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.
Video Chapters
- 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
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 🤖