Latest videos
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In partnership with HarnessWhat breaks when AI opens pull requests
GitOps was built for humans, not agents.
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The first rung: Where the next generation of engineers will come from
A look at how apprenticeship can help engineering leaders develop the next generation of technical talent for an AI-enabled world.
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Beyond CI/CD: How platform abstractions unlocked developer productivity at scale
In this talk, I will share how our platform engineering team made a deliberate investment to simplify service-to-service connectivity by introducing uniform platform abstractions and out-of-the-box discovery.
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Evaluating AI developer tools without the drama
This talk explores how to turn a divided technical evaluation into a decision everyone can trust. Through a real-world AI code review tool rollout, you’ll learn a practical framework for setting shared criteria, rebuilding developer confidence, and making technical decisions with genuine stakeholder buy-in.
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The accountability gap: Engineering governance for autonomous AI
This session walks through an engineering framework for accountable autonomy: a three-tier trust model that categorizes decisions by blast radius (impact and reversibility), an autonomy budget that meters agent trust with SLOs and revokes it automatically when behavior degrades, and circuit breakers that freeze an agent before a bad pattern becomes an incident.
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One shot at scale: Surviving the Super Bowl signup surge
This talk goes behind the scenes of how Fetch prepared for a massive Super Bowl traffic spike, scaling from around 1 signup per second to a target of 150,000. It explores the engineering decisions, architectural trade-offs, stress testing, and launch-day processes that helped the team manage risk when there was only one chance to get it right.
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The real impact of AI on software engineering
This session presents the key findings from LeadDev’s AI Impact Report 2026 – and the numbers tell a more complicated story than the productivity anecdotes suggest.
Highlights from our conferences
Measure for Change
Picking metrics is one thing. But the harder decisions lie in what to do with them afterward.
View all videos from LeadDev London
Drive product gaps as an engineering leader
Discover practical strategies for engineering leaders to influence product development effectively, even in the absence of strong product management and a clear company vision.
view all videos from LeadDev NEW YORK
Growth in a downturn
In this talk, Smruti Patel asks, if hyper-growth is marked by spending more to make more, what does building for enduring growth look like?
view all videos from LeadDev berlin
Idea to Innovation
Join me as we embark on a journey to dissect the anatomy of innovation, uncover strategies to unlock the full potential of ideas, and transform them into impactful realities. Let’s build a strong culture of innovation, and make sure that it is not just a buzzword but a tangible outcome.
view all videos from staffplus london
Slack enterprise key management: Senior to staff lessons
Explore the key lessons and skills Audrei gained during their first Staff+ project, Slack Enterprise Key Management. This talk offers insights for anyone growing in their Staff+ career.
view all videos from staffplus NEW YORK
All videos
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In partnership with QodoCode quality in the age of AI
A governance framework for engineering leaders.
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In partnership with Cortex® XCOR™ by Palo Alto NetworksDo 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 HarnessHow to build the guardrails your AI releases actually need
Too many organizations are relying on existing guardrails when it comes to AI-generated code.
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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.
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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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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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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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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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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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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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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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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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Building for reliability
Reliability emerges from systems, teams, and decisions. Learn how to design, operate, and scale it intentionally.
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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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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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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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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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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.
