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Latest
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5 uncomfortable predictions for engineering leaders in 2026
Home truths, not pie-in-the-sky predictions.
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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.
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.
London • June 2 & 3, 2026
Rands, Nicole Forsgren,
& Matej Pfajfar confirmed
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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AI coding trackers are here. Proceed with caution
Companies are finally starting to track AI usage within their engineering orgs. Should we be worried or remain cautiously optimistic?
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4 ways to manage the lows of leadership
Any well-seasoned leader will know that it’s not always an easy journey. The key is to tackle the low moments with the right approach.
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AI coding assistants aren’t really making devs feel more productive
New research runs counter to the hype around AI coding assistants.
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5 AI agent frameworks for developer teams
If you’re thinking of dipping your toes into the agentic pool, here are some frameworks you could explore.
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Your go-to professional growth model
When you’re an engineering leader, finding the time to upskill is almost impossible. Following the S-curve model might keep you on track.
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Github Copilot can make commits now. But who owns the code?
GitHub’s Copilot has stepped out of the passenger seat – raising questions about accountability and authorship.
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The unions are (finally) coming for big tech
After decades of taking a back seat, the rise of AI, layoffs, and industry-wide burnout has led to a call for more prominent tech unions.
Videos for Engineering managers
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No one needs me (and that’s the point)
Learn how to build autonomous teams that thrive without you, so you can focus on higher-impact leadership work.
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Leading sustainably when everything is on fire
Learn how to lead effectively in chaos by building organizational capital and adapting your mindset for tough times.
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The accidental revolution: How engineering led company-wide AI adoption
Learn how an internal AI tool sparked unexpected company-wide adoption and became a catalyst for cross-functional productivity gains.
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From classroom to commit: How a one-year, industry-co-designed fellowship equips engineers to ship in the AI era
From classroom to commit: How a one-year, industry-co-designed fellowship equips engineers to ship in the AI era.
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In partnership with EppoDeveloping and supporting 12 SDKs with a team of 3
How Eppo by Datadog runs a dozen production SDKs with only a team of three, by treating them as a platform – not twelve separate codebases.
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3 data-backed ideas to deter AI code quality problems
Learn what 250 million+ lines of code reveal about AI’s impact on code quality and how to address it.
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Supply chain: Data infrastructure pipeline
Discover how modern data pipelines transform supply chains, enabling real-time insights, improving data quality, and optimizing logistics through advanced analytics.
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Beyond the code: Leading engineering teams in the GenAI era
Explore how engineering leaders can guide teams through GenAI’s rise by focusing on the critical human work AI can’t replace.
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No One Left Behind: Inside the Largest Domain Migration
A look at the industry’s most complex domain transfer, managed under pressure without losing a single team member.
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All the things I misunderstood about being a leader
Candid insights into the biggest misconceptions about leadership and what truly makes a team exceptional.
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The Pragmatic Engineer live podcast: How AI is changing engineering at Shopify with Farhan Thawar
Listen to a candid chat exploring Shopify’s AI strategy, remote velocity, and a unique approach to career growth.
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Software engineering with GenAI
A look at how AI coding tools are reshaping software engineering, how teams are adapting, and what remains unchanged in the development process.