Agent Speedrun: Idea โ Code โ Deploy โ Observe, Fix โ Ship
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Elizabeth Fuentes Leone
AWS
Developer Advocate/SDE, GenAI
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Sandhya Subramani
AWS
Senior Developer Advocate
Sean O'Dell
Developer Experience ยท Dynatrace
Johannes Vollert
Experience Lead ยท Bluebox.ai
Andrew Norris
Director, Product Management ยท Bluebox.ai
Rob Vollum
FDE ยท Bluebox.ai
Coding agents made writing and shipping code fast. Knowing whether what shipped works in production is still manual, and most of the tooling for it assumes an SRE or DevOps team you may not have. This hands-on workshop covers the other half of the loop. How do you give a coding agent enough production context to diagnose a real failure, and how do you verify that the fix it proposed reached production and made things better? You get your own GitHub Codespace running a deliberately broken microservice app under live traffic. We work through detection, causal root cause, a pull request, a deploy, and verification against error rates and SLOs, with visible proof in the running app. Then you point the same loop at a repository of your own. We use Bluebox by Dynatrace, a free helper agent, to run the loop, and leverage OpenTelemetry and your code repo as data sources. Bring a laptop, a GitHub account, and a repo where you can install a GitHub App. We will provide the microservice app, coding agents and everything else runs in the browser.
World Congress 2026 North America
Elizabeth Fuentes Leone
AWS
Developer Advocate/SDE, GenAI
Sandhya Subramani
AWS
Senior Developer Advocate
Elizabeth Fuentes Leone
AWS
Developer Advocate/SDE, GenAI
Sandhya Subramani
AWS
Senior Developer Advocate
Karthik Rameshkumar
Entire
Field CTO
Rocky Warren
Clipboard
Sr. Staff Software Engineer