One month = 130,000 engineering tasks done by AI agents.
@DoorDash is already operating Agents at serious scale.
Once you reach that point, the model isn’t the only thing that matters.
You need:
→ Agent identity
→ Tool access
→ Permissions
→ Communication
→ Observability
→ Reliable execution
That’s why @Fetch_ai built an end-to-end Agent stack. Not another isolated AI tool.
https://www.infoq.com/news/2026/08/doordash-flux-cloud-agent/
70·B+Long
m
meme9/8meme
One month = 130,000 engineering tasks done by AI agents.
@DoorDash is already operating Agents at serious scale.
Once you reach that point, the model isn’t the only thing that matters.
You need:
→ Agent identity
→ Tool access
→ Permissions
→ Communication
→ Observability
→ Reliable execution
That’s why http://Fetch.ai built an end-to-end Agent stack. Not another isolated AI tool.
https://www.infoq.com/news/2026/08/doordash-flux-cloud-agent/
0·-Neutral
n
news9/8news
One month = 130,000 engineering tasks done by AI agents.
@DoorDash is already operating Agents at serious scale.
Once you reach that point, the model isn’t the only thing that matters.
That’s why http://Fetch.ai built an end-to-end Agent stack. Not another isolated AI tool. https://www.infoq.com/news/2026/08/doordash-flux-cloud-agent/
70·B+Long
n
news9/8news
One month = 130,000 engineering tasks done by AI agents.
@DoorDash is already operating Agents at serious scale.
Once you reach that point, the model isn’t the only thing that matters.
You need:
→ Agent identity
→ Tool access
→ Permissions
→ Communication
→ Observability
→ Reliable execution
That’s why http://Fetch.ai built an end-to-end Agent stack. Not another isolated AI tool.
https://www.infoq.com/news/2026/08/doordash-flux-cloud-agent/