Is it worth it to DIY engineering intelligence in the age of AI?
A DIY engineering intelligence dashboard takes a day or two to build. Trusting it with a board-level answer takes much more. Here’s where DIY breaks down.
DORA metrics
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LDX3 New York: every AI conversation came back to proof
What engineering leaders at LDX3 New York asked about AI impact, DORA metrics, review debt, and software factories.
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The AI bet is real; can you prove it’s paying off?
Most engineering leaders can’t prove their AI investment is paying off. See the five blind spots standing in the way, and how to close them.
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AI broke one of software’s oldest assumptions
AI code generation isn’t deterministic: the same prompt and model can output different code each run. Aaron Beals answers webinar Q&A on what that means.
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Flux release notes: metrics, AI insights, team dynamics, and custom prompts
Flux’s latest release notes: custom prompts, team-level DORA metrics, and AI-powered analysis of lead time findings, direct from the codebase.
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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.
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Finding a firm foundation for engineering intelligence
Flux is the engineering intelligence platform built on a code-first philosophy to help leaders manage risk and navigate AI complexity.
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Engineering intelligence that delivers a pulse for every leadership role
Engineering intelligence for leadership roles: Get a pulse on your teams and scale visibility from Team Leads to VPs.
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Engineering analytics platforms: your complete guide to data-driven development success
Learn how to evaluate engineering analytics platforms, track DORA metrics, and automate software capitalization for R&D tax credits.
