Latest
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AI models can disappear overnight. Is your engineering team built to survive it?
Your AI model could be gone tomorrow.
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In partnership with QodoCode quality in the age of AI
A governance framework for engineering leaders.
Editor’s picks
New York • September 15 & 16, 2026
Delivering AI results without a playbook?
Find what’s working at LDX3
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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How software engineering teams purchase solutions
From startups to enterprises, how do different tech companies purchase solutions?
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Learnings from ‘Carving a modern engineering org out of an enterprise’
Carving a modern engineering org out of an enterprise
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When planning long-term, favor accuracy over precision
Grounding your plans in the value of the work
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A terrible, horrible, no-good, very bad day at Slack
What can we learn from outages when they happen?
Top Technical Direction videos
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In partnership with Apollo
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.
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Transforming legacy software: Riding the rollercoaster of emotion and innovation
This talk delves into overcoming emotional resistance and technical debt in digital transformation, highlighting strategies, tools, and insights that helped drive innovation and effective change.
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Increasing code habitability by using AI coding assistants
Discover how AI coding assistants can enhance code habitability while avoiding pitfalls, with strategies to improve code quality in today’s complex development landscape.
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Making better build vs buy decisions
Master a decision-making framework for build-vs-buy choices in engineering, with real-world examples, collaboration strategies, and tips for avoiding integration pitfalls.
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Empowering developers to accelerate decentralized app development
Learn to quickly launch Web3 apps with Near Protocol and React-on-Chain, enabling cross-chain asset management, DeFi, and Social while simplifying Web3 development.
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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.