Latest
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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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If 95% of generative AI pilots fail, what’s going wrong?
Learning the right lessons from that MIT study
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“Trial by fire” is destroying your incident response
The worst time to learn about observability is during an outage.
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In partnership with HarnessHow AI is increasing systems resiliency
Facing more code than ever, learn the resiliency best practices used by SREs, including where AI can help
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 of engineering leadership
London • June 2 & 3, 2026
More about Technical Direction
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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
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Achieving speed and quality without sacrifice in engineering
Combining curiosity and focus to unite two traditionally opposing forces
Top Technical Direction videos
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AI and the future of software engineering
Hywel Carver talks focuses on the shape of engineering teams and how they work – including how they have changed over time with the advent of Agile and DevOps – and suggest how this will change as AI-generated code becomes mainstream.
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In partnership with DoiTDesigning the best cloud architecture for your org
What are the essential components for designing the best cloud architecture for your org?
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Facilitating Software Architecture: Andrew Harmel-Law in conversation
How can you ensure architects and development teams are working towards the same goal?
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AI and the future of software engineering
Hywel Carver talks focuses on the shape of engineering teams and how they work – including how they have changed over time with the advent of Agile and DevOps – and suggest how this will change as AI-generated code becomes mainstream.
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How to make better modernization decisions
Indu Alagarsamy shares some of the methods she has been using such as Service Blueprints, Wardley Mapping, and Architecture/Product Decision Tracking Framework to get buy-in collaboratively.
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AI for software development: A reality check
Birgitta Boeckeler gives an overview of what is actually possible today and walks through four capabilities of Large Language Models that can help us be more effective at software delivery.
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Responsible AI / Ethics in AI in engineering
Maria Gomez Aguirre and Priyanka Syal share insights on how to adapt to this changing landscape and factor in the human impact of our work while building systems and products with AI.
