Augment Code on X: "Harvey built their coding agents to be collaborative by design. Engineers, PMs, and researchers all contribute context to the same agent, not parallel ones running on separate laptops."
TL;DR · AI Summary
Harvey's coding agents are designed to be collaborative, where engineers, product managers, and researchers all contribute context to the same agent, rather than running parallel ones on separate laptops.
Key Takeaways
- Harvey's coding agents improve team efficiency through collaborative design, red
- An upcoming live event will delve into architectural decisions and trade-offs.
- Register for our session on May 5 at 10 AM PT to learn how cloud agents fit into
Outline
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Harvey's coding agents are designed to be collaborative, improving team efficiency.
Engineers, product managers, and researchers all contribute context to the same agent, reducing redundant work.
An upcoming live event will delve into architectural decisions and trade-offs.
Register for our session on May 5 at 10 AM PT to learn how cloud agents fit into engineering organizations.
Mindmap
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查看大纲文本（无障碍 / 无 JS 友好）
- Harvey编码代理
- 协作机制
- 工程师
- 产品经理
- 研究人员
- 直播活动
- 架构决策
- 权衡
Highlights
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Harvey built their coding agents to be collaborative by design, reducing redundant work.
We're hosting a live conversation with Joey Wang, Engineering Lead at Harvey, to dig into what the blog post didn't cover.
Register here for our session on May 5 at 10 AM PT to learn more about cloud agents in engineering organizations.
They published a blog post on how it works. We're going behind it.
We're hosting a live https://t.co/zCpCSbECbx" / X
Augment Code on X: "Harvey built their coding agents to be collaborative by design. Engineers, PMs, and researchers all contribute context to the same agent, not parallel ones running on separate laptops. They published a blog post on how it works. We're going behind it. We're hosting a live https://t.co/zCpCSbECbx" / X
Don’t miss what’s happening
Harvey built their coding agents to be collaborative by design. Engineers, PMs, and researchers all contribute context to the same agent, not parallel ones running on separate laptops. They published a blog post on how it works. We're going behind it. We're hosting a live conversation with Joey Wang, Engineering Lead at Harvey, to dig into what the blog post didn't cover: the architecture decisions, the tradeoffs, and what didn't work the first time. If you're thinking about where cloud agents fit into your engineering org, this is the conversation to be in. Register here for our session on May 5 at 10 AM PT:https://watch.getcontrast.io/register/augme nt-code-how-harvey-built-their-internal-cloud-agent-platform?utm_source=x&utm_medium=organic&utm_campaign=webinars_q226…
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