Latest
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Your team’s AI prompts are code. Treat them like it
AI prompts are now part of the technical surface area of engineering managers.
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Stop throwing AI at developers and hoping for magic
Engineering leaders reveal a stark gap in AI adoption.
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In partnership with PagerDutyGet smarter with every incident
This panel discussion is for SREs, platform, and DevOps leaders who are looking for strategies to make on-call feel more sustainable and effective. We’ll show you how to break that reactive loop, and the emerging tools and practices to help make your teams, and systems, smarter.
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
Speakers Camille Fournier, Gergely Orosz and Will Larson confirmed 🙌
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
London • June 2 & 3, 2026
More about Software Quality
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Shadow AI is leaving software teams dangerously exposed
Two thirds of organizations report exploits involving vulnerable LLM code.
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Why your boss is the biggest AI risk
Execs have been quick to caution developers about the risks of AI, but don’t seem to be taking their own advice.
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4 steps to speed up code reviews
The culture changes you need to make to stop code reviews from demoralizing teams.
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The unseen fixes that boost engineering performance
At the intersection of toil and operational risk lies “perilwork.”
Top Software Quality Videos
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You can big bang!
Explore when rewriting code from scratch actually works and how to plan a successful, high-impact system redesign.
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In partnership with AntithesisBuild bravely: Delivering risky projects
Learn how clear specifications and property-based testing help engineers take bolder roadmap risks, ship faster, and collaborate safely with LLMs.
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Reimagining the image pipeline at Squarespace
This talk explores the evolution of Squarespace’s image pipeline—why change was needed, how the architecture adapted for scale and flexibility, and the unique challenges faced along the way.
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Scaling LinkedIn’s search infrastructure: Key decisions and engineering challenges
Explore the key engineering decisions and challenges behind scaling LinkedIn’s search infrastructure to support billions of daily queries.
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Compiler makeover: How technical debt created happier developers
Tired of endless patches and quick fixes to your developer tools? So were we. Learn how we at WSO2 turned our outdated Ballerina compiler into a driver of innovation, community growth, and happier developers.
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Tackling tech debt
A seasoned CTO shares strategies and lessons on identifying, communicating, and effectively tackling tech debt across diverse companies.
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In partnership with EppoDeveloping and supporting 12 SDKs with a team of 3
How Eppo by Datadog runs a dozen production SDKs with only a team of three, by treating them as a platform – not twelve separate codebases.
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3 data-backed ideas to deter AI code quality problems
Learn what 250 million+ lines of code reveal about AI’s impact on code quality and how to address it.