Recommendations
Sources I recommend
Podcasts, books, and blogs that shaped how I lead, build, and think about engineering—grouped by topic.
Engineering management
The Manager's Path
The clearest map from IC to manager to senior leadership. Practical, no fluff—exactly what I wish I had when I made the jump.
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An Elegant Puzzle
Systems of engineering organizations: teams, tooling, and strategy. Dense with frameworks you can use Monday morning.
Visit →The Pragmatic Engineer
Engineering culture, leveling, and how big tech actually works. One of the few podcasts that goes deep without the hype.
Visit →Pragmatic Engineer Blog
Deep dives on compensation, leveling, and engineering org design. Data and nuance instead of generic advice.
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Radical Candor
How to care personally and challenge directly. The framework I use for feedback and 1:1s—clear and actionable.
Visit →Lara Hogan
Resilient management, inclusive hiring, and sustainable teams. Short, practical posts you can apply immediately.
Visit →Engineering Leadership
Conversations with eng leaders on scaling teams, communication, and the transition from coding to leading.
Visit →IT leadership
The Staff Engineer's Path
How to have impact as a senior IC: scope, influence, and navigating the organization. Essential for tech leads and staff+.
Visit →Rands in Repose
Long-form essays on leading engineering teams, hiring, and the craft of management. Thoughtful and rereadable.
Visit →Software Engineering Daily
Interviews with practitioners building real systems. Great for staying current on infra, databases, and platform engineering.
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The Phoenix Project
A novel about IT, DevOps, and fixing a broken org. Makes the case for flow, feedback, and continuous learning.
Visit →Charity.wtf
Observability, on-call, and engineering culture from someone who built and scaled infrastructure teams.
Visit →CoRecursive
Deep technical interviews with engineers and creators. Stories behind the systems and the people who build them.
Visit →Development (TypeScript, Node)
Total TypeScript
TypeScript tips, patterns, and advanced types. Makes the type system click without the overwhelm.
Visit →Node.js Best Practices
Curated list of Node.js security, structure, and performance practices. Practical and up to date.
Visit →TypeScript Handbook
The official TS docs. Still the best reference for understanding the language and compiler options.
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Effective TypeScript
62 specific ways to improve your TypeScript. Bite-sized items that level up your types and tooling.
Visit →Kent C. Dodds
Testing, React, and JavaScript practices. Clear tutorials and a testing-focused mindset that scales.
Visit →Node.js Documentation
Official Node docs: APIs, guides, and best practices. The first place to check for runtime and module behavior.
Visit →Ethics in software development
Weapons of Math Destruction
How algorithms can encode bias and harm at scale. Required reading for anyone building systems that affect people.
Visit →Responsible Tech Guide
Resources and frameworks for building technology that considers societal impact and responsibility.
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Technically Wrong
How tech products perpetuate bias and exclude users. Sharp and necessary for anyone designing or building software.
Visit →Design for Real Life
Designing for stress, crisis, and exclusion. Short book that reframes how we think about edge cases and users.
Visit →Ethics in Tech
Curated reading list on ethics, privacy, and accountability in technology. Good starting point for going deeper.
Visit →AI and development
Simon Willison’s Weblog
Practical experiments with LLMs, AI tooling, and how to integrate them into real products. No hype, lots of code.
Visit →AI Engineering
Newsletter and posts on AI-assisted development, prompt engineering, and shipping with LLMs.
Visit →Andrej Karpathy
Deep learning, LLMs, and AI from one of the field’s clearest teachers. Long-form posts that explain the fundamentals.
Visit →Latent Space
Newsletter and podcast on AI eng and tooling. Practical coverage of models, agents, and the dev stack.
Visit →Eugene Yan
ML systems in production, recommendations, and building data products. Applied and readable.
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