Up your game with async agents w/ Jessie Frazelle

In this episode, we talk with Jessie Frazelle (Zoo, Oxide, ACM Queue) about what it takes to get real value out of async AI agents in your dev workflow. We covered: - Why most AI code review agents add noise—or worse, false confidence - The distinction between agents that summarize vs. agents that spot real bugs - How async agents shift from "helpful suggestions" to "actual second opinions" - Lessons from shipping code across Rust, TypeScript, and C++ with async agents watching - What makes a high-signal bot: sparse comments, zero hype, and earned trust - The line between tooling you use vs. tooling you start depending on Jessie walks through experiments across dozens of tools: where they failed, what stuck, and why one async agent quietly earned a spot in her team’s stack.

Channel: Zed IndustriesGenerated by anonymousDuration: 43mPublished Aug 26, 2025
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Video Chapters

Original Output

0:00 Begin your journey: Synchronous vs. Asynchronous AI agents unpacked
2:36 The early struggle: When AI code summaries fell short
4:35 To comment or not to comment: Defining AI's true value
9:40 Beyond replacement: AI's true role in augmenting human review
13:41 A game-changer appears: Discovering the power of Diamond-Graphite
15:06 Catching the uncatchable: Diamond identifies a subtle math error
18:12 From math to logic: Diamond's impact on critical code flaws
20:47 The true strength: AI as your ultimate second pair of eyes
23:40 The core promise: Finding the bugs humans just can't see
25:56 The golden rule: Why low-touch, high-value AI wins

Timestamps by StampBot 🤖