LeadDev is for leaders who want to run more effective engineering orgs.

New York • September 15 & 16, 2026
Delivering AI results without a playbook?
Find what’s working at LDX3
Latest
Conference talks
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.
Rebuilding the kitchen: Human connection in distributed engineering teams
This is a practical, leadership-focused talk for managers who want their remote teams to feel connected, aligned, and human – not just productive.
Planning next moves: Improving performance when half your stack is someone else’s problem
Learn how to measure latency, set realistic goals, and improve performance even when critical parts of your system are out of your control.
Moving accessibility from debt to done at giffgaff
How accessibility became part of everyday engineering, improving inclusion and business impact without slowing delivery.
Accelerating sustainably with AI
Scaling AI coding across teams requires culture shifts, standards, documentation, and thoughtful sustainable engineering practices.
We doubled engineering productivity at eBay, but couldn’t change culture
Learn how to use stories to improve your influence as a leader.
Up and down the management track: Equalising your leadership style across the pressure of scale
A real-world guide to shifting your mindset and skills as you move between managing people, managers, and entire organizations.
Reports
The Engineering Leadership Report 2026
We asked 600 engineering leaders how the role is evolving, where the challenges lie, and what the future holds.
The State of AI-Driven Software Releases 2026
We asked 400 engineering leaders how they are measuring the performance of their systems and the impact AI is having on that performance.
The Engineering Performance Report 2025
We asked 400 engineering leaders how they are measuring the performance of their systems and the impact AI is having on that performance.
The Engineering Team Performance Report 2025
We asked 500 engineering leaders how and why they measure their team’s performance. Here’s what we found.
Upcoming panel discussions
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In partnership with Octopus DeployHow much autonomy do you give autonomous agents?
It’s important to find your trust threshold when working with AI agents
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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


The festival for modern engineering leadership
New York • September 15 & 16, 2026
Must read
Ageism is squeezing everyone out of tech jobs
Tech companies are steering clear of both younger and older generations.
AI adoption has to be driven from the top
Not by mandate, but clear leadership and guidance over why AI is being adopted.
Put an end to being the “go-to” engineer
Being the individual people run to in a fire may feel great short-term, but the negative effects can pile up.
On our LeadDev playlist
Make it count; A no-nonsense guide to engineering metrics for the busy leader
Gain practical insights on engineering metrics that help busy leaders prioritize effectively, address delivery challenges, and measure team performance to maximize impact and productivity.
Behind the scenes scaling ChatGPT
Evan Morikawa gives you a behind the scenes look at how we scaled ChatGPT and the OpenAI APIs. A story about staying nimble enough to release new capabilities and to respond quickly to a rapidly changing industry.
Shopify’s remote working toolbox
This talk presents Shopify’s remote working toolbox, which is a collection of learnings, best practices and ideas for other leaders that are wishing to work and attract talent globally, but must fundamentally shift their culture to do so.
Leveling up engineers in an AI-driven world
Learn how to mentor junior engineers in an AI-driven world by reinforcing core skills and balancing AI-assisted workflows.
Why 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.
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