product decisions.

Priya Shankar

Head of Product

Feb 23, 2026·9 min read

You Can't Read Code. Here's What to Do About It.

The 5 questions PMs should answer about their codebase. Proxy questions and strategies for understanding technical reality without learning to code.

Priya Shankar

Head of Product

Feb 23, 2026·10 min read

Code Health Metrics: Measuring What Actually Matters

Measure code health through understandability, modifiability, and resilience. Learn metrics that correlate with engineering velocity and incident rates.

Arjun Mehta

Principal Engineer

Feb 23, 2026·9 min read

The PM-Codebase Gap: Why Product Decisions Keep Missing the Mark

Why PMs struggle with visibility into technical constraints and how codebase access changes product decisions and estimation accuracy.

Priya Shankar

Head of Product