Dispatches from Flux
Practical playbooks, data-driven insights, and real-world stories to help you lead AI-accelerated engineering organizations with clarity and confidence.
Read the latest from Flux
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.
Why we built Flux, and where we’re taking it
Today we’re announcing $5 million in new funding led by Calibrate Ventures, with participation from True Ventures and Glasswing Ventures.
In the age of LLMs, token usage is a recurring topic
Discover how to filter garbage data from code repositories for LLMs. We share insights from building tools to ensure only useful data is processed for models.
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.
The signals senior engineers read that juniors don’t (yet)
Ramping in a new codebase is about reading the right signals—where work is happening, what kind it is, and where things keep breaking.
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.
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.
Can R&D credits help pay for your AI transformation?!
Flux uses code-based classification to show feature work, making it easier to justify and maximize your claims for R&D tax credits.
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?
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.