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The Glue editorial team researches and writes about codebase intelligence, product-engineering alignment, and the tools and practices that help product teams build better software.
Articles
143
143 articles
A practical guide to AI tools that solve real engineering management problems - organized by the responsibilities EMs actually have, not vendor marketing categories.
Glue Team
Editorial Team
An honest three-way comparison of LinearB, Jellyfish, and Swarmia for engineering teams evaluating developer productivity and engineering intelligence platforms in 2026.
A practical guide to what software engineering intelligence platforms measure - and where they fall short. Compare Jellyfish, Swarmia, LinearB, DX, Cortex, Typo, and Glue.
A Product OS unifies your codebase, errors, analytics, tickets, and docs into one system with autonomous agents. Learn why teams need this paradigm shift.
Devin writes code—but it's only 20% of engineering. Compare AI coding agents (Devin, Cursor, Copilot) with AI operations agents that handle monitoring, triage, and incident response.
Understand the fundamental differences between coding copilots and engineering agents. Learn why autocomplete assistance isn't the same as autonomous goal-driven systems.
AI agents need more than document retrieval. Learn how to assemble live context—deploys, incidents, sprint goals, team ownership—that enables agents to make better decisions.
Stop getting paged at 3am to investigate the same problems. Autonomous monitoring investigates, correlates, and reports—so you don't have to.
Discover how AI-powered sprint planning reduces estimation errors by 25% and scope changes by 40%. Learn why traditional planning fails and how agents augment human decision-making.
