Great talking with you, my good friend! I'm excited to learn about computational linguistics. Glad it's going well at Univ of Washington. My friend's name is Paul Benschoter, with the voice group at Wells Fargo, and based in Portland. TTYL, Mike
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To sustain productivity in long-running agent systems, Slack engineers moved away from accumulating chat logs and started using structured memory, validation, and distilled truth to maintain coherence and accuracy of long-running agent systems.
Google Cloud has introduced Agents CLI within its Agent Platform, aiming to streamline the development lifecycle of AI agents from local prototyping to production deployment. The release targets a common challenge in agent development, where tooling and infrastructure are often fragmented across multiple services and environments.
GitHub has introduced a new approach to improving deployment safety by leveraging eBPF, enabling the company to detect and prevent hidden circular dependencies that could block recovery during outages.
The presenters discuss incident response, how AI-enhanced SRE platforms connect signals from logs, metrics, traces, and historical incidents to enable autonomous decisions.
Molly Struve discusses a brutal six-day outage that nearly sank a company. She explains technical lessons like the importance of FMEAs, shadow traffic, and exercising rollback mechanisms. She shares why the human elements - widening your circle early and having a VP who acts as a defender - are what truly build psychological safety.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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How Slack Manages Context in Long-running Multi-agent Systems
To sustain productivity in long-running agent systems, Slack engineers moved away from accumulating chat logs and started using structured memory, validation, and distilled truth to maintain coherence and accuracy of long-running agent systems.
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