[Free Live] In the Age of AI Coding, How Should Code Quality Management Change?

Efficient Code Quality Management and Cost Optimization Using Qodana: Inflearn’s Real-World Case Study

As AI coding tools have quickly become an integral part of the development process, the way code is written is also changing.

While the speed of writing code has increased, reviewing the generated code and maintaining its quality still remain the responsibility of development teams. Whether AI reviews alone are sufficient, what role static analysis can play, and which tools to choose have also become new questions to consider.

In this webinar, we will explore the code quality management practices needed in the age of AI-assisted development through Infralab CTO Dongwook Lee’s real-world experience, insights from the JetBrains Qodana team, and a live demo.

October 20, 2026 (Tue) 5:00 PM / Inflearn Live / Free

Sign up now!

Webinar Agenda

1. How Static Analysis Complements AI in AI-Powered Development Workflows

Speaker: Kai Schmithusen, JetBrains Qodana Team

• The Costs of Poor Code Quality

• The Spread of AI and Changes in the Development Environment

• The Impact of AI on Code Quality

• Key Issues That Can Arise in AI-Generated Code

• How to Use Static Analysis

• Technical and Cost Complementarity Between AI and Static Analysis

• Application examples through real-world cases

2. Essential in the AI Era – The Journey of Static Analysis Tools: From SonarQube to Qodana

Presenter: Lee Dong-wook, CTO of Inflearn

• Inflearn’s Current Use of AI and Changes in Its Development Practices

• Using AI Code Reviews in the Development Process

• Strengths and Limitations of AI Reviews

• Background to Considering Alternatives to SonarQube

• Alternative solution evaluation process (

  Semgrep, DeepSource,

  Datadog Code Security, Qodana)

• Changes and Practical Experience After Adopting Qodana

3. Live Demo of Qodana in Action

Presenter: Lee Hyun-jung, Engineer at Dangunsoft

1) Quickly run static analysis within your local IDE

• Checking for hardcoded passwords and API keys

  
  

• Detecting SQL Injection Vulnerabilities (Data Flow Analysis)

  
  

• License audit

  
  

• Tips for Using Qodana AI - Setting Up Organization-Specific Rules

2) Viewing static analysis results in the UI dashboard

• View the types of licenses used all in one place

• Cloud vs. Containers

4. Q&A

You can directly ask the JetBrains Qodana team, Lee Dong-wook of Infralab, and Dangunsoft engineers any questions you may have.

Recommended for those who

• Developers who are using AI coding tools in actual development work

• Those who are curious about the role of AI code review and static analysis

• Tech leaders / engineering managers concerned about their development team’s code quality and review process

• Teams that want to automate repetitive code validation and use development and QA resources more efficiently

• Teams that want to manage code quality and licensing costs more predictably as AI increases the volume of code.

• Development organizations that want to manage not only code quality but also security vulnerabilities and license audits միասynchronously.

Webinar Information

Date and time
October 20, 2026 (Tuesday) at 5:00 PM

Format
Online live webinar

Participation fee
Free

Duration
Approximately 90 minutes (including Q&A)

💡 Learn about the limitations of AI code review and the real-world Qodana adoption experience, and see through a live demo how to manage code quality more efficiently while optimizing the burden of reviews and QA, as well as operating costs.

This webinar is co-hosted by JetBrains and Dangunsoft.

What is Qodana?

Qodana is a platform that applies JetBrains' code analysis technology to your development workflow,
enabling you to continuously monitor and manage code quality from the IDE through CI/CD.

• Static code analysis
  You can analyze and identify various code issues, including code smells, duplicated code, complexity, and security vulnerabilities, throughout the development process.

• IDE and CI/CD integration
  It supports various development environments, including JetBrains IDEs and VS Code, and you can run Qodana analysis in major CI/CD pipelines.

• Quality Gate
  You can configure the criteria so that the CI/CD pipeline fails when the code does not meet the quality standards set by the team.

• Security and license management
  Depending on the plan and language, it provides features such as vulnerability scanning, taint analysis, and license compatibility checks for open-source dependencies.

• Quick-Fix
  With supported Qodana licenses and languages, you can use the Quick-Fix feature to automatically fix some of the issues found.

In this webinar, we go beyond introducing features to explore the role static analysis can play in the era of AI coding, why real-world development teams chose Qodana, and how Qodana can be used in actual development environments.

Want to try applying Qodana directly in your organization?

See firsthand the analysis and cost optimization benefits of Qodana introduced in the webinar using your existing codebase.
With official support from Dangunsoft, you can conduct a free two-week assessment (PoC),
and also take advantage of the first-come, first-served 20+5 license promotion.
👉 [View the Qodana 2-Week Free Assessment and Benefits]