devOctober 9, 2026·Stack Overflow Blog

Taking a look under your agent’s hood

Ryan is joined by Yanbing Li, Chief Product Officer at Datadog, to talk about applying observability to non-deterministic AI agents, blurring the boundaries between software development and production workflows, and navigating emerging challenges in AI security and tokenomics.

Key Takeaways

•Ryan is joined by Yanbing Li, Chief Product Officer at Datadog, to talk about applying observability to non-deterministic AI agents, blurring the boundaries between software development and production workflows, and navigating emerging challenges in AI security and tokenomics.
•This story was reported by Stack Overflow Blog, covering developments in the dev space.
•AI advancements continue to reshape industries — read the full article on Stack Overflow Blog for complete coverage.

📖 Continue reading the full article:

Read Full Article on Stack Overflow Blog →

Share this article

X Facebook Reddit ☕ Support

Dev.to

Stop the read-then-exfiltrate chain: session taint for AI agents

Most AI agent incidents people worry about are not one bad tool call. They are two ordinary ones in a row. The agent reads a file. Maybe it is .env, maybe config/credentials.yml, maybe a token pasted into a ticket it was asked to summarise. The agent makes an outbound HTTP request. Maybe to "fetch t

Dev.to

5 permission rules every coding agent should ship with

Coding agents now run shell commands, edit files, and push branches on real repos. Most teams give them either everything or a pile of "are you sure?" prompts that people click through. There is a middle ground: a small set of rules that stop the handful of actions that actually cause incidents, and

Dev.to

Several agents, no shared memory: why I built one

I run several personal AI agents - Meta Muse, Instinct, Tab, Hark and a few others. Each one starts every session knowing nothing, and none of them know what the others learned. I'd tell one agent something, then catch myself telling another agent the exact same thing the next day. They don't rememb

Dev.to

I built a tool that explains why AI recommends your competitors

I build small tools for the web. For a while I looked at my search rankings and felt fine about them. Then I started asking ChatGPT the same questions my visitors ask. Things like "what's the best option for X if you're a small team." My site wasn't in the answers. Not ranked tenth — absent entirely

Discussion

Loading articles...

Taking a look under your agent’s hood

Key Takeaways

Related Articles

Stop the read-then-exfiltrate chain: session taint for AI agents

5 permission rules every coding agent should ship with

Several agents, no shared memory: why I built one

I built a tool that explains why AI recommends your competitors

Discussion

Taking a look under your agent’s hood

Key Takeaways

Related Articles

Stop the read-then-exfiltrate chain: session taint for AI agents

5 permission rules every coding agent should ship with

Several agents, no shared memory: why I built one

I built a tool that explains why AI recommends your competitors

Discussion

Related Articles

Dev.to
Stop the read-then-exfiltrate chain: session taint for AI agents
Most AI agent incidents people worry about are not one bad tool call. They are two ordinary ones in a row. The agent reads a file. Maybe it is .env, maybe config/credentials.yml, maybe a token pasted into a ticket it was asked to summarise. The agent makes an outbound HTTP request. Maybe to "fetch t

Dev.to
5 permission rules every coding agent should ship with
Coding agents now run shell commands, edit files, and push branches on real repos. Most teams give them either everything or a pile of "are you sure?" prompts that people click through. There is a middle ground: a small set of rules that stop the handful of actions that actually cause incidents, and

Dev.to
Several agents, no shared memory: why I built one
I run several personal AI agents - Meta Muse, Instinct, Tab, Hark and a few others. Each one starts every session knowing nothing, and none of them know what the others learned. I'd tell one agent something, then catch myself telling another agent the exact same thing the next day. They don't rememb

Dev.to
I built a tool that explains why AI recommends your competitors
I build small tools for the web. For a while I looked at my search rankings and felt fine about them. Then I started asking ChatGPT the same questions my visitors ask. Things like "what's the best option for X if you're a small team." My site wasn't in the answers. Not ranked tenth — absent entirely