AI engineering conferences and technical education
AI Engineer
AI Engineer produces technical conferences, workshops and free educational videos for developers, founders and enterprise architects building AI applications. Its event family includes the World’s Fair, Code Summit and regional conferences, complemented by independently organized partner events. Participants can learn about agents, evaluation, retrieval and infrastructure, explore developer tools at expos, and meet other practitioners. Free recordings and a newsletter extend access beyond the events.
Operated by Software 3.0 Inc, the organization was cofounded by Shawn Wang, its CEO, and Benjamin Dunphy, a conference organizer who created Reactathon and built Jamstack Conf. They launched the inaugural Summit in 2023. The organization grew from Wang’s Latent Space essay describing AI engineering as a software discipline built around foundation models. That framing emphasizes turning model capabilities into products, with application-specific data and evaluation as part of the engineer’s job.
AI Engineer reported more than 1.2 million unique YouTube viewers and 10 million views in 2025. As of August 2026, its website listed more than 100,000 newsletter subscribers and 200+ expo and sponsorship partners. These audiences complement an event business whose first World’s Fair attracted more than 3,000 attendees in 2024.
5 talks
Newest first
1 speaker at AIE
Affiliations reflect their AIE appearances, not necessarily current employment.
Start here
- Agents for Everything Else — swyx
Start here for concrete examples of a small conference team using Devin and Claude Cowork for design implementation, content management, and external data synchronization.
Shawn "swyx" WangAI Engineer Europe 2026
- Software Engineering + AI = ?
Use this joint discussion to understand how leadership pressure and skepticism shape AI coding-tool adoption inside large companies.
Gergely Orosz · swyxAI Engineer Europe 2026
- State of the Claw — Peter Steinberger
Read the essay based on Peter Steinberger's talk for the relationship between rapid project growth, maintainer capacity, and sustainable ownership.
Peter Steinberger · swyxAI Engineer Europe 2026
- No More Slop – swyx
AI Engineer curator Shawn "swyx" Wang argues that slop means low-quality, inauthentic, or inaccurate work, whether produced by humans or AI.
Shawn "swyx" WangAI Engineer Code 2025
Messages from the stage
Making routine work accessible to agents
In Agents for Everything Else, Shawn "swyx" Wang argues that APIs, CLIs, and MCP interfaces increasingly matter more than human-oriented dashboards for agent-driven work.
Quality beyond output and token volume
Shawn "swyx" Wang frames slop as a problem of quality, authenticity, and accuracy across human and AI work. The joint conversation with Gergely Orosz examines how token-spend incentives and unreliable productivity metrics complicate evaluation.
Control and responsibility in open agents
The Peter Steinberger session, including an audience discussion moderated by swyx, connects open-agent adoption with maintenance, security, and data ownership. The essay based on Peter Steinberger's talk explains how private-data access, untrusted content, and external communication can combine into risk.
Affiliations reflect each recorded session, not necessarily current employment. Software Engineering + AI = ? and State of the Claw — Peter Steinberger are shared sessions with speakers from other organizations.