
Latest
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In partnership with DrafttWhy software maintenance is stuck in 2015
The tech stack looks nothing like it did ten years ago, but the maintenance of these systems hasn’t kept pace, remaining slow, reactive and stressful.
Editor’s picks

London • June 2 & 3, 2026
Rands, Nicole Forsgren,
& Matej Pfajfar confirmed
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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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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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.
Top Technical Direction videos
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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
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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
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In partnership with MablAre you ready for agentic testing?
AI agents are no longer hypothetical — but are you ready to give them the keys to your test suite?
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In partnership with HoneycombInside our 2025 Engineering Performance Report
Uncover the data behind modern engineering performance and what it reveals about AI, observability, and the future of system reliability.
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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.


