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 for modern engineering leadership
London • June 2 & 3, 2026
More about Technical Direction
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Yes, the majority of language migrations are driven by hype
AI contributes to the surge, but half still fall short
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How Stack Overflow is innovating to keep up with AI disruption
Large language models, trained on public data, have pushed Stack Overflow toward an existential crisis.
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From on-call firefighting to future-proofing
How to reduce on-call load by 66% and the principles that will help you get there.
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“Vibe hacking” signals seismic shift for engineering leaders
Blackhat hackers have an addition to their armoury. Here’s how engineering leaders can safeguard their systems and stay on high alert.
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Is GitHub’s coding agent your newest junior dev?
GitHub’s new coding agent has some perks, but is still showing signs of significant growing pains. What are the current pain points?
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Why most developers hate their tech stack
Outdated tech stacks are a top reason for developers to quit.
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5 AI agent frameworks for developer teams
If you’re thinking of dipping your toes into the agentic pool, here are some frameworks you could explore.
Top Technical Direction videos
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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.
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Beyond the hype: What test automation really costs
Test automation promises speed and savings, but this talk reveals the hidden costs and how to avoid common strategic pitfalls.
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A reality check on AI’s impact on business transformation
Discover how AI unlocks high-value opportunities beyond code generation, transforming businesses and maximizing the impact of engineering time.
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Building ethical AI: Transparency, bias mitigation, and trust
Explore how to build trustworthy, human-centered AI by prioritizing transparency and effectively mitigating bias, discrimination, and ethical risks.
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In partnership with WarpFrom Prompt to Production: Making AI Work in Your Development Flow
Discover how to move beyond prompt experiments and design AI-first workflows that boost developer productivity and collaboration.