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Blog
AI agents, engineering automation, product intelligence, and how teams ship faster when their tools finally talk to each other.
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
An honest three-way comparison of LinearB, Jellyfish, and Swarmia for engineering teams evaluating developer productivity and engineering intelligence platforms in 2026.
Editorial Team
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.
Learn how value stream mapping reveals hidden waste in software delivery pipelines. See real-world examples, best practices, and how to optimize your engineering workflow.
A comprehensive guide to measuring, tracking, and communicating technical debt through metrics that matter. Learn 5 key categories of metrics, how to build a tech debt scorecard, and strategies to reduce debt informed by data.
The evolution of software engineering metrics from classical code-level measures to modern flow metrics. Understand why legacy metrics failed and what works today.
Discover why engineering productivity differs from other knowledge work and how to measure outcomes, not output.
The definitive guide to software development metrics. Organized by stakeholder—metrics for developers, managers, and executives—with real-world examples and anti-patterns.
Practical guide to selecting engineering metrics based on your company stage—seed, Series A, Series B+. Includes a metrics selection matrix and framework.
Distinguish efficiency from productivity. Identify efficiency killers and systematically eliminate waste in engineering workflows.
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.
Comprehensive guide to engineering metrics with real examples, formulas, benchmarks, and collection strategies. Covers delivery, quality, productivity, and business metrics.
Most teams track 30+ metrics and act on none. Learn the 12 engineering efficiency metrics that predict velocity drops and drive real performance improvements.
Identify and eliminate engineering bottlenecks using pattern detection, statistical analysis, and proactive monitoring.
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.
