How to implement DORA metrics: a practical guide for engineering leaders
A 90-day DORA metrics implementation plan, with benchmarks, common pitfalls, and how AI changes what these metrics mean.
A 90-day DORA metrics implementation plan, with benchmarks, common pitfalls, and how AI changes what these metrics mean.
Ramping in a new codebase is about reading the right signals—where work is happening, what kind it is, and where things keep breaking.
Flux is the engineering intelligence platform built on a code-first philosophy to help leaders manage risk and navigate AI complexity.
Discover the 4 core engineering leadership responsibilities that remain unchanged in 2026, from managing tech debt to personal ownership in the age of AI.
Reflections from Boston Code Camp on why engineering intelligence for teams depends on developer buy-in and moving beyond ticketing data.
Modern code review is evolving fast—engineering leaders must adapt to AI-driven complexity, distributed teams, and rising pressure on code quality.
AI is speeding up software development, but engineering leaders must remain vigilant against rising tech debt, quality issues, and architectural drift.
GitHub Universe spotlighted the rise of specialized AI agents, rapid prototyping tools, and a strong developer focus—perfectly complementing Flux’s mission to empower engineering leaders and their teams.
Engineering leaders must understand the deeper business drivers behind technical questions, and Flux helps them efficiently break down and answer these complex queries with the right insights.