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 HarnessShift to signal-driven software quality
Learn why traditional approaches to code quality are collapsing in the face of AI code generation.
Editor’s picks
New York • September 15 & 16, 2026
Cut through the hype.
Find what works 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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The secret behind Java’s success at 30-years-old
The three ingredients behind the programming language’s extraordinary staying power.
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How Jit overcame developer resistance to shift to Cursor
Israeli startup Jit overcame engineer pushback and boosted productivity by transitioning from JetBrains to the AI-powered coding assistant Cursor.
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AI, platform engineering, or DX? How to choose where to invest
With so many opportunities on offer in the market right now, how can leaders make sure they’re investing in the right thing?
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How to make the right decisions under pressure
Making the right decision under time pressures takes practice. Here are six rules to abide by that help make the process easier.
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The future of testing in compliance-heavy industries
Traditional testing doesn’t cut it anymore. Modern strategies are key to surviving in compliance-heavy industries.
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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.
Top Technical Direction videos
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In partnership with HarnessAllow anyone to code with AI
How to build a culture that enables even the most skeptical developer to experiment with AI coding tools and fail fast.
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In partnership with Augment CodeHow Tekion enabled 1,300 employees to work with agents
Join Jawahar Prasad, senior director of engineering at Tekion, to hear how they are enabling thousands of users to work with AI agents.
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Transforming tradition: The journey to product-led growth
Learn how Dow Jones is embracing a product-first mindset to drive radical transformation and deliver innovative customer and consumer experiences.
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In partnership with DXLeadership in AI-assisted engineering
Explore proven leadership strategies for AI-assisted engineering, fostering adoption, productivity, psychological safety, and measurable organizational impact.
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Building a cost-conscious culture: Technical and team strategies
Discover proven strategies to optimize cloud infrastructure costs and build a cost-aware engineering culture without slowing delivery.
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The AI-augmented team: Rethinking roles, skills, and leadership
Explore how AI assistants and agents are reshaping team structures, required skills, and leadership in modern engineering organizations.
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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.