
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.
More about Technical Direction
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AI models can’t understand code. Does that matter?
New research highlights how little large language models understand about the code they are churning out. Should we care?
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How Zalando uses its own Tech Radar to make better technology choices
A tech radar can help track emerging technologies and make better adoption decisions.
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4 things you need to know from the latest Thoughtworks Tech Radar
Here’s why AI-assisted software development, open-ish source, and the stubbornness of the pull request should all be on your radar.
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Evan Morikawa on how OpenAI scaled ChatGPT
Ahead of his talk at LeadDev West Coast in October, OpenAI’s Evan Morikawa goes behind the scenes on scaling ChatGPT, the constant need to reset as a leader, and how GPUs don’t grow on trees.
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AI and Kubernetes are pushing cloud costs out of control
How can you fight back against rising cloud costs while still adopting modern technologies like AI and Kubernetes?
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5 mistakes to avoid when choosing a software developer analytics tool
There are lots of things to consider when choosing software analytics tools.
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Who holds the edge in the JavaScript framework wars?
Are React and Angular breaking free of the competition in the great JavaScript framework wars?
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How business strategy can help to prioritize projects
As a staff+ engineer your company’s business strategy can be a great indicator as to which projects you need to prioritize over others.
Top Technical Direction videos
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In partnership with CoderThe perils of context switching
Studies show that it can take 20 minutes to regain focus after a distraction, but what can engineering leaders do to help engineers switch context less often and find flow?
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In partnership with CloudZeroOptimizing cloud costs: Whose job is it anyway?
Who really owns cloud costs? In many organizations, the answer still isn’t clear.
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In partnership with HarnessCrafting the perfect developer platform
From your IDE to CI/CD, where is best to buy vs build?
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In partnership with SwarmiaWhat are qualitative productivity metrics – and how do we measure them?
If your team is hitting key delivery metrics, we assume everything in the lifecycle before production is sound. However, we know that traditional metrics only tell half the story.
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In partnership with CircleCIHow to build experimentation into your technical roadmap
This webinar is for engineering leaders who believe that a strong culture of experimentation drives innovation – and who want to convince peers and stakeholders that it should be part of your technical strategy
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In partnership with HarnessIs infrastructure as code still fit for purpose?
Explore challenges with Infrastructure as Code, strategies to optimize its management, roles of DevOps teams, and tools for scaling complex multi-cloud environments effectively.
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From cost to impact: Leading through infrastructure investment decisions
This session explores tools like SLOs, KPI Trees, and the FinOps culture to make cost management a shared responsibility across the organization.
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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.

