Latest
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Why Zig is moving on from GitHub
A scathing review has broader implications for AI use by major platforms.
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Why AI economics are fundamentally broken
Making money from software is not the same equation in the AI era.
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In partnership with HarnessHow McDonald’s and JPMorgan Chase safely scale experimentation
Learn how some of the largest multinationals safely run measurable experiments at the speed of AI — with guardrails not gates.
Editor’s picks
Deadline: January 4, 2026
Call for Proposals for London 2026 is open!
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
London • June 2 & 3, 2026
More about Technical Direction
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How to choose the right generative AI vendor
With so much out there, it’s difficult to know which vendor is right for your company. Here are some things to get you started.
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In partnership with YLD
How to get started with GenAI
Successful adoption of Generative AI starts with a solid foundation, both with your data and your people.
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In partnership with WorkOS
The engineering leader’s guide to becoming enterprise ready
If you’re responding to enterprise demand, or just preparing for the day, here are three areas to consider to make your products ready.
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The best feature management and experimentation software 2025
Feature flags and experimentation are critical for progressive developer teams who want granular control over their feature delivery. But which tool is the right one for you?
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Be careful with ‘open source’ AI
Open source AI models may be appealing for developers, but there are still plenty of complex risks to assess.
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How to get the most out of staff+ engineers
Staff+ engineers are often overlooked despite their wealth of knowledge and business understanding. How can we stop the cycle?
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Why Elixir is one of the hottest programming languages to learn
The 2024 Stack Overflow survey highlighted little-known Elixir as the second-most desired programming language to learn.
Top Technical Direction videos
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Navigating LLM Deployment: Tips, tricks, and techniques
Unlock best practices for deploying self-hosted LLMs—optimize performance, ensure reliability, and tackle real-world challenges in critical industries
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Everything you always wanted to know about game engines
Learn how to leverage game engines like Unity and Unreal to accelerate innovation in AI, robotics, simulation, and beyond
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From autocomplete to agents: AI coding assistance state of play
Everybody wants high reliability, but the path isn’t exactly clear. This talk is for people who need to know what works and what doesn’t.
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Going all-in on data products
Explore how a development team fully embraced building a data product alongside their new operational product.
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Getting excited about maintaining legacy systems
Learn how maintaining legacy systems builds real-world skills in debugging, system thinking, and mentoring others effectively.
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Documentation and AI: How to write right now
Think AI can handle your documentation? Sometimes. This talk breaks down where it helps, where it doesn’t, and what still needs the human touch.
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A safe place to land: Practical (and hyper-scale tested) advice for technical decision-making while evolving systems in place
Practical strategies for evolving systems at hyperscale while balancing innovation, stability, and reliability – featuring real-world insights from Fastly.
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Fast, informed, impactful: How to master decision-making
Master the art of efficient decision-making and turn slow, ineffective engineering decisions into a powerful competitive advantage.