
Upcoming events
Find fresh ideas, useful conversations and new connections.

Berlin • November 9 & 10, 2026
Close the gap between where you are and need to be.

London • June 28 & 29, 2027
Learn what’s working for engineering leaders right now.

New York • September 8 & 9, 2027
Get fresh perspective on the challenges you’re facing.
Upcoming online panels
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In partnership with ChainguardClose the maintenance gap AI created
October 7, 2026 • 4.00PM39% of AI-generated code gets rewritten within two weeks. Here’s how to catch it first.
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In partnership with HarnessWhat breaks when AI opens pull requests
October 8, 2026 • 12.00PMGitOps was built for humans, not agents.
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In partnership with TaxnovaInside the engineering finance paradox
October 14, 2026 • 4.00PMThe CFO discussion is coming. Here’s how engineering leaders can prepare for it.
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In partnership with LaunchDarklyControlling your AI software factory
October 15, 2026 • 12.00PMHow do you stay in control of systems that never stop evolving?
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In partnership with GitkrakenProve your AI gains, then improve them
October 21, 2026 • 4.00PMTurn real usage data into a clear read on your agents’ ROI — and a plan to improve it.
Upcoming demos
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In partnership with Cockroach LabsLive Demo: Cockroach Labs
October 9, 2026 • 5.00PMSee resilience in action with Cockroach Labs. This live demo will show how distributed databases stay available through failures, keep data consistent, and isolate workloads, all without manual intervention.
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In partnership with Octopus DeployShipping at the Speed of AI: Deployment Guardrails for the LLM Era
October 8, 2026 • 3.00PMSee how Octopus Deploy helps engineering teams keep pace with AI-driven development. This live demo explores how Platform Hub adds the guardrails teams need to ship faster while maintaining control over what reaches production.
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In partnership with MablLive Demo: Mabl
October 6, 2026 • 3.00PMSee how mabl is helping teams keep testing up to speed with AI-driven development. This live demo covers plain-language test creation, self-healing tests, AI code verification, and faster CI testing with automatic failure analysis.
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In partnership with AntithesisFast, Safe, Ambitious: Choose 3
October 1, 2026 • 3.00PMSee how Antithesis uses deterministic simulation testing to help teams move fast without compromising reliability. This live demo explores how teams can test complex systems, uncover hard-to-reproduce failures, and build greater confidence into the SDLC.
Recent recordings
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In partnership with Octopus Deploy
How to InnerSource your platform
Open the platform to developers without rebuilding from the ground up.
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In partnership with Flutterflow
The missing layer between product and engineering
When product and engineering domains overlap, full-context awareness becomes the bottleneck.
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In partnership with Harness
Don’t let AI model changes break your workflow
Build the tooling, guardrails, and context-rich practices to mitigate constant model turnover.
Free online workshops
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In partnership with Gitkraken
How to track your agents
A hands-on workshop where you’ll use a dashboard to track your AI agents.
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In partnership with Gitkraken
The AI agent metrics framework
A hands-on workshop where you will learn how to measure the environment, behavior, and outcomes of your agents.

Berlin • November 9 & 10, 2026
The pressure is real.
Find what works.
You’re expected to deliver results from AI, keep your team from burning out, and close the gap between what leadership expects and what’s actually possible. And do all of it without a clear engineering leadership playbook.
LeadDev Berlin is where that changes.
Featuring
Upcoming in-person events


Berlin • November 9 & 10, 2026
Join 1500+ engineering leaders in Berlin to find what works when the pressure is real and the job is changing faster than the playbook.


London • June 28 & 29, 2027
Join Europe’s largest concentration of engineering leaders for ideas, conversations, and learning across every leadership level.
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 Octopus DeployHow to InnerSource your platform
Open the platform to developers without rebuilding from the ground up.
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In partnership with FlutterflowThe missing layer between product and engineering
When product and engineering domains overlap, full-context awareness becomes the bottleneck.
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In partnership with HarnessDon’t let AI model changes break your workflow
Build the tooling, guardrails, and context-rich practices to mitigate constant model turnover.
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In partnership with FusionAuthThe real impact of AI on software engineering
Live findings, real benchmarks, and what engineering leaders should do next.
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In partnership with HarnessYour AI coding spend is soaring, but can you prove its ROI?
How to map spending to outcomes before the next budget review.
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In partnership with HarnessGovernance is the platform problem worth solving
How to embed AI governance into platform engineering.
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In partnership with CodeRabbitEffective verification for humans and agents
How to build an SDLC that catches errors at the source.
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In partnership with HarnessHow to clean up the tech debt your AI is creating
Because you can’t afford not to.
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Planning for success when scaling rapidly
Create goals, prioritize effectively, set expectations, and drive alignment.






