
Latest
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In partnership with ChainguardHow to take the pressure off code review
Build safe foundations into the pipeline so reviewers don’t have to be the safety net.
Editor’s picks

New York • September 8 & 9, 2027
Loved LDX3 New York? Pre-sale tickets for 2027 are now available.
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.


2027 pre-sale tickets are live!
Join the conversations next year. Book now to secure the lowest price.
London • June 28 & 29, 2027
More about Technical Direction
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MCP and the future of AI tools
What is the Model Context Protocol (MCP) and how does it simplify data access, enhance AI reliability, and accelerate development?
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The importance of supervising your AI coding agents
And 3 other themes from the latest Thoughtworks’ Technology Radar.
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7 principles for balancing agility and durability
Engineering is a game of trade-offs – move fast and break things, or build slow and last forever? Know when to do which.
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An engineering leader’s guide to SOLID principles
30 years on, how do these design principles stand up?
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Tech debt is an outdated concept
Tech debt is often overused as a blanket statement for all manner of engineering issues. What if we reframed our approach?
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AI agents and the missing link in DevOps
AI agents aren’t just assistants anymore – they’re making decisions. Are engineers ready for the shift or are they just too skeptical?
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The 6 warning signs of overengineering
How to look for the signs of overengineering in software, why it happens, and how to prevent unnecessary complexity to build maintainable systems.
Top Technical Direction videos
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Making AI work for you: Examining and enhancing your developers’ workflows
Learn how to assess, adapt, and optimize developer workflows with AI to enhance collaboration, productivity, and measurable impact.
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Lessons learned using Generative AI for product development
Discover practical lessons on applying generative AI to product development, including model choices, evaluation methods, integration challenges, and innovation strategies.
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Coherent impact: The art of strategy
Explore how to turn short-term chaos into long-term impact through practical strategies for resilient, grounded engineering leadership.
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Building Figma Draw
Explore how a small, scrappy team at Figma turned a big product vision into a major launch through smart execution.
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In partnership with UnblockedAI won’t fix developer productivity (unless you fix context first)
Discover how context engineering unlocks real developer productivity, making AI tools effective by connecting decisions, history, and code.
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AI-accelerated migrations at scale
Learn how Airbnb has been using AI and self-serve tools to enable seamless, large-scale migrations, and some of the hurdles we’ve faced to get there.
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The lean architect: Experimenting your way to better decisions
Discover how hypothesis-driven architecture helps Staff+ engineers make better decisions early, reduce risk, and build resilient systems.
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In partnership with DXLeadership in AI-assisted engineering
Learn leadership strategies for AI-assisted engineering, focusing on adoption productivity, psychological safety, and responsible AI use.
