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On October 26, 2026, Thorsten Ball of AmpCode proposed a working methodology for using Agents to connect building, releasing, and production observability. Its core view is: what truly amplifies the benefits is the combination of Agents, codebase readability, and process, letting Agents cover building, releasing, CI, production logs, feature flags, and monitoring horizontally, rather than merely replacing typing in the editor. The team uses about 15 AGENTS.md files and skills to make the codebase readable for Agents, and uses the Orbs cloud environment to achieve one temporary machine per thread; in daily work they insist on using the strongest model, reviewing only load-bearing code, and requiring evidence such as E2E, screenshots, and screen recordings before entering review. The article uses an Orbs OOM as an example to show the complete chain from receiving the report on Slack, checking logs and BigQuery, releasing via feature flag, to manual verification. Currently this methodology is publicized as a summary of experience, and there are no follow-up progress reports yet.
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AmpCode's Thorsten Ball on how to use Agents to connect build, release, and production observabilityDevelopments
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- Source:Shao Meng
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Oct 26
Shao Meng
AmpCode's Thorsten Ball on how to use Agents to connect build, release, and production observability
AmpCode's Thorsten Ball summarized a set of methods for using Agents: what truly amplifies the returns is the combination of Agents, codebase readability, and processes, letting Agents cover build, release, CI, production logs, feature flags, and monitoring horizontally, rather than just replacing typing in the editor. The team uses about 15 AGENTS.md files and skills to make the codebase readable for Agents, and uses Orbs cloud environments to achieve one temporary machine per thread; in daily work they insist on using the strongest model, review only load-bearing code, and require evidence such as E2E, screenshots, and screen recordings before entering review. The article uses an Orbs OOM as an example to show the complete chain from receiving the report on Slack, checking logs and BigQuery, releasing via feature flag, to manual verification.