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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Having impact in engineering by supporting other people’s ideas
How to build an engineering organization that drives ideas from everyone in the team.
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Ten things you need to know before making a build vs. buy decision
Exploring the path to reaching an outcome
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Driving inclusion with explainable artificial intelligence
Concepts and challenges towards responsible AI
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The long tail of product features
Making your customers and partners your core assets, not your software
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Abandoning the build: when investing is the only way to scale
Giving your systems and engineers a new lease of life with an external solution
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Empowering your engineering team with an effective decision-making process
What does a good decision look like? How do you get there?
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Designing for money and happiness in large-scale open source
Making the happiness and satisfaction of your community a design requirement
Top Software Quality Videos
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The art of giving and receiving code reviews gracefully
Code reviews are critiques of a person’s work. If they are invested in that work, then that critique feels personal.
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ICON Framework: Creating Value From Machine Learning
Banjo Obayomi talks about the 4 parts of the ICON framework and how you can apply it to your development cycles to align your efforts and bring business value.
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Streamlining the management of multiple websites and apps
Prepare your team to work effectively across contexts
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Establishing experimentation as a core part of your project workflow
Gain actionable insights from your users and improve engineering velocity
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Living without pre-production environments
Historically when we developed large monolithic applications we had several ‘lower’ environments such as dev, test, staging, pre-prod for verifying different stages of our development life cycle. These were particularly used for manual testing – integration testing, gatekeeping, acceptance testing.
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How simplifying software can save your engineering teams’ time
We’re conditioned to think from an early age that exciting things are the best. That attitude can extend to engineering, too.
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Scaling performance at the scale of Slack
One of the major challenges faced by teams working on high growth product is of performance. Systems that are built for a given scale of users often fail to deliver the necessary throughput when run with orders of magnitude of load more than what they are built for. Software teams have historically resorted to a myriad set of ways in scaling performance.
