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Flux AI

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

General

The Quest for Questions

October 3, 2024
By Aaron Beals
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.
Read The Quest for Questions
General

Software Engineering Complexity

September 19, 2024
By Rachel Lomasky
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.
Read Software Engineering Complexity
General

Is AI-Generated Code Fast, Cheap, AND Good?

September 12, 2024
By Ted Julian
Flux uses AI to ensure code quality and security, aiming to achieve all three aspects of The Iron Triangle simultaneously – fast, cheap, AND good.
Read Is AI-Generated Code Fast, Cheap, AND Good?
General

Log4Shell Software Vulnerability Incident Response: Five Unrealistic Expectations Of Engineering Leaders

September 5, 2024
By Adrianna Gugel
The Log4Shell vulnerability highlights unrealistic expectations placed on engineering leaders during software vulnerability incident response – learn how to improve your crisis management process.
Read Log4Shell Software Vulnerability Incident Response: Five Unrealistic Expectations Of Engineering Leaders
Codebase intelligence

Code Visibility: Because Ignorance Isn’t Bliss (It’s Expensive)

August 29, 2024
By Aaron Beals
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.
Read Code Visibility: Because Ignorance Isn’t Bliss (It’s Expensive)
General

Understanding Your Code: The Naive Approach

August 22, 2024
By Rachel Lomasky
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.
Read Understanding Your Code: The Naive Approach
The Code Understanding Imperative
AI & Innovation

The AI Code Understanding Imperative

August 15, 2024
By Ted Julian
See how AI and LLMs provide understanding engineering leaders need to manage complexity in codebases with AI code.
Read The AI Code Understanding Imperative

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