
Upcoming events
Join us throughout 2026 for inspiring events, workshops, online panels and meetups

New York • September 15 & 16, 2026
Join 2,000+ engineering leaders at the first-ever LDX3 New York!

Berlin • November 9 & 10, 2026
Join engineering leaders figuring out what works without a clear playbook

London • June 28 & 29, 2027
Check out the festival for modern engineering leadership
Upcoming online panels
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In partnership with Octopus DeployHow much autonomy do you give autonomous agents?
July 8, 2026 • 1.00PMIt’s important to find your trust threshold when working with AI agents
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In partnership with ChainguardHow to build trust into your AI agents
July 15, 2026 • 5.00PMThe habits engineering leaders need to scale agentic AI, without scaling risk.
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In partnership with HarnessHow to clean up the tech debt your AI is creating
July 16, 2026 • 5.00PMBecause you can’t afford not to
Recent recordings
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In partnership with CodeRabbit
How can you trust your AI agents?
Agentic explainability matters more than ever.
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In partnership with Harness
Shift to signal-driven software quality
Learn why traditional approaches to code quality are collapsing in the face of AI code generation.
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In partnership with Chronosphere
Do we need AI agents to fix our AI agents?
Assessing your readiness for observability agents.
Free online workshops
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In partnership with Qodo
Code quality in the age of AI
A governance framework for engineering leaders.
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In partnership with Harness
How to build the guardrails your AI releases actually need
Too many organizations are relying on existing guardrails when it comes to AI-generated code.
Upcoming in-person events


New York • September 15 & 16, 2026
The festival for modern engineering leadership is coming to New York for the first time!


Berlin • November 9 & 10, 2026
Join 2000+ engineering leaders in Berlin to find what works when the pressure is real and the job is changing faster than the playbook.
LeadDev meet-ups are expanding in 2026
We run free events year-round in cities all over the world
Highlights from our recent events
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Refactoring LIVE – In conversation with Rands
Luca Rossi sits down with Michael Lopp, aka Rands, to explore engineering leadership in the age of AI.
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Game time: A playbook to (unsuccessfully) 10x in a week and (successfully) 10x in a year
A candid scaling story about why rushed 10x efforts fail, and how disciplined metrics, culture, and architecture win over time.
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Rethinking how distributed teams deliver complex tech
Practical patterns for delivering complex work across distributed teams while improving inclusion, decision quality, and team autonomy.
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The shadow culture: Why engineering principles fail under load
Why engineering principles collapse under pressure, and how redesigning systems makes the right behavior the easy default.
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Your problem isn’t the monolith. It’s the data.
How disciplined data ownership and contracts prevent architectural decay and enable systems to evolve without traumatic rewrites.
Recent webinars
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In partnership with CodeRabbitHow can you trust your AI agents?
Agentic explainability matters more than ever.
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In partnership with HarnessShift to signal-driven software quality
Learn why traditional approaches to code quality are collapsing in the face of AI code generation.
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In partnership with ChronosphereDo we need AI agents to fix our AI agents?
Assessing your readiness for observability agents.
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In partnership with StoryblokWhat are engineers getting paid for now?
As organizations ‘hire’ more agents, we need to talk about how we evaluate and value human engineers.
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In partnership with HarnessHow do you know your AI investment is worth it?
Delivering more stuff doesn’t mean you’re delivering more value to end users.
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In partnership with Octopus DeploySafe production changes with agents
A flexible codebase is a good one, especially in the age of AI-assisted development.
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In partnership with CoderThe high cost of AI immaturity
How to assess where your org sits on the AI adoption scale, and the strategic levers you can pull to move it forward.
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In partnership with GitkrakenMake AI productivity gains stick
How to build a measurement framework for what comes after AI adoption.