Agentic AI Engineering: Frontend
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Module One — Agent Interaction Patterns in the Browser
Chat Is Not the Only Agent Interface
Preview
Mapping the Agent Loop to User Intent
Latency Budgets for Agentic Frontends
3 lessons
Module Two — Streaming and Token-Level Rendering
Server-Sent Events Versus WebSockets for Agent Output
Rendering Partial Markdown and Code Safely
Backpressure and Cancellation in the Client
3 lessons
Module Three — Visualising Tool Calls and Plans
Showing Tool Invocations Without Exposing Internals
Rendering Multi-Step Plans and Subagents
Citations and Provenance in Agent Answers
3 lessons
Module Four — Approval and Interruption Flows
Designing Human-in-the-Loop Checkpoints
Interrupting and Redirecting a Running Agent
Error States and Recovery in Agent UIs
3 lessons
Module Five — Client State and Memory
Modelling Agent Sessions in Frontend State
Persisting Conversations and Resuming Work
Client-Side Context and Memory Controls
3 lessons
Module Six — Evaluating and Shipping Agent Interfaces
Testing Agent UIs with Recorded Trajectories
Measuring Agent Interface Quality in Production
Accessibility and Safety Review Before Launch
3 lessons
Module Five — Client State and Memory
Modelling Agent Sessions in Frontend State
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