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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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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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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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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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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 VercelAgentic triage for tackling technical debt
A practical look at using agents to separate urgent system issues from backlog noise, without removing human judgment.