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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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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.