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.
Engineering leadership
-
-
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.
-
AI solved the code creation problem; now we have a visibility problem
AI solved the code creation problem. Visibility is where engineering leaders win or lose next.
-
Code-first engineering intelligence is having its moment
Gartner’s latest research reinforces a growing reality: code is the most reliable source of engineering insight.
-
The hidden costs of AI-generated code: what engineering leaders need to know
Learn to manage the hidden costs of AI-generated code by balancing rapid velocity with long-term maintenance and risk.
-
Offsite recap: Sintra, AI, and engineering leadership
Flux Sintra Recap: Helping eng leaders navigate AI complexity with code-first insights that surface risk, prove impact, and keep teams aligned in Portugal.
-
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.
-
Four unchanging responsibilities for engineering leadership in 2026
Discover the 4 core engineering leadership responsibilities that remain unchanged in 2026, from managing tech debt to personal ownership in the age of AI.
-
AI transformation in software engineering: 2025 year in review
In 2025, AI transformation in software engineering redefined the industry. How are leaders navigating impacts on quality, metrics, and ROI?
