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How to delete everything: The clean-slate approach to technical strategy
Learn how clean-slate thinking can break technical deadlocks, improve system resilience, and inspire actionable strategies for complex engineering challenges.
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Rethinking growing engineers in the age of AI
Explore how to grow future senior engineers in an AI-driven world that sidelines traditional junior roles.
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Give everyone a challenge – Leadership growth in stable times
Learn how to grow engineering leaders through impact-focused challenges, not headcount, even in low-growth environments.
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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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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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The right way to make AI part of your tech strategy
With everyone scrambling to bake AI into their technical strategy, leaders may be resorting to unreliable and unscalable methods.
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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.
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Is AI code sabotaging its own ROI case?
Charity Majors, CTO at Honeycomb, argues that the biggest value from AI is from rethinking how teams operate.