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Latest
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Shadow AI is leaving software teams dangerously exposed
Two thirds of organizations report exploits involving vulnerable LLM code.
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How to avoid nasty performance review surprises
How to give feedback consistently so that your reports don’t feel caught off guard by their performance review.
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A new manager’s guide to a 30-60-90-day plan
How senior engineering manager at Google plans for their first days in the role.
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.

Deadline: January 4, 2026
Call for Proposals for London 2026 is open!
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.
More for Engineering managers
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Most companies still aren’t measuring AI coding tools
AI adoption is soaring, but 82% of organizations still aren’t measuring the impact of AI coding tools.
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Managing AI coding assistants without losing control
How to keep your grip when AI coding assistants are in the loop.
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DEI crackdown sparks quiet tech rollback
LeadDev’s Engineering Leadership Report 2025 examines how political shifts and investor pressures are quietly reshaping DEI priorities across the tech industry.
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What leaders can learn from the Millennium Bug
At LDX3 2025, Google staff engineer Amir Safavi revisited the Y2K “Millennium Bug” as a case study in successful engineering coordination.
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The one way to crack technical estimations under pressure
Technical estimations require overview of many different moving parts. Why not solicit the help of your team to move things along?
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Are you paying the AI competence penalty?
Mitigating bias against engineers who use AI coding assistants
Videos for Engineering managers
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Debugging self-doubt: A framework for building confidence
Explore a practical framework for tackling self-doubt with a debugging mindset to build lasting confidence and stronger teams.
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The twin mandate: What leaders still don’t get about observability
Learn why many teams miss observability’s full potential and how leaders can unlock exceptional engineering performance through it.
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The joy of being wrong
Discover how rethinking assumptions drives better decisions, strengthens leadership, and builds more adaptive, collaborative teams.
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Target architecture – Align. Execute. Deliver.
Explore how defining a clear target architecture boosts alignment, speeds up execution, and scales teams through better decision-making.
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Machine learning in production. The hidden effort
Uncover the hidden engineering work behind real-world ML products, from scaling and orchestration to cost control and team alignment.
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Couple’s therapy for product and tech
Learn how to build a strong, lasting partnership between product and tech through alignment, trust, and intentional collaboration.
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Journeys in diversity – what difference really means
Discover what true inclusion means by exploring practical ways to support neurodivergent colleagues and create genuinely diverse teams.
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We brought AI into our sprints, here’s what changed
Explore how integrating AI into product sprints changed team habits, improved delivery, and revealed what works and what breaks in practice.
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Rethinking interviewing in an AI era
Explore how to redesign technical interviews for an AI era by focusing on real-world thinking, communication, and human-centered evaluation.
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Migrations done right: Success stories and lessons learned
Learn proven strategies for executing large-scale system migrations safely, using incremental rollouts, clear planning, and strong stakeholder communication.
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Latency, load, and leadership: Building a team nervous system
Discover how to build feedback systems that detect early stress signals, enabling healthier, more resilient, and productive teams.
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Building AI into critical systems: Lessons learned
Learn how the Financial Times built AI into paywalls and retention systems, navigating trade-offs, risks, and real-world complexity at scale.

