Latest
-
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 8 & 9, 2027
Loved LDX3 New York? Pre-sale tickets for 2027 are now available.
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…
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.
2027 pre-sale tickets are live!
Join the conversations next year. Book now to secure the lowest price.
London • June 28 & 29, 2027
More about Software Quality
-
Your team’s AI prompts are code. Treat them like it
AI prompts are now part of the technical surface area of engineering managers.
-
Stop throwing AI at developers and hoping for magic
Engineering leaders reveal a stark gap in AI adoption.
-
Moltbook is the agent security wake-up call for engineering leaders
Agent security is identity security
-
How I got a performance-driven team to care about security
A culture of security testing requires persistence, empathy, and a shared vision of reliability.
-
High-profile AWS outages highlight the risks of AI agents
A recent outage to AWS services has put the spotlight on AI agents and their access controls.
Top Software Quality Videos
-
Launching a Gen AI powered travel companion: A case for tiger teams
Explore Booking.com’s journey in launching a Gen AI travel companion in 3 months, powered by a tiger team approach for rapid, focused product development and innovation.
-
Why you’re doing service catalogs wrong
Learn why service catalogs often fall short and discover practical strategies for building incremental value, avoiding pitfalls, and driving impactful automation and insights.
-
On-call revolution: Building a culture of ownership and collaboration
Discover how innovative on-call rotations empower developers, foster team collaboration, and reduce complexity, creating a cohesive, ownership-driven culture that enhances service quality.
-
What your browser can teach you about software security
Explore how browsers securely handle untrusted code and uncover valuable lessons for designing robust systems from a security engineer’s perspective.
-
Tackling tech debt
Learn practical strategies from a seasoned CTO on managing tech debt effectively – when to embrace it, how to prioritize it, and turning it into growth.
-
Exploring the (testing) pyramid – An expedition towards more accessibility
Explore how applying the testing pyramid to accessibility can streamline development. Learn methods to lower costs, speed feedback, and enhance both product quality and inclusivity.
-
Tech odyssey: The epic saga of a mega migration to temporal
Embark on a journey through the challenges and triumphs of a major tech migration, revealing strategies for scaling, continuous development, and operational excellence in platform transformation.
-
Scaling your ML platform to enable the industrialisation of AI and ML development
Delve into the essentials of scaling ML platforms to industrialize AI development, with insights on prioritizing tools and requirements for efficient, large-scale model deployment.