Latest
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AI-generated code sparks production confidence crisis
35% of teams won’t ship their own AI-generated code.
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You can vibe code a demo, but what about a product?
Lessons from shipping generative AI products to production.
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AI coding creates two kinds of debt. You’re only measuring one
Cognitive debt is the technical debt nobody is tracking.
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In partnership with HarnessUnlocking ROI through development, release, and experimentation velocity
Learn how faster, more reliable delivery pipelines can unlock experimentation ROI, improve release confidence, and drive compounding gains across teams.
Editor’s picks
The quickly evolving role of QA
In fast-paced software development environments, the way you think about quality assurance needs to change.
New York • September 15 & 16, 2026
Cut through the hype.
Find what works at LDX3 New York
Essential reading
How to bake quality into your teams’ coding process
Taking code quality beyond documentation and into the fabric of your team’s work.
On our Software Quality playlist
Ways your teams can (realistically) prioritize code quality
Code matters – learn how to create a culture of quality in your organisation
Using clinical science to effectively tackle code review anxiety
Uncover the science behind code review anxiety, its cognitive triggers, and actionable strategies to reduce anxiety, fostering a healthier code review culture for all developers.
A guide to creating a great code documentation culture
If your teams are struggling with code documentation, watch this on-demand webinar, where our panel of engineering leaders will discuss best practices and strategies to get started. Code documentation is often viewed as a necessary evil by development teams. There’s no doubt that mastering the art of creating…
Building a better testing culture
How can engineering leaders create a healthy testing culture with clear strategies in place?
Take back control of code quality
In this talk, Joel Chippindale shares stories from his experiences in leading engineering teams that illustrate the dynamics between team members and with stakeholders that lead teams to lose control of code quality.
The festival for modern engineering leadership
New York • September 15 & 16, 2026
More about Software Quality
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Four things you need to know from ‘Using open source safely and effectively’
A snapshot of the series
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How technologists can reduce our ecological footprint
Tech’s impact on global warming and what you can do to help
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The principles and habits of healthy software
Building software that’s set up for a long, healthy life
Top Software Quality Videos
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Using Open Source safely and effectively
How can you make sure your engineering teams are up to date with best practices on open source?
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Collaborative debugging on engineering teams
Teams that write code together should be able to debug issues together. But while we think a lot about engineering collaboratively, we rarely develop processes for debugging collaboratively.
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Building security into your engineering workflow
You don’t need to sacrifice delivery times when building a secure product
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In partnership with Rollbar
Introduction to Continuous Code Improvement
Join our solutions engineer to understand how we can help reduce deployment time and cost with an accuracy that you and your team can rely on.
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Decision Making for Software Engineering Teams: Francesco Strazzullo in conversation
How to be mindful on what data you need to decide on
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In partnership with GitLab
Integer overflows, bad UX, and other ways to waste $870 million
Learn how a DevSecOps mentality is intended to overcome the biases we have for simplicity in our human model of complex systems.
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To kill it with fire, or not to kill it with fire?
This talk explores the technical, organizational, cultural, and psychological factors that matter when we choose between full rewrites or incremental change.
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Scaling Incident Management: How we grew Google Meet 50x during COVID19
This talk will cover how we organized the work — human, technical, and organizational — needed to prevent outages while we strove to keep ahead of pandemic-driven explosive product growth, and we’ll apply it to future long-running, large-scale incidents.