
Latest
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In partnership with Augment Code
The engineer’s guide to building a software factory
Build loops, not just agents.
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In partnership with HarnessDon’t let AI model changes break your workflow
Build the tooling, guardrails, and context-rich practices to mitigate constant model turnover.
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.


The festival for modern engineering leadership
New York • September 15 & 16, 2026
More about Technical Direction
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Measuring and improving the efficiency of software delivery
Which metrics are right for your organization?
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Managing technical risk
Understanding the motivations behind an engineer’s desire to affect your tech stack
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Conversations you need to have before moving from monoliths to microservices
Are you making the move for the right reasons?
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Embracing simplicity in your engineering team
The prevention of inherent, project-lifecycle-induced, and self-inflicted complexity
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Gathering requirements: techniques for building a solid backlog
Leverage domain knowledge to establish a foundation for your projects
Top Technical Direction videos
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Sunsetting legacy: Navigating the Shop merchant eligibility data pipeline migration
In this talk, I’ll share the strategies used to disassemble our legacy data pipelines responsible for managing merchant eligibility on the Shop apps. Join me on a journey through our successes, challenges, and invaluable learnings in the meticulous orchestration of terminating our legacy data pipelines.
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Architecting for scale: Revisiting fundamentals for sustainable growth
In this talk, Viktor challenges this approach by advocating for adaptability and a return to basics in system design.
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Managing engineering teams in the era of AI
Drawing from my experience as Engineering Manager at incident.io, where I was part of a product team that built the company’s first AI-powered features, this talk combines personal insights and broader leadership strategies.
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Managing the marathon: Leading teams through lengthy migration projects
In this short talk, Lawrence will reflect on his experience leading teams through multi-year migration projects.
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Iterate to Greatness: Building High Performance, AI-native Engineering Teams
In this talk, we’ll discuss how Vercel transitioned to an AI-native company and how you too can operate highly effective, AI-native product engineering teams, from the tools used to the way to stay organised amid the rapidly changing pace of AI.
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Making smart investments: A framework for maximizing your ROI in technical decisions
In this talk, we’re going to explore a framework for evaluating the return on investment (ROI) of complex tech decisions, illustrated with real-world examples that highlight both the traps to avoid and the paths to success. I’ll share methods for pinpointing key metrics that matter, and how to design experiments or proof-of-concepts to measure ROI. Finally we will discuss the importance of staying objective and adaptable throughout the process.
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Data Science Demystified
This talk gives an overview of Data Science and delves deep into the pipeline data scientists use – right from fetching the data, the Python tools and frameworks used to creating models, gaining insights and telling a story.
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How to use technology radars to make transparent tech decisions
The talk centres around the benefits of building such a tool, such as transparency, alignment and faster onboarding.
