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Latest
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AI-generated abandonware is hollowing out open source
When everyone can build, the scarce resource becomes maintainers.
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Demand for engineering managers is surging in the agentic coding era
Just not necessarily to be managers…
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Think the technical interview is dead? Think again
The technical interview is evolving as AI-assisted coding becomes the norm.
Editor’s picks
What is an engineering manager? Taking the step up
This fulfilling role takes you a step beyond a lead engineer. Find out how to best showcase your skills to land it.
New York • September 15 & 16, 2026
Delivering AI results without a playbook?
Find what’s working at LDX3
Essential reading
On our Engineering Manager playlist
The Manager’s Path: Camille Fournier in conversation
A guide for tech leaders navigating growth and change.
Things I got wrong when preparing for my first Engineering Manager role
Ferit Topcu shares his own experiences in this transition, the errors I made, and how I overcame them.
What we talk about when we talk about leadership
Exploring key leadership themes from years in tech, this talk offers guidance and practical strategies to help engineers become the leaders they want to be.
On-call revolution: Building a culture of ownership and collaboration
Discover how innovative on-call rotations empower developers, foster team collaboration, and reduce complexity, creating a cohesive, ownership-driven culture that enhances service quality.
Managing authentically across levels
Learn how to manage engineers at all levels with practical tips for adapting your style to support growth and foster a thriving, high-performing engineering team.
The festival for modern engineering leadership
New York • September 15 & 16, 2026
More for Engineering managers
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The performative trap of public recognition
Ensuring your team members receive proper acknowledgement for their work extends beyond shallow praise.
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AI-assisted coding and unsanctioned tools headline 2026’s biggest security risks
Predicting the biggest security threats in 2026.
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How engineering leaders can better leverage AI in 2026
Supercharge your leadership next year with these AI-powered workflows.
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Clean up org debt with systems thinking
Applying engineering fundamentals to team management can get you a lot further than you think.
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Deliver meaningful feedback in the age of AI
What happens when we delegate one of the most human parts of the job to AI?
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How big tech fell out of love with remote work
The biggest tech firms are all firmly on one side of the RTO debate.
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Meta lifts the lid on its WhatsCode AI agent
The agent was able to increase privacy coverage 3.5x over 25 months.
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Are smart machines making us dumber?
Without a well-thought AI adoption strategy, you could be leading your team into an automation paradox trap.
Videos for Engineering managers
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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.