Latest
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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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Feeling the squeeze? GreenOps offers a sustainable solution for busy engineering teams
Discover how GreenOps empowers engineering teams to integrate sustainability into their workflows, building on FinOps and DevOps principles for efficiency and environmental impact.
Editor’s picks
That’s a wrap for LeadDev Berlin 2024!
Watch all of the talk videos from an incredible two days with a digital pass.
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
Managing architecture
Lutz Hühnken talks about the importance of a strategic approach to software architecture, that prevents teams from becoming architecture firefighters, who spent an excessive amount of energy applying short-term fixes to architectural problems.
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.
Writing your technical strategy
Bruce Wang talks about Writing your technical strategy (psst, it doesn’t have to feel like a Squid Game) at LeadDev Together in February 2022.
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.
That’s a wrap Berlin!
Catch-up on all the Lead Berlin 2024 talks with a digital pass.
More about Technical Direction
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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?
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How to choose the right generative AI vendor
With so much out there, it’s difficult to know which vendor is right for your company. Here are some things to get you started.
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Content sponsored by YLD
How to get started with GenAI
Successful adoption of Generative AI starts with a solid foundation, both with your data and your people.
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Content sponsored by WorkOS
The engineering leader’s guide to becoming enterprise ready
If you’re responding to enterprise demand, or just preparing for the day, here are three areas to consider to make your products ready.
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The best feature management and experimentation software 2024
Feature flags and experimentation are critical for progressive developer teams who want granular control over their feature delivery. But which tool is the right one for you?
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Be careful with ‘open source’ AI
Open source AI models may be appealing for developers, but there are still plenty of complex risks to assess.
Top Technical Direction videos
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Tech odyssey: The epic saga of a mega migration to temporal
Embark on a journey through the challenges and triumphs of a major tech migration, revealing strategies for scaling, continuous development, and operational excellence in platform transformation.
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Scaling your ML platform to enable the industrialisation of AI and ML development
Delve into the essentials of scaling ML platforms to industrialize AI development, with insights on prioritizing tools and requirements for efficient, large-scale model deployment.
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From hurdles to highways: Crafting a collaborative experimentation ecosystem at GetYourGuide
Discover how GetYourGuide transformed its experimentation platform, navigating challenges to build a streamlined, collaborative, and innovative ecosystem for efficient testing and creativity.
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Content sponsored by Logz.ioAn engineer’s guide to making sense of log data
Cloud native technologies have made it harder to understand how systems are behaving. Logs are the answer, but how do you make sense of them?
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Content sponsored by ChainguardDoes ‘shifting security left’ really work?
“Shifting security left” is a term in modern DevOps that refers to the practice of integrating security measures earlier in the software development lifecycle (SDLC).
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Beyond the hype: Practical steps to establishing and scaling your data & ML team
Discover how to build and scale a data team, implement practical machine learning, and drive success with data-driven decision-making in a growing company.
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Content sponsored by SpaceliftWhat is developer self-service, and does your org need it?
In this webinar, we hear from engineering leaders who have built developer self service ecosystems, and lessons they learned along the way.
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Content sponsored by Split by HarnessSpeed vs safety: Should we rethink the way we release software?
In this webinar, we ask if it’s possible for engineering leaders to prioritize speed of delivery and proper safety practices.