
Latest
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Most companies still aren’t measuring AI coding tools
AI adoption is soaring, but 82% of organizations still aren’t measuring the impact of AI coding tools.
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The one way to crack technical estimations under pressure
Technical estimations require overview of many different moving parts. Why not solicit the help of your team to move things along?
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In partnership with Stytch
Are you ready for AI agents?
AI is changing how apps get accessed – are your systems built to keep up?
Editor’s picks

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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.
More about Technical Direction
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Evan Morikawa on how OpenAI scaled ChatGPT
Ahead of his talk at LeadDev West Coast in October, OpenAI’s Evan Morikawa goes behind the scenes on scaling ChatGPT, the constant need to reset as a leader, and how GPUs don’t grow on trees.
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AI and Kubernetes are pushing cloud costs out of control
How can you fight back against rising cloud costs while still adopting modern technologies like AI and Kubernetes?
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5 mistakes to avoid when choosing a software developer analytics tool
There are lots of things to consider when choosing software analytics tools.
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Who holds the edge in the JavaScript framework wars?
Are React and Angular breaking free of the competition in the great JavaScript framework wars?
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How business strategy can help to prioritize projects
As a staff+ engineer your company’s business strategy can be a great indicator as to which projects you need to prioritize over others.
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12 things to consider when assessing open source software
Open source has been gathering more and more traction. But consider some of the risks before taking a leap.
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Leading open-source teams in large organizations
You can nurture and grow a highly impactful open-source project in your organization by systematically building an excellent team, technology, and product.
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Whatever happened to Big Data?
In the world of AI, cloud services, and automation, the tools and expertise engineering managers need to mine large-scale data sets are changing, fast.
Top Technical Direction videos
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Crossing the enterprise chasm
Learn proven strategies to scale from PLG to enterprise, making your app “enterprise-ready” and driving upmarket growth. Ideal for product leaders and technical founders.
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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.