© 2026 Glue. All rights reserved.
Blog
AI agents, engineering automation, product intelligence, and how teams ship faster when their tools finally talk to each other.
Learn what DORA metrics are, why they matter, and how to track them. Complete guide to the 4 metrics engineering teams use to measure delivery performance.
Glue Team
Discover why engineering productivity differs from other knowledge work and how to measure outcomes, not output.
Editorial Team
Practical guide to measuring engineering team productivity without creating surveillance culture or gaming metrics.
Complete guide to measuring developer experience. Compare DX frameworks, quantitative metrics, and build your optimal measurement stack.
A comprehensive framework for CTOs and engineering leaders to measure, quantify, and communicate engineering ROI to executives and boards—with practical strategies and real-world metrics.
Compare DORA and SPACE metrics frameworks. Understand when to use each, when to use both, and how to measure what matters for your engineering team.
Brooks' Law states that adding people to a late software project makes it later. Here is why it happens, how to visualize it with real data, and what to do when your project is behind schedule.
Arjun Mehta
Principal Engineer
Lines of code, story points, commit counts - most programmer productivity metrics measure the wrong thing. Here is what actually determines how productive an engineering team is.
The fundamental gap in work tracking tools: they track status, not resolution. Why ghost work happens and how verification closes the gap.
How high-performing teams connect production signals to architectural decisions. The missing feedback loop: from incidents and metrics back to codebase design.
DORA tells you how fast you ship. It doesn't tell you what you're shipping. Here's what product metrics you need alongside deployment metrics.
Measure code health through understandability, modifiability, and resilience. Learn metrics that correlate with engineering velocity and incident rates.
How to make technical debt measurable and tradeable in prioritization conversations with stakeholders.
Priya Shankar
Head of Product
Why sprint velocity misleads teams. Track deployment frequency, change lead time, and cycle time instead. Metrics that actually predict outcomes.
