AI generated code: revisiting the Iron Triangle in 2025
Does AI generated code break the Iron Triangle? Explore new research on quality, trust, and the hidden costs of AI tools.
Ted Julian is the CEO and Founder of Flux, as well as a well-known industry trailblazer, product leader, and investor with over two decades of experience. A market-maker, Ted launched his four previous startups to leadership in categories he defined, resulting in game-changing products that greatly improved technical users' day-to-day processes.
Does AI generated code break the Iron Triangle? Explore new research on quality, trust, and the hidden costs of AI tools.
Try Flux’s free trial now to see how you can get insight into code quality and complexity, security and privacy, third-party dependencies, and architecture.
Engineering leaders face rising AI expectations but flat results. Learn how code-first engineering intelligence closes the gap with real data.
AI is upending long-held software engineering assumptions, forcing leaders to rethink architecture, team structure, and product velocity to stay competitive.
An AI code analysis platform can help save your engineering team from flying blind into the bugs, debt, and hidden complexity that come with AI-generated code.
As AI-generated code floods engineering teams with unprecedented speed, leaders must evolve their quality processes to avoid a rising tide of bugs, bloat, and burnout.
Effective engineering stakeholder management means creating systems that balance stakeholder demands with developer focus—minimizing interruptions, boosting productivity, and enabling faster, more informed decision-making.
AI code generation risks—from security flaws to maintainability issues—pose serious challenges developers must manage to ensure long-term code quality.
Fragmented code evaluation tools create inefficiencies, increase costs, and reduce developer morale. AI-powered solutions offer a better path forward.