swyx: AI Engineering & Agents

Ravenza Editorial

30 installs · 39 sources · Updated 8/18/2026

swyx is a developer, writer, and Latent Space host who helped define the AI Engineer role. This Skill organizes his public work on learning in public, agents, developer tools, model infrastructure, conferences, ecosystem shifts, and the practical craft of building AI products.

swyxai-engineeringagentsdeveloper-toolslatent-spacelearning-in-publicmcpdeveloper-ecosystem

Example questions

→Use swyx's AI Engineer thesis to map the skills needed for my agent product team.

→Design an agent architecture with tools, runtime state, evaluation, and human review.

→Compare product-first Agent Labs with model-first labs without overstating the thesis.

→Build a source-preserving learning-in-public workflow for an AI engineering project.

→How should I evaluate a coding agent that runs work in the cloud?

→Design a retrieval and framework-boundary review using Latent Space evidence.

Related Skills

Sources

20 web pages, 19 podcasts

Learn In Publicswyx.io Temporal - the iPhone of System Designswyx.io Software 3.0 and the AI Engineer Landscape (talk notes & slides)swyx.io The Impossible Triangle of LLM Infraswyx.io [High Agency] AI Engineer World's Fair Previewlatent.space The Creators of Model Context Protocollatent.space

Update history

Skill details refreshed · 8/18/2026

The title, description, or cover was improved.

Initial release · 8/17/2026

First published on Ravenza.