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.
Engineering leadership
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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.
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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.
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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.
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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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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.
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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?
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Camping out: engineering intelligence for teams
Reflections from Boston Code Camp on why engineering intelligence for teams depends on developer buy-in and moving beyond ticketing data.
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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.
