
Latest
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Why Zig is moving on from GitHub
A scathing review has broader implications for AI use by major platforms.
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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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In partnership with HarnessHow McDonald’s and JPMorgan Chase safely scale experimentation
Learn how some of the largest multinationals safely run measurable experiments at the speed of AI — with guardrails not gates.
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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Should JavaScript really be split in two?
A radical new proposal for JavaScript has divided opinion over who stands to benefit.
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Learning to trust generative AI
Love it or loathe it, engineering leaders have to learn to live with generative AI, but can you ever really trust the model?
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Understanding the ‘Cambrian explosion of generative AI tools’
And other themes from the latest Thoughtworks’ Technology Radar
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Breaking down the WordPress drama
A dispute has riven the WordPress community in half, how does this impact developers?
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Build an AI roadmap that actually delivers value
There are lots of things to consider before you dive into the world of AI. If you want to do it correctly, consider these core elements.
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How to craft a realistic technology roadmap
Technology roadmaps are difficult things to navigate. Having a realistic approach can save you a lot of time and energy.
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5 questions to ask when buying a feature management tool
Helping you assess the best tools in the market.
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5 signs you’re ready for feature management and experimentation
Are you ready to take the next step?
Top Technical Direction videos
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Escaping the rewrite trap
Gain practical frameworks to assess rewrites vs. evolution, plan successful migrations, and align teams and stakeholders without losing momentum.
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Technical Steering Groups: Balancing autonomy, technical alignment, and speed through strategic collaboration
Learn how technical steering groups drive technical alignment while fostering ownership – balancing autonomy and collaboration to fuel speed, innovation, and impactful decision-making across teams.
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Honey, I shrunk the bill!
Learn proven strategies to reduce cloud spend by improving visibility, auditing usage, and optimizing data and microservices infrastructure for efficiency
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Optimization of mobile development strategy for maximum business impact
Learn how to optimize mobile strategy—tech choices, team structure, and processes—for faster delivery, scalability, and measurable business results
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Theory to action: Architecting and implementing your team operating system
Learn the theory behind the operating systems of high-performing engineering teams. Leave with a practical idea of how to design a flexible team operating system with rhythms, tools, and feedback loops for your team.
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Becoming AI engineers
Discover how to build reliable, high-impact AI features—tools, patterns, and team practices that make AI integration truly transformative
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Effortless execution: Designing processes that don’t need babysitting
Discover five characteristics of team processes that can save your sanity, improve your relationships, and let your team take pride in being a well-oiled machine.
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How to make the perfect decision
Master decision-making in software architecture with frameworks that drive alignment, reduce risk, and deliver meaningful, context-aware outcomes

