Vendor evaluation checklist
A checklist for evaluating AI tools that access your codebase, covering model training, data isolation, agentic risk, and vendor accountability.
Featured
-
-
Security and data governance
How Flux connects to your codebase, isolates your data, and protects your code. Direct answers to the questions engineering leaders ask first.
-
Webinar: AI Code Generation Reality Check
Join Flux for a live walkthrough of the AI Code Generation Reality Check data and what high-performing teams are doing differently.
-
Infographic: AI code generation reality check
Survey of 309 engineering leaders on AI-generated code in production: where adoption stands, where risk is concentrating, and how the best teams are responding.
-
Report: AI Code Generation Reality Check
New research from Dimensional Research: 309 engineering leaders on AI-generated code in production, where visibility is breaking down, and what high-performing teams do differently.
-
Before you connect: evaluating AI tools that access your codebase
A framework for engineering leaders evaluating AI tools that access your codebase: model training, data isolation, agentic risk, and more.
-
Flux solution brief
Understand progress, AI impact, technical debt, team dynamics, and risk directly from the code, without tickets, tagging, or process overhead.
