The State of Code VIP roundtables

Join us in London on

Wednesday, Dec. 10, 2-6 pm

The AI Productivity Paradox

The promise of AI coding is that it can increase development velocity, but many organizations are not seeing the productivity improvements from AI they expected. Why? AI can write code fast, but the code often has issues, and the review process for all of this new, potentially problematic code is creating a new bottleneck.

This AI engineering productivity paradox—increasing coding speed not directly relating to improved development velocity—is the subject of Sonar's upcoming roundtables in NYC & London. Join us and discuss with your peers how to fuel AI-enabled development, while still remaining confident in the quality of the code you create.

Based on exclusive data from Sonar's latest "State of Code" reports, our roundtables will dive into critical topics such as the strengths and weaknesses of leading LLMs. We will also explore the evolving role of the developer in the age of AI and how to effectively manage  the risks with AI-generated code while also taking full advantage of the most powerful LLM capabilities.

This isn't a lecture series—it's a high-level conversation to help you adopt AI for coding and make data-driven decisions. By sharing challenges and solutions with industry leaders, you will leave with a clear framework for building a more secure and productive development environment. 

In this new world where AI is the new driving force in software development, these discussions will help us understand how we can improve the state of code across all our organizations.

Drawing on insights from our latest State of Code report, we will explore:

• The Review Bottleneck: Strategies for managing the surge in AI-generated code
• Evolving Security Risks: Combating issues like hard-coded secrets and injection attacks common in LLM-generated code
• The New Developer Role: How to maintain engineering discipline and standards in the age of AI

Our facilitators

Financial services & fintech

These conversations will focus on the unique security challenges faced by financial institutions when adopting AI. Discussions will cover preventing the most common, high-severity vulnerabilities like hard-coded credentials and injection flaws that AI models often introduce.