Developer Tea

The Bottleneck Is Moving: Borrowing from traditional manufacturing theory, the coding step used to define your team's total throughput. AI tooling hasn't incrementally improved that bottleneck — it has drastically shrunk it, which means the constraint is now upstream in product decisions, specifications, and prioritization. Engineers who recognize this shift early will redirect their energy accordingly. Sharing Your Opinion Is Not a Free Action: Every time you weigh in on a decision, you're making a transaction. You're asking others to consider your input, and in return, they will update their beliefs about your judgment based on whether you turn out to be right. This means your credibility is a finite resource that appreciates or depreciates over time. Trap #1 — Arguing About Things You Don't Care About: Engineers often feel an intellectual itch to engage when they hear an argument they disagree with, even when the outcome doesn't matter to them. If the only utility of sharing your opinion is your own se

The Power of Physical Checklists: Inspired by aviation, Atul Gawande's The Checklist Manifesto, and Daniel Kahneman's Noise, I've been experimenting with printed, physical checklists for repetitive tasks — from producing this show to running one-on-ones. The rigor of writing precise procedures carries over into clearer communication with both humans and AI agents. Small Interventions, Big Returns: A Brother P-Touch label maker. Reorganizing scattered hobby gear. 3D printing organizational tools with a new Bambu Labs P1S. None of these are revolutionary on their own, but the compounding effect of better organization — essentially building a fast index for your physical life — pays back over and over. Context Shapes Focus: Switching from a home gym to working out at Planet Fitness with my brother-in-law was one of the best focus interventions I've made. The change in environment eliminated the procrastination and context-blending that came from being steps away from my computer. If you're struggling with a

If you're a software engineer right now, you likely feel like your world is changing overnight. We are writing half or less the amount of code that we wrote even a year ago, which represents a seismic, groundbreaking shift in our industry. However, the rapid introduction of new tools can slide quickly from exciting to purely chaotic, leaving you feeling like you are falling behind. In today's episode, I explore how this changes the nature of our day-to-day work, and why the key to surviving this transition is shifting your mindset from a traditional "Software Engineer" to an "Agent Manager". The Illusion of Velocity vs. Actual Chaos: While the big-picture promise of AI is that the software development pipeline will move exponentially faster, the reality on the ground often feels like unadulterated chaos. Trying to adopt every new tool while spinning up multiple agents to work on parallel tickets introduces a massive new cognitive burden. The Context-Switching Trap: Understand why parallelizing agent workfl

AI is bringing massive changes to our industry, but it's not just about how fast you can write code or use agentic flows. In this episode, I explore how AI is fundamentally shifting the economic bottleneck of software development, and how you can use your systems-thinking engineering mindset to adapt and thrive in this new era.

Today, we are tackling the natural tension between the desire to make more money—getting a raise, finding financial stability—and the desire to have meaningful, purpose-driven work. We are diving into a fantastic listener question from Abdul, a front-end engineer with 10 years of experience who has hit a salary ceiling. He is trying to figure out how to pivot into higher-paying domains like backend or AI without making a risky leap that forces him to start over at the bottom rung.

I've been delaying this episode for a long time because the topic is genuinely difficult and, for many of us, scary. AI is threatening not just to our livelihood, but to our sense of self-worth as creators.In this episode, I don't offer false guarantees about job security. Instead, I frame the problem through the lens of microeconomics and rational incentives to help you understand how to remain employable. We discuss why you must separate your ego from your current skill set and how to position yourself not as a competitor to AI, but as a force multiplier.• The Hard Truth: I explain why the "abstinence" approach—hoping the industry rejects AI or that it turns out to be a bubble—is a high-risk gamble that is unlikely to succeed.• Ego vs. Employability: We discuss the difficult mental shift required to disconnect your self-worth from the act of writing code manually, allowing you to adopt new tools without feeling like you are losing your identity.• The Microeconomics of Your Job: Understand the cold reality t

Do you remember the early days of your career? You likely spent hours coding late into the night, fueled not by a paycheck, but by the sheer joy of building. But somewhere along the way, that intrinsic fire faded, replaced by the extrinsic motivators of Jira tickets, performance reviews, and ultimately the almighty dollar.In this episode of the Career Growth Accelerator, I explore why this shift happens and how it might be the very thing keeping you stuck. We discuss the "Overjustification Effect"—how getting paid for your passion can actually degrade your performance—and how to reclaim the autotelic personality required to enter a flow state and accelerate your career.• The Overjustification Effect: Learn why introducing extrinsic rewards (like a salary) for a task you inherently enjoy can weaken or completely replace your intrinsic motivation, eventually making the work feel like a chore.• The Loss of Flow: Discover how moving from hobbyist to professional changes your relationship with the work, often stri

It is review season, and you might be finding yourself confused: you received high ratings and "exceeded expectations," yet the promotion you expected didn't happen. In this episode of the Career Growth Accelerator, I break down exactly why high performance doesn't always lead to promotion, helping you identify the structural roadblocks and strategic shifts necessary to move from senior individual contributor to staff, principal, or leadership roles,.• Understand why your performance review is never conducted in a vacuum and why your manager’s peers—not just your manager—are the "voters" you need to convince with clear evidence,.• Learn why high ratings often fail to translate into a promotion if you haven't demonstrated specific impact on the company's strategic goals rather than just your own deliverables.• Discover the first major roadblock: Structural limitations where the role you want simply doesn't exist because the business context or organizational pyramid doesn't currently support it,.• Explore the

In this episode, we explore how to de-risk your career roadmap by identifying the hidden vulnerabilities that hold your decision-making hostage.

This episode marks the 11th anniversary of the show, and I want to celebrate by continuing our Career Growth Accelerator series. Today, we’re moving beyond the "autopilot" mode that many engineers find themselves in and learning how to define goals that are uniquely yours so you can find the specific challenges that will actually move the needle.

This episode kicks off the Career Growth Accelerator series, focused on the specific hurdles faced by mid-to-senior level engineers, managers, and leaders who are looking to move to the next level. Before diving into specific strategies, I’m addressing the fundamental prerequisite for real growth: getting out of your own way. We often block our own progress because our ego conflates our self-worth with our career position, making it impossible to see the real problems or lessons we need to learn. In this episode, I share a vital mental exercise to help you disconnect your identity from your job title and begin diagnosing your career challenges honestly.Understand why protecting your ego is one of the most dangerous ways to control your career, leading you to discount valid reasons for stagnation or failure by focusing only on external factors.Discover the fundamental shift needed: disconnecting your self-worth from your career aspirations. Your position is merely a fact and has little bearing on your innate v

Are you a mid-to-senior level engineer or leader who has hit a career roadblock or found yourself stagnated? I'm launching the new Career Growth Accelerator series, focused on the difficult, non-obvious hurdles that prevent you from moving to the next level.In this foundational Episode Zero, I cover the critical prerequisite for growth: Getting Out of Your Own Way. Our ego often protects our self-worth by blaming external factors for failures, making honest diagnosis impossible,.• Learn why protecting your ego is the most dangerous way to control your career.• Discover the fundamental shift: disconnecting your self-worth from your career aspirations to gain clarity.• I introduce a distancing thought experiment to help you diagnose the real problems blocking your path.• Start focusing on the diagnostic aspect—What happened and why?—to build real momentum.Subscribe now so you don't miss out on this series!

When you hit a career roadblock, the methods that worked for you before often stop working. Today, I’m diving into why that happens, and why the first and most critical step in progressing past stagnation isn't doubling down on skills, but clearly defining the problem standing in your way.Problem Definition As A Path for Career GrowthMy goal on the show is to help driven developers like you find clarity, perspective, and purpose in their careers. This episode is for everyone trying to grow, especially if you have hit some kind of roadblock. Most career progression, especially early on, happens somewhat automatically through natural experience, domain expertise, and skill accumulation,. However, as you progress, you will hit missing rungs or roadblocks—things preventing you from progressing in promotions, positions, or specific projects.When blocked, most people rely on the same things they did before, such as gaining experience, reading blogs, or building side projects, using a "scattershot approach" to try a

We often look for ways to reduce the load on our brains, seeking shortcuts and optimizations to get ahead. Sometimes this works, reinforcing the belief that we can hack our way around every problem. However, this episode addresses the truth that many fundamental aspects of your career require something difficult, messy, slow, or inefficient, demanding deep thought and repeated failure.This episode details the difficult truths about facing the most essential challenges in your career:Understand the Hard Path: Recognize that many aspects of your career, skill set, relationships, and hobbies require something difficult, messy, slow, or inefficient, demanding deep thought and repeated failure.Identify Your Primary Obstacles: Pinpoint the hard things you are procrastinating on, such as developing essential domain knowledge, deepening relationships with crucial co-workers or your manager, or getting the necessary "reps" of difficult building and practice.The Path to Mastery: Realize that becoming a great engineer (

If you're looking to accelerate your career growth, this episode gives you what may feel like hard truths about the path forward. So many engineers fall into traps of overthinking, chasing minor optimizations (like 5% or 10% productivity boosts), or playing the games of politics and networking. While these sideline activities aren't necessarily useless, I want to help you focus on the "big engines" and "primary considerations"—the things that will make the monumental difference in your career building strategy.• I explain why arguments based on nuance—such as trying to convince your manager that your work is valuable despite low throughput, or doing "glue work"—are often based on flawed strategies that cause your career to suffer and not grow easily.• I use an allegory (discussing the primary path of treatment for low testosterone) to illustrate that many engineers are trying to fix a fundamental, mainline career problem with a sideline, nuanced solution, instead of focusing on the gold standard primary path.

If you're an engineer looking to move into a senior role, you have likely heard that you need to demonstrate "ownership". Unfortunately, this crucial term is often poorly defined and leads to a major misconception: that ownership means being assigned a full project or a Tech Lead role. I want to dispel that myth and explain why ownership is actually a necessary behavior and mindset shift, applicable in almost every action you take, regardless of whether you’re leading a project.Understand why ownership is a critical aspect of moving along your career track, especially for engineers moving from the associate or mid-level engineer role up to senior.Uncover the misconception that ownership requires a specific scope of responsibility, such as owning a project or a deliverable.Discover the crucial phrase that defines the ownership mindset: "What now?" or "What next?" which should guide you through every situation you encounter.Learn why true ownership is not about inherently knowing every technical detail or execu

Hey everyone, welcome to today's episode of Developer Tea. This is the second part of my interview with Bryan McCann, the CTO at you.com. If you haven't listened to Part One, I'd encourage you to go back, as it provides crucial context for our continued discussion. In this episode, we dive into how you can think about relating to and integrating the massive changes that AI is bringing to your job, whether you are a software engineer, manager, director, or product professional. Bryan and I discuss his interests beyond research, including art and organizational design.Explore the two primary paths for developers in the long run: specializing as managers of AI tools (like a product manager with engineering insight) or striving to be better than AI at building better versions of AI itself (the "neurosurgeon" type).Understand why refining your intuitions about what should be built becomes increasingly crucial as automation makes execution easier.Examine how conceptual biases often become the bottleneck when intera

Hey everyone and welcome to today's episode of Developer Tea. It's been quite a while since I've had a guest on the show. Today, I'm joined by Bryan McCann, CTO at you.com. We dive into a wide-ranging discussion, exploring the philosophical origins of his career—from studying meaning and language to working in very early AI research. This discussion is less advice-heavy and more focused on kind of theory and discussion. I hope this is insightful for you and helpful as you crystallize your own philosophies on these subjects.Explore the philosophical journey that led Bryan McCann from being a philosophy major interested in meaning to pioneering early AI research. Bryan views his current work as an extension of those original philosophical questions.Discover how Bryan shifted from hitting a dead end in "armchair philosophy" to using computational tools to study language and try to make machines that could create meaning.Understand why Bryan believes that meaning, in the sense he originally sought it, is an innat