In June 2023, Shawn Wang - who goes by "swyx" online, pronounced swicks - published a single essay. The title was "The Rise of the AI Engineer." At the time, the job did not officially exist. Within weeks, Andrej Karpathy tweeted his endorsement. Within months, it was on résumés, LinkedIn profiles, and job postings from San Francisco to Singapore. Within a year, swyx had built a conference around it that sold out with a 10:1 applicant ratio and landed Jensen Huang as a surprise guest. Twice.

That is not a stroke of luck. That is what six years of radical public learning looks like when it compounds.

Before any of that, Wang was sitting at a quant hedge fund in Singapore managing roughly $1 billion in gross allocation, earning $350,000 a year, writing Python scripts on the side because spreadsheets felt like wasted intelligence. He burned out when his boss left in 2016. Not in a melodramatic way - more like a slow deflation. He noticed something at a subsequent startup: of 60 engineers, only two were genuinely productive. He wanted to be one of those two. He had never formally written a line of production code in his life.

So he did freeCodeCamp for six months. Then spent $70,000 on Full Stack Academy in New York. Then got his first developer job - back at a quant fund - paying $200,000 a year. The pivot cost him $150,000 in lost salary and $70,000 in tuition. He recovered it in the first year.

What he built during that transition - a philosophy, really - is what the world now calls "Learn in Public." The idea is simple: instead of studying privately and only presenting finished results, you document everything as you go. You write the tutorial you wish had existed. You post the wrong answer, get corrected, and thank the person who corrected you. You create "learning exhaust" that search engines and strangers can find. It sounds modest. The compounding is not.

Dan Abramov, creator of Redux and React core team member, became swyx's informal mentor through this process. Not because Wang emailed him or attended a conference - but because Abramov kept finding his public writing and kept finding it useful. That is the mechanism in action. The teacher finds the student because the student is impossible to miss.

Wang wrote "Learn in Public" originally as a commencement speech for his bootcamp graduation. It has since been read by millions of developers and remains the foundational text of an entire school of thought about career development in tech. He turned it into a 450-page book - The Coding Career Handbook - which pre-sold $4,000 before completion and made $25,000 at launch.

Between Netlify (2018-2020), AWS (2020-2021), Temporal.io (2022), and Airbyte (2022-2023), swyx spent five years becoming the most articulate explainer of developer tools in the industry. He was not just doing developer relations - he was building the vocabulary. He coined "Third Age of JavaScript." He wrote "The Self-Provisioning Runtime." He grew Svelte Society from zero to 15,000 members while being primarily known as a React person. He moderated r/reactjs for 200,000 developers. He accumulated 152,000+ Twitter followers not through virality but through the quiet accumulation of being right, early, and generous with attribution.

In 2022, he and Alessio Fanelli started Latent Space - a newsletter and podcast about AI engineering. The timing felt like a coincidence. It was not. Wang had been watching language models since 2019. He had been doing the reading, running the experiments, writing the threads. By the time the AI wave reached public consciousness in late 2022, he had 18 months of primary research and a clearer map of the territory than most people writing about it. Latent Space is now a top-10 US tech podcast on Apple, with over 10 million total listeners. Andrej Karpathy listens to it. Chris Lattner listens to it. George Hotz listens to it.

The conference came next. AI Engineer, co-founded with Ben Dunphy (who previously ran Reactathon and JAMstack Conf), held its first summit in October 2023. It sold out. The AI Engineer World's Fair in June 2024 drew 3,000 people to San Francisco across 18 tracks and 150+ sessions. Jensen Huang appeared as a surprise guest. Then he appeared again. The community now reaches 400,000 subscribers worldwide.

In 2023, swyx also built smol-developer - one of the earliest viral open-source AI coding agents on GitHub. It caught a wave. It also caught a lesson: he had the thesis early, flinched on the execution, and watched others build the thing he had already sketched. He called it a "failure of belief." He is not making that mistake twice. When Smol AI merged into Cognition - the company behind Devin, the AI coding agent that grew from $1M to $73M ARR in under a year - he went with it.

In April 2026, swyx turned 40. He published a reflection called "What you can do in a decade." The man who memorized every relevant paper, grew every relevant community, and named the job that was quietly becoming the most important in tech is now, quite deliberately, building the infrastructure for what comes next.

The hedge fund world he left operates on asymmetric information - knowing something true before others do, then positioning accordingly. He brought that instinct into public. He just chose to share the alpha.