Latest
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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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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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In partnership with GitkrakenMeasuring the AI impact on developer experience
How to measure the impact of AI tools and agents on developer experience, and link this back to the business
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 of engineering leadership
London • June 2 & 3, 2026
More about Technical Direction
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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.
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Most companies still aren’t measuring AI coding tools
AI adoption is soaring, but 82% of organizations still aren’t measuring the impact of AI coding tools.
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The one way to crack technical estimations under pressure
Technical estimations require overview of many different moving parts. Why not solicit the help of your team to move things along?
Top Technical Direction videos
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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.
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Coherent impact: The art of strategy
Explore how to turn short-term chaos into long-term impact through practical strategies for resilient, grounded engineering leadership.
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Building Figma Draw
Explore how a small, scrappy team at Figma turned a big product vision into a major launch through smart execution.
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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.