LDX3 London video hub
All the videos from our London events
LDX3 London 2026 videos
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30 to 70 PRs a day: How we managed to not wreck our systems
In this talk, you’ll learn about ways to improve your DORA metrics to become an elite-performing team that can effectively leverage AI-assisted development, and how benefits compound exponentially from adopting the interlocking modern developer productivity and platform engineering stack.
New York • September 15-16, 2026
Full LDX3 lineup is here 🙌
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Things fall apart – Architecture to avoid progressive collapse
How to design systems so small failures stay contained, preventing cascading outages and large-scale architectural collapse.
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Inclusive leadership across cultures: Practical patterns for global engineering teams
Concrete, repeatable patterns for leading global teams across cultures, reducing friction, building trust, and helping diverse voices contribute fully.
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Finding the 80/20: Lessons from delivering our first LLM feature
How to choose what actually matters when shipping your first LLM feature, balancing evaluation, trust, and delivery without overengineering.
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The mechanics of scaling: Why delivery slows as you grow, and what to do about it
In this talk, I will show how rising incidents, fragile systems, slower delivery and constant firefighting are often signs of hitting systemic limits rather than execution failure.
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Escaping the feature factory: Building strategic team identity
How to turn a ticket-driven engineering team into a strategic partner by shifting identity, metrics, and mindset toward outcomes.
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Quantifying technical debt to modernise critical systems
A data-driven approach to exposing hidden technical debt and modernizing critical legacy systems without risky rewrites.
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Mentoring that actually changes careers
A practical, human take on mentoring that actually helps people grow, by sharing real experience and honest guidance.
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In partnership with PagerDutyProduction AI agents: The gap between promise and reality
Learn what it really takes to move AI agents from impressive demos to safe, reliable production systems.
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In partnership with UnblockedYour agents lack context: Here’s how to fix “You’re absolutely right!”
Learn how to build the context layer AI agents need to produce organization-aware, permission-safe, genuinely useful code.
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In partnership with DXThe state of AI in software development: Insights across 400+ organizations
Learn where AI actually boosts developer productivity, how leading teams measure impact, and practical ways to separate measurable gains from hype.
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In partnership with TailscaleInclusion: What works, and why I’m still talking about it
Explore practical ways to make inclusion part of everyday teamwork, from communication styles to better collaboration and decision-making.
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Crowdsourcing platform engineering
How Cash App built a culture of shared ownership in platform engineering–where empathy, collaboration, and visibility drive developer experience and delivery velocity.
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Moving accessibility from debt to done at giffgaff
How accessibility became part of everyday engineering, improving inclusion and business impact without slowing delivery.
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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.
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How we introduced quality engineering and made everything better!
How modern quality engineering reduced deployment time dramatically while improving developer experience through iterative, sustainable change.
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What does a CTO even do?
A reverse-engineering framework to help engineering leaders broaden impact, break growth ceilings, and develop the skills required for senior technical leadership.
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Updatable repos: Duolingo’s journey to a golden path
A real-world story of reducing microservice sprawl by embedding best practices into templates that teams actually want to adopt.
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Building resilient engineering teams when failure is the default
How teams operating under constant failure build resilient systems and cultures by assuming outages are normal, not exceptional.
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Most MCP servers are collecting dust. Why and how to avoid that.
How to design MCP servers that deliver the right context, stay secure, and actually get used in real workflows.
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The Staff Engineer’s playbook: Intellectual shift to systemic impact
A practical framework for making the Staff Engineer leap, shifting from solving tasks to defining strategy and delivering lasting systemic impact.
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In partnership with DockerShip 10x code safely with agents
Learn how to safely turn AI-generated code into shipped software without slowing developers or compromising enterprise governance.
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Taming the legacy system monster
Learn how to document, stabilize, and modernize legacy systems without risky rewrites or single-person dependencies.
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In partnership with Skiller WhaleAI productivity at enterprise scale
Turning AI adoption into real productivity gains requires changing habits, building skills, and scaling learning across the entire organization.
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In partnership with incident.ioDon’t wait for an outage to improve your reliability
A reliable system isn’t just about your infrastructure. Learn to effectively leverage game days to train engineers and build resilience before real incidents force you to.
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One silver bullet: Adaptability
Hire for adaptability over pedigree, and build teams that can learn, grow, and deliver in a changing industry.
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Shipping secure, reliable and high performance AI agents
A hands-on engineering guide to building AI agents that stay secure, reliable, and fast in real, high-stakes production systems.
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400 Tech Leads. Same problems. None of them technical.
Why tech leads struggle despite strong technical skills, and the small leadership shifts that remove overload, friction, and self-doubt.
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Engineering at scale: Why developer experience is your competitive advantage
How reducing developer friction at scale boosts velocity, quality, and retention, and becomes a real competitive edge in the AI era.
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How to grow your engineers into great leaders
Clear signals, habits, and opportunities that help individual contributors grow into effective managers long before the title changes.
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Look for the helpers
This is a talk about showing up for each other, in the work we do and in our communities at home.
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We doubled engineering productivity at eBay, but couldn’t change culture
Learn how to use stories to improve your influence as a leader.
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Engineering leadership in 2026
Explore what 600+ engineering leaders revealed about how their roles, priorities, and challenges are changing in 2026.
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In partnership with VercelAgentic triage for tackling technical debt
A practical look at using agents to separate urgent system issues from backlog noise, without removing human judgment.
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Lessons from 100 P0 incidents
Hard-won patterns for designing systems and leading teams to detect failures sooner, respond faster, and limit the blast radius.
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In partnership with SoftwireTechnology advances; history repeats itself
Learn how to protect engineering culture, leadership judgment, and technical depth as AI and rapid change reshape the industry.
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Platform engineering for developers, architects & the rest of us (AI agents)
AI is raising the stakes for platform engineering. Learn how to build self-service platforms that support developers and AI systems safely.
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AI killed the coding interviews. Here’s what Meta built instead
How Meta replaced traditional coding interviews with AI-native hiring that measures adaptability, communication, and real-world engineering judgment.
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Designing neuro-inclusive incident management
Learn how small, intentional changes to incident management reduce cognitive load, support neurodivergent engineers, and strengthen system reliability.
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Reading the game: Mental skills for high-performing engineering teams
A relatable look at how reading team dynamics, stress signals, and motivation unlocks stronger performance than technical skill alone.
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Dojo’s leap from 90 clusters to one golden path
How a single golden path replaced massive platform sprawl, delivering self-service, safer defaults, and real operational leverage.
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Detecting the dip: Turning noisy metrics into reliable production signals
How to move from noisy alerts to trusted signals by detecting the dips that actually matter to customers.
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In partnership with HarnessUnlocking ROI through development, release, and experimentation velocity
Learn how faster, more reliable delivery pipelines can unlock experimentation ROI, improve release confidence, and drive compounding gains across teams.
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In partnership with VercelFrom code to confidence: The missing layer in AI-powered development
Explore why AI-powered development needs to move beyond generating code and focus on building confidence to ship safely.
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Building for reliability
Reliability emerges from systems, teams, and decisions. Learn how to design, operate, and scale it intentionally.
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AI in the trenches: Real-world wins without breaking things
How to integrate AI into real engineering workflows to boost delivery speed while keeping systems stable and teams confident.
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Guardrails, not gates: Scaling juniors in the AI era
How automated guardrails let junior engineers ship faster with AI, while protecting quality, safety, and senior reviewer sanity.
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Four dimensions of burnout: An anti-burnout framework for the AI era
A practical framework to help engineering leaders recognize burnout early, rebalance demands, and recover while staying effective and healthy.
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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.
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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.
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Beyond timelines: Learning from incidents
How to run post-incident reviews that surface human, cultural, and psychological factors, turning incidents into deeper learning and resilience.
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In partnership with incident.ioAccelerating sustainably with AI
Scaling AI coding across teams requires culture shifts, standards, documentation, and thoughtful sustainable engineering practices.
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The AI-augmented leader: Architecting your own virtual Chief of Staff
A practical case study on building a personal AI assistant to reduce context switching, automate management work, and reclaim strategic focus.
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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.
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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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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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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.
The festival for modern engineering leadership
New York • September 15 & 16, 2026
Videos from previous years of LeadDev London
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The Pragmatic Engineer live podcast: How AI is changing engineering at Shopify with Farhan Thawar
Listen to a candid chat exploring Shopify’s AI strategy, remote velocity, and a unique approach to career growth.
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Software engineering with GenAI
A look at how AI coding tools are reshaping software engineering, how teams are adapting, and what remains unchanged in the development process.
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From dashboard soup to observability lasagna: Building better layers
Transform chaotic dashboards into a layered observability strategy that improves reliability, streamlines incidents, and builds real on-call confidence
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Building scalable systems in a complex compliance world
Gain actionable insights to build scalable, compliant systems that adapt to evolving regulations while maintaining engineering speed and agility
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Being secure by design: Engineer-led security
This talk shares how the secure-enough software challenge can be solved by building an engineer-led security culture, leading to a culture of collaboration and confidence in good security choices.
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The creative technologist
Learn how to build a creative practice to help you become a more creative leader.
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Using postmortems to break out of infinite loops
Our experience is our best resource when it comes to incident prevention, so why are we so resistant to learning from our past mistakes?
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Growing pains: Scaling and re-architecting systems under fire
Explore how stakeholder buy-in can make or break your system re-architecture during high-pressure scaling challenges.
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FORTRAN’s AI Playbook: Leadership lessons from history
Learn proven leadership strategies from FORTRAN’s history to successfully adopt AI, upskill teams, and drive lasting transformation at scale
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From monitoring to mastery: Building an observability-driven culture
This talk explores how Phorest shifted to an observability-driven culture by aligning technical vision with customer pain, empowering teams through proactive ownership, and embedding observability into software practices to enhance customer trust.
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Escaping the rewrite trap
Gain practical frameworks to assess rewrites vs. evolution, plan successful migrations, and align teams and stakeholders without losing momentum.
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Technical Steering Groups: Balancing autonomy, technical alignment, and speed through strategic collaboration
Learn how technical steering groups drive technical alignment while fostering ownership – balancing autonomy and collaboration to fuel speed, innovation, and impactful decision-making across teams.
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10 things nobody tells you about OKRs
OKRs are a simple – and useful – sounding idea, but in practice, there are all kinds of troubles people get bogged down in. Here are ten, rarely mentioned, things that can help.
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Honey, I shrunk the bill!
Learn proven strategies to reduce cloud spend by improving visibility, auditing usage, and optimizing data and microservices infrastructure for efficiency
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Becoming an AI Engineering company
Learn how to operationalize AI across your organization to drive innovation, improve efficiency, and stay ahead in a competitive market
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The million dollar bug: Quality leadership lessons from costly failures
CrowdStrike lost $5.4B, Sonos stumbled into a $500M crisis – and they’re not alone. Learn battle-tested leadership strategies to protect your organization from quality catastrophes that can shake your business to its core.
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Optimization of mobile development strategy for maximum business impact
Learn how to optimize mobile strategy—tech choices, team structure, and processes—for faster delivery, scalability, and measurable business results
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Theory to action: Architecting and implementing your team operating system
Learn the theory behind the operating systems of high-performing engineering teams. Leave with a practical idea of how to design a flexible team operating system with rhythms, tools, and feedback loops for your team.
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Tracking repository health at scale
Discover how data-driven repository health tracking improves visibility, drives behavior change, and aligns engineering efforts with long-term business goals.
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How Monzo tolerates full cloud outages
Learn how Monzo built a fully independent backup bank to ensure 24/7 reliability—even during full cloud outages
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Becoming AI engineers
Discover how to build reliable, high-impact AI features—tools, patterns, and team practices that make AI integration truly transformative
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Effortless execution: Designing processes that don’t need babysitting
Discover five characteristics of team processes that can save your sanity, improve your relationships, and let your team take pride in being a well-oiled machine.
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Monolith-ifying perfectly good microservices
Learn why consolidating microservices into a Rails monolith boosted performance, reduced complexity, and helped Intercom scale more efficiently
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How to make the perfect decision
Master decision-making in software architecture with frameworks that drive alignment, reduce risk, and deliver meaningful, context-aware outcomes