Latest videos
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In partnership with LaunchDarklyControlling your AI software factory
How do you stay in control of systems that never stop evolving?
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In partnership with ChainguardClose the maintenance gap AI created
Teams are seeing more code rewritten or reverted soon after it ships.
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AI-native development: How to actually get the most out of your agents
This talk covers spec-driven development as a way to give agents better constraints, large language model (LLM) gateway and routing strategies for managing which model handles which task, test-driven development adapted for an agent-first workflow, and verification practices built for the volume and pace of AI-generated code.
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Building trustworthy agents at scale
This talk explores that journey: how we built testing pipelines for non-deterministic systems, defined “ethical success criteria,” and aligned engineers, product managers, and legal teams around shared principles for responsible AI.
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How to kill the code review
This talk explores why traditional code review is struggling to keep up with AI-driven development. It introduces a five-layer trust model designed to help engineering teams validate AI-generated code, reduce reliance on manual review, and ship faster without sacrificing quality or control.
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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.
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 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 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.
