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
The Quest for Questions
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.
Software Engineering Complexity
Basic AI approaches often fall short for complex code evaluations, so Flux offers a more robust solution that integrates LLMs with other tools to provide engineering managers with trusted, comprehensive insights.
Is AI-Generated Code Fast, Cheap, AND Good?
Flux uses AI to ensure code quality and security, aiming to achieve all three aspects of The Iron Triangle simultaneously – fast, cheap, AND good.
Log4Shell Software Vulnerability Incident Response: Five Unrealistic Expectations Of Engineering Leaders
The Log4Shell vulnerability highlights unrealistic expectations placed on engineering leaders during software vulnerability incident response – learn how to improve your crisis management process.
Code Visibility: Because Ignorance Isn’t Bliss (It’s Expensive)
Technical leaders need to understand their team’s rapidly-changing codebase to stay aligned with the team’s direction, represent them effectively, and help make informed decisions.
Understanding Your Code: The Naive Approach
Flux’s targeted, domain-specific approach overcomes the limitations of simple LLM-based methods that often lack precision and reliability, allowing engineering managers to efficiently understand codebases.
The AI Code Understanding Imperative
See how AI and LLMs provide understanding engineering leaders need to manage complexity in codebases with AI code.
