Latest
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Shai-Hulud shows engineering teams have a new AI security problem
Shai-Hulud exploited what already existed.
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In partnership with HarnessGovernance is the platform problem worth solving
How to embed AI governance into platform engineering.
Editor’s picks
New York • September 15 & 16, 2026
The pace of change keeps accelerating. See what other leaders are doing about it, at LDX3 New York.
Essential reading
How to build an effective technical strategy
Building a tech strategy requires a lot of moving parts. Learn about what routes to take and whether decisions should be top-down.
On our Technical Direction playlist
Modernizing legacy systems: A technical strategy for evolving monoliths into modern architectures at HelloFresh
Gain insights into transforming legacy systems into scalable architectures, with practical strategies for balancing stability, managing technical debt, and enabling growth opportunities at HelloFresh.
Technical Vision vs. Technical Strategy: The difference and why it matters
Jonathan Maltz digs into the nuts and bolts of setting a successful technical strategy. Startin by talking about the difference between technical vision and technical strategy.
How to implement platform engineering at scale
In this webinar, we’ll hear from enterprise engineering leaders who’ve overcome cultural barriers and team silos, and successfully adopted platform engineering practices in their orgs.
Good technical debt
Jon Thornton discusses how this framework was used to rapidly build and ship Squarespace’s Email Campaigns product in less than 15 months. Along the way, you’ll get several practical guidelines for how tech debt can supercharge your technical investments.
Creating, defining, and refining an effective tech strategy
Having a defined tech strategy creates alignment and keeps everyone on the same page. So how can you ensure yours is most effective? Panelists Anna Shipman, Randy Shoup, Papanii Nene Okai, Nimisha Asthagiri and Anand Mariappan share their tips.
The festival for modern engineering leadership
New York • September 15 & 16, 2026
More about Technical Direction
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Living with legacy: landing boring change smoothly
How to safely and effectively decommission legacy
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The thin line between technology advocacy and ideology
Exploring the biases we hold about technologies
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Measuring and improving the efficiency of software delivery
Which metrics are right for your organization?
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Managing technical risk
Understanding the motivations behind an engineer’s desire to affect your tech stack
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Conversations you need to have before moving from monoliths to microservices
Are you making the move for the right reasons?
Top Technical Direction videos
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Ethics in the age of AI: Strategies for mitigation and their historical context
Explore historical lessons on technology harms as Christina Entcheva discusses AI ethics, modern software engineering, and guidelines for product teams to mitigate risks.
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Managing expectations: Lessons from making large-scale platform changes
Discover how Datadog managed the technical and human challenges of migrating 2000+ engineers to Kubernetes, emphasizing effective communication and understanding human behavior during change.
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Dates and deadlines…it’s complicated
Learn key communication habits that clarify dates and deadlines, build trust, and improve team cohesion—especially in distributed teams—while making deadlines a positive, motivating factor.
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Should we multi-cloud?
Is multi-cloud right for your organization? In this session, Tanu shares a decision-making framework and real examples to help you navigate this complex question.
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With great power comes great responsibility
Learn how today’s systems impact billions of lives and why engineers must prioritize failure safety. This talk explores driving this crucial shift in software engineering.
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Training machines to see scenic beauty
Join me as we uncover the methodology behind this research and discuss how we plan to use it to help people connect with beauty around them, wherever they are in the world.
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Uncover the invisible ceiling
This talk will put the spotlight on one of those biases which is the assumption that software engineering around making mobile apps is less complicated or has a smaller scale in comparison to backend or infra engineering.
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Chromosomes in the Cloud: Building a scalable genomic matching algorithm
In this case study, I will walk you through the technical journey of building Atlas – the first open-source, cloud-hosted, genetic matching algorithm – comparing the genetics of patients and donors, and returning a list of donors who could be a match for transplantation.