
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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The rise of coding with parallel agents
Exponents see it as the future of software development. Do they have a point?
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Clear technical vision is the key for aligned growth
Technical visions are the guardrails that keep decision-making aligned across orgs.
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How to prepare for AI agents
How leaders can prepare with governance, culture, and a roadmap for responsible adoption.
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Lessons learned launching an MCP server
Steps you can follow if you’re thinking about launching your own MCP server.
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In partnership with Uplevel
Measure first, migrate later: Lessons from a 230% velocity boost
Matt Buckley, VP of Engineering at Avalara, shares how his team used data to modernize legacy deployment processes.
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Turning multi-agent AI into strategic business leverage
Using AI to help bolster business strategy, not just for the sake of it.
Top Technical Direction videos
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In partnership with HarnessAllow anyone to code with AI
How to build a culture that enables even the most skeptical developer to experiment with AI coding tools and fail fast.
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In partnership with Augment CodeHow Tekion enabled 1,300 employees to work with agents
Join Jawahar Prasad, senior director of engineering at Tekion, to hear how they are enabling thousands of users to work with AI agents.
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Transforming tradition: The journey to product-led growth
Learn how Dow Jones is embracing a product-first mindset to drive radical transformation and deliver innovative customer and consumer experiences.
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In partnership with DXLeadership in AI-assisted engineering
Explore proven leadership strategies for AI-assisted engineering, fostering adoption, productivity, psychological safety, and measurable organizational impact.
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Building a cost-conscious culture: Technical and team strategies
Discover proven strategies to optimize cloud infrastructure costs and build a cost-aware engineering culture without slowing delivery.
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The AI-augmented team: Rethinking roles, skills, and leadership
Explore how AI assistants and agents are reshaping team structures, required skills, and leadership in modern engineering organizations.
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Making AI work for you: Examining and enhancing your developers’ workflows
Learn how to assess, adapt, and optimize developer workflows with AI to enhance collaboration, productivity, and measurable impact.
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Lessons learned using Generative AI for product development
Discover practical lessons on applying generative AI to product development, including model choices, evaluation methods, integration challenges, and innovation strategies.

