Topic Hub
For engineers and leaders thinking about long-term growth, hiring, and the shape of the craft.
Hiring, seniority, technical judgment, and what long-term growth looks like in engineering.
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Learn the basics of career frameworks for tech teams, from startups to scaling companies. Discover how to create clear growth paths and adapt frameworks as your organization evolves.
Read guide →Explore strategies to enhance your software engineering career, focusing not just on technical skills but also on recognition, personal branding, and visibility.
These myths work against a good interview experience and the candidates’ chances to get hired, so I’d like to call them out and refute them.
Verification debt is accumulating quietly in AI-assisted codebases. What engineering leaders need to watch for.
Burnout has a different shape at every rung of the engineering ladder, and promotion doesn't cure it: it just trades one variant for another.
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AI is cutting junior hiring. But the engineers that won't exist in 10 years are being decided right now. Here's what I think actually happens next.
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AI doesn't care about quality. It accelerates whatever direction your team was already heading. Here's what engineering leaders need to change.
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Verification debt is accumulating quietly in AI-assisted codebases. What engineering leaders need to watch for.
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There is no standard Engineering Manager role. The job is defined by your team's biggest bottleneck - and it shifts constantly. Here's what that actually looks like.
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AI agents generate 98% more PRs but reviews take 91% longer. The work didn't disappear — it moved. A synthesis of eight perspectives on where it actually went.
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Learn the science behind developer flow states and implement practical strategies to increase your engineering team's focus, productivity, and satisfaction.
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An overview of the recurring laws and constraints that shape software engineering, from teams and estimation to architecture, testing, and performance.
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The software engineering laws that govern code quality, complexity, and the tradeoffs of day-to-day development.
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The UX and design laws that explain how people actually use software and why intuitive products follow recognizable patterns.
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The human-side laws of software work: motivation, cognition, communication, and the habits that shape team behavior.
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The laws that explain why metrics get gamed, what monitoring is actually for, and how to measure without self-deception.
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