Beyond the Hype: How AI Is Really Changing Code Quality in 2025

AI is now a core part of the development workflow—but is it improving the quality of the code we ship? While productivity gains are real, confidence in AI-generated code is still lagging. 

Join us for a deep dive into the findings from Qodo’s 2025 State of AI Code Quality report. Based on data from over 600 developers, this session will break down how teams are actually using AI across the software lifecycle—and what’s working.

We’ll cover:

• How developers perceive AI’s impact on code quality, speed, and job satisfaction
  
• Why context is the most critical factor in building trust in AI-generated code
  
• The link between AI-powered reviews and measurable quality improvements
  
• What’s holding teams back from higher confidence in AI output—and how to fix it

From tool fragmentation to hallucination risks, we’ll unpack what’s blocking adoption at scale—and show how continuous, context-aware AI reviews can help bridge the trust gap. We’ll share practical takeaways on building trust, reducing hallucinations, and turning GenAI into a reliable teammate—not just a code generator. 

Whether you’re evaluating tools or scaling your AI workflow, this session will give you a clear picture of what quality looks like in an AI-assisted world.