Episode notes
What if building complex AI agents felt as natural as composing React components—and they could even rewrite their own code? 🤯
In this episode of One Shot / AI Tinkerers, host Joe sits down with Evan Boyle, founder of GenSX, to explore a radically new way to design, run, and ship long-running agent workflows:
🔑 Key takeaways
- React-inspired component model for agents – why JSX-style, type-safe functions beat static graphs for scalability and code reuse.
- Traces, telemetry & evals baked-in – see every prompt, variable, and LLM call in real time.
- $4 self-modifying coding agent – Evan demos an agent that checks out its own repo, refactors 3 K lines, runs tests, and pushes to GitHub… iteratively.
- Real-world production use cases – from million-document legal discovery to inbox-wide e ...
Keywords
ai agentsAI InfrastructureAI Workflow AutomationAI developmentSelf-modifying codeReact componentsSoftware scalabilityGenSXDeveloper toolsMachine learning frameworks