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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.