Building Async Agent Pipelines: Chaining Asynchronous Steps with Dependencies
Design and implement async agent pipelines that chain dependent steps, resolve execution order automatically, and handle backpressure in production AI systems.
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From the blog
Design and implement async agent pipelines that chain dependent steps, resolve execution order automatically, and handle backpressure in production AI systems.
Design and implement an async worker pool for processing concurrent AI agent sessions. Learn health monitoring, dynamic scaling, graceful drain, and production deployment patterns.
Build an AI agent that takes error messages, traces through code to find root causes, generates fixes, and verifies them with regression tests. A practical guide to automated debugging.
Walk through building a complete calculator tool for an AI agent from scratch. Covers schema definition, safe expression evaluation, result handling, and integration with the agent loop.
Build an AI-powered calendar management agent that checks availability across time zones, resolves scheduling conflicts, and handles rescheduling workflows using the Google Calendar API.
Learn how to build an AI agent for car dealerships that searches vehicle inventory, schedules test drives, and generates finance quotes using tool-calling patterns and structured vehicle databases.
Learn how to build an AI agent that designs chaos experiments, controls blast radius, injects faults into production systems, observes behavior, and verifies automated recovery.
Learn how to build a production-quality chat interface for AI agents using React and TypeScript. Covers message bubble components, input handling, and smooth auto-scroll behavior.
Learn how to build a production-quality chat widget with a React frontend component, WebSocket backend in Python, message formatting, typing indicators, and persistent message history.
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