From Faster Code to Safer Code: Maximizing AI's Benefits with Static Analysis

Around 85% of professional developers are using (or plan to use) AI coding tools this year, according to a Stack Overflow survey. While AI enables developers to produce code faster than ever, recent industry analyses show that the quality of AI‑generated code is declining, introducing security vulnerabilities, maintainability issues, and hidden defects that put release timelines and product integrity at risk. So how much time is it really saving teams, if at all?

This rising complexity makes robust static analysis more essential—not optional. By automatically identifying defects, security weaknesses, and structural issues early in the development lifecycle, teams can maintain the velocity that AI provides without compromising safety or reliability.

In this session, product experts Steve Howard and Gil Riddall will explore: 

• Why the surge in AI‑assisted development is increasing the need for more stringent code quality practices.
• How Perforce Static Analysis empowers engineering teams to leverage AI responsibly—avoiding the risks of unchecked code generation.
• Automation techniques that reduce time to resolution – never fail a merge/pull request quality gate again! 
• Ability to integrate AI-assisted code remediation into your existing workflows. 
• Developer control over AI-generated proposals - human approval required!
• How intelligent solutions boost developer efficiency and shift development further to the left of the SDLC - freeing your teams to innovate.

So get your questions ready and reserve your spot today!