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June 28–29, 2027

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September 15–16, 2026

Berlin

November 9–10, 2026

Search results

Video
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.
Video
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.
Video
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.
Video
Building for reliability
Reliability emerges from systems, teams, and decisions. Learn how to design, operate, and scale it intentionally.
Video
From 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.
Video
Unlocking 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.
Contributor
Ari Sprung
Video
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.
Video
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.
Video
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.