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Latest
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Interview tactics to find your footing in a chaotic job market
Navigating the current job market can feel daunting, but certain principles and internal guides can improve the process for you.
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The unseen fixes that boost engineering performance
At the intersection of toil and operational risk lies “perilwork.”
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What US engineering managers can expect to earn in 2026
Are there signs of life in the hiring market?
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Why I expect candidates to use AI in the hiring process
If you’re joining a team where AI use is commonplace, expect the interview process to test those skills.
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Crafting the perfect LeadDev talk submission
Crafting the best version of your talk proposal for the LeadDev stage with the help of ChatGPT.
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.
October 15-17, 2025
New York is almost here. Book your spot today.
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.
Agendas for New York events are live!
Lineup includes Addy Osmani, Kevin Goldsmith, Robin Bonatesta, and more…
New York • October 15 & 16, 2025
More for Engineering managers
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AI coding mandates are driving developers to the brink
Under pressure to embrace AI, developers are growing frustrated by misguided mandates and are left to clean up any collateral damage inflicted on their codebase.
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The delegation formula that turns managers into leaders
Help your team thrive by assigning them tasks and avoiding micromanagement.
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The importance of supervising your AI coding agents
And 3 other themes from the latest Thoughtworks’ Technology Radar.
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The AI engineering curriculum
A reading list to help understand the latest paradigm shift in software engineering, as generative AI-powered coding tools enter the workforce.
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From engineer to manager, told from both sides
Every leap from IC to EM is shaped by mentorship, missteps, and moments of clarity. Here’s a rare look at both sides of that journey.
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Revenge of the boring jobs
New research sheds light on which industries foster better job satisfaction for developers.
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How engineering managers can use GenAI
7 ways engineering managers can use generative AI to help with non-coding tasks, from project planning to writing emails.
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95% AI-written code? Unpacking the Y Combinator CEO’s developer jobs bombshell
Garry Tan says YC startups are launching with 95% AI-written code. What does this mean for the shape and size of engineering teams?
Videos for Engineering managers
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The million dollar bug: Quality leadership lessons from costly failures
CrowdStrike lost $5.4B, Sonos stumbled into a $500M crisis – and they’re not alone. Learn battle-tested leadership strategies to protect your organization from quality catastrophes that can shake your business to its core.
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Optimization of mobile development strategy for maximum business impact
Learn how to optimize mobile strategy—tech choices, team structure, and processes—for faster delivery, scalability, and measurable business results
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Theory to action: Architecting and implementing your team operating system
Learn the theory behind the operating systems of high-performing engineering teams. Leave with a practical idea of how to design a flexible team operating system with rhythms, tools, and feedback loops for your team.
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Tracking repository health at scale
Discover how data-driven repository health tracking improves visibility, drives behavior change, and aligns engineering efforts with long-term business goals.
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Effortless execution: Designing processes that don’t need babysitting
Discover five characteristics of team processes that can save your sanity, improve your relationships, and let your team take pride in being a well-oiled machine.
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Monolith-ifying perfectly good microservices
Learn why consolidating microservices into a Rails monolith boosted performance, reduced complexity, and helped Intercom scale more efficiently
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In partnership with VercelHow to maintain a codebase – when everyone can code
Learn how to maintain platform performance with machine-first observability, enabling AI agents to monitor and repair production systems.
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Organizational evolution: From products to user needs
A practical guide to evolving an engineering organization from functional to product-based to user-centric – rooted in real experiences at Flo Health.
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One does not simply… rebuild a product
Get hard-won insights from Culture Amp’s bold rebuild—reviving legacy systems while elevating engineering standards and enabling future growth
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I’m 83% confident this’ll be useful
Utilizing research by professional poker player Annie Duke, we’ll explore how to better understand the ambiguity that exists in estimations engineers provide. Doing so will allow your teams to better deliver, with more accurate estimates.
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A quick tour of delivery management (and why it matters)
What senior leaders mean by “delivery management,” why it matters, and how to improve it with practical tools and techniques.
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From autocomplete to agents: AI coding assistance state of play
Everybody wants high reliability, but the path isn’t exactly clear. This talk is for people who need to know what works and what doesn’t.