The AI Code Wave: How to Use Intelligent Quality Gates to Prevent Reviewer Burnout | On-demand Webinar | Harness Resources
Webinar: On-Demand
Webinar: Upcoming Event
Today, with agentic AI tools flawlessly generating boilerplate and even entire features, your engineering teams are writing less code by hand but reviewing significantly more. And it's not just your engineering peers—product managers, engineering managers, designers, and marketers are now empowered to use agentic tools to write code that you have to review.
In this webinar, we will discuss:
- Strategies for immediate, upstream identification of quality issues to prevent code review bottlenecks.
- Best practices for implementing and enforcing automated quality gates, such as minimum code coverage requirements, before code is merged.
- Techniques for optimizing test execution time through intelligent test prioritization and the skipping of irrelevant tests.
- Methods for distinguishing between random test failures (flaky tests) and genuine code regressions to improve the efficiency and signal-to-noise ratio of code reviews.
- How to leverage high-level failure reporting and contextual insights to quickly diagnose root causes within a pipeline.
At the end of the webinar, you’ll understand what the code changes mean in the broader context of what the entire application does. If you’re a developer, an engineering manager, a DevOps engineer, or a platform engineer, this webinar is for you!
The news of Mythos and Project Glasswing demonstrated that the vulnerability that once existed is now nearly closed. How security and development teams respond to risk has changed. This is your guide to zero-day attacks in the era of Mythos and AI.
In this session, we’ll explore how this shift is taking shape. We’ll look at the principles behind unifying infrastructure and database workflows, how leading teams are reducing risk while increasing delivery velocity, and what it takes to bring stateful systems into the same continuous delivery model as application code.