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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.
Berlin • November 9 & 10, 2026
AI. Burnout. Big decisions.
The pressure is real. Berlin is where you work through it.
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
London • June 2 & 3, 2026
More for Engineering managers
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5 questions to ask when buying a feature management tool
Helping you assess the best tools in the market.
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5 signs you’re ready for feature management and experimentation
Are you ready to take the next step?
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In partnership with Swarmia
Introducing engineering metrics to your organization
Picking the right software developer metrics isn’t as easy as it sounds.
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How to give feedback without killing morale
Instilling a culture of free-flowing feedback between team members is difficult but not impossible.
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Engineering leadership is not just about code
If you’re looking to move into an engineering leadership position, you’ll have to do more than brush up on code!
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Become a stronger leader for your cross-cultural team
Having members of your team based all around the world requires you to have a flexible mindset and communication style.
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Are DORA metrics right for your team?
DORA metrics can be a useful tool for tracking and improving performance. If you want the DORA 101 – look no further.
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Maintain team performance during unexpected change
You’ll have to experience change management at least once in your career. Make sure your teams can maintain performance through it all.
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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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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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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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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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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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.
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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.