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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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Bugs, outages, and lessons from LDX3 2025
From outages to rebuilding trust, discover the top insights and real-world lessons from LeadDev’s LDX3 2025.
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Vibe coding, hype cycles, and why AI isn’t the 10x answer
How has AI impacted some of the cultural and technical aspects of software engineering?
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AI productivity gains are being offset by organizational bottlenecks
Borrowing from Peter to pay Paul.
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The rise – and looming fall – of acceptance rate
It has become the de facto metric for measuring the effectiveness of AI coding assistants, but is it fit for purpose?
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How to communicate mandates (even if you disagree with them)
You may not agree with a mandate, but that shouldn’t affect the way you communicate it to your team.
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Speed without quality is tomorrow’s crisis arriving faster
At LeadDev LDX3 2025, Christine Pinto, CTO of Epic Test Quest, shares why chasing speed without quality leads to costly failures.
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Has manual testing become obsolete?
AI can improve a lot of processes – but where does testing and QA fit into the new landscape?
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How to hire force multipliers (not 10x engineers)
Long heralded as the “brilliant jerks” of tech, their damage can run deep when it comes to team culture. Hire a force multiplier instead.
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.