AI Engineer
Talks, workshops, events, and training for AI Engineers.
Channel created: September 19, 2023
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Making Codebases Agent Ready – Eno Reyes, Factory AI
Agents are eating software engineering. Yet teams deploying these tools face mixed results. Agents work great in demos but fail unreliably in production, frustrating engineering teams who expected ...
Amp Code: Next Generation AI Coding – Beyang Liu
Introduction to Amp Code and its approach to AI-powered software development. Speaker: Beyang Liu | Co-founder & CTO, Amp Code / Sourcegraph https://x.com/beyang https://www.linkedin.com/in/beya...
Autonomy Is All You Need – Michele Catasta, Replit
AI agents exhibit vastly different degrees of autonomy. Yet, the ability to accomplish objectives without supervision is the critical north star for agent progress, especially in software creation....
The War on Slop – swyx
Why we need to eliminate low-quality code and work in AI engineering. Speaker: swyx | Organizer, AI Engineer https://x.com/swyx https://www.linkedin.com/in/shawnswyxwang/ https://www.swyx.io/
The Infinite Software Crisis – Jake Nations, Netflix
In 1968, the term ""Software Crisis"" emerged when systems grew beyond what developers could manage. Every generation since has ""solved"" it with more powerful tools, only to create even bigger pr...
From Arc to Dia: Lessons learned building AI Browsers – Samir Mody, The Browser Company of New York
What happens when you take a polished, beloved browser and rebuild it from the ground up around AI? In 2024, The Browser Company did exactly that: transforming Arc, a human-designed browser, into D...
Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)
To realize meaningful returns on AI investments, leadership must take accountability and ownership of establishing best practices, enabling engineers, measuring impact, and ensuring proper guardrai...
Paying Engineers like Salespeople – Arman Hezarkhani, Tenex
Most software teams still run on an outdated unit of measure: hours, days, years. That single choice misaligns every incentive—clients want fewer, engineers want more, and everyone loses speed. A...
AI Leadership - Alex Lieberman, Tenex
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Dispatch from the Future: building an AI-native Company – Dan Shipper, Every, AI & I
The central thesis is that there is a "10x difference" between an organization where 90% of engineers use AI versus one where 100% do. At 100% adoption, the fundamental physics of software engineer...