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Agentic Hell: Why We're Repeating the Worst Mistakes in AI

Ken Johnston ·March 2026 ·6 min read
Agentic Hell: Why We're Repeating the Worst Mistakes in AI

"Those who cannot remember the past are condemned to build recursive agent loops with no observability." — probably not George Santayana.

Every decade or so, we rediscover a new flavor of the same old problem. In the '90s it was DLL Hell — version mismatches and shared libraries that made shipping anything feel like defusing a bomb. In the 2010s it was Microservice Hell — over-split systems and a dizzying mesh of internal APIs.

Now we're building Agentic Hell: recursive agent loops with no observability, no provenance, and no way to answer the simplest audit question — what did this system actually do? This piece argues that the fix is the same discipline we eventually applied to every prior "hell": observability, versioning, and verifiable evidence.

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This is an editorial summary. The complete article is published on the AiGovOps Foundation blog.