Your AI Agent Has 99.9% Uptime and Still Gives Wrong Answers — Here's How Error Budgets Fix ThatYour AI agent has been running for 47 days straight. Zero crashes. Zero timeouts. The uptime dashboard shows 99.97%. Your SRE team is satisfied. Meanwhile, the agent has been hallucinating tool parameters for the last six hours. It confidently genera...Mar 28 · 12 min readklementgunndu1.hashnode.dev
Your AI Agent's Config Lives in 6 Different Files and Nobody Knows Which One WinsYour AI agent has a temperature setting in a YAML file, a model name in an environment variable, a system prompt in a Python string, tool definitions in a JSON schema, retry limits in a constants module, and feature flags in a database. You change th...Mar 28 · 8 min readklementgunndu1.hashnode.dev
Your AI Agent Breaks Every Time You Deploy a New Version — Here's How to Version and Ship Agents SafelyDeploying a new version of your AI agent is not the same as deploying a new version of a web service. You can roll back bad code. You cannot easily roll back bad behavior that corrupted 3,000 records or sent 500 emails before anyone noticed the model...2AAMar 26 · 12 min readklementgunndu1.hashnode.dev
Your AI Agent Makes the Same LLM Call 50 Times a Day — 5 Caching Patterns That Cut Latency and CostEvery time your agent processes a user query, it calls the LLM. Every time it encounters a similar query, it calls the LLM again. Same system prompt, nearly identical user message, same model, same result — but a fresh API call every time. At $15 per...1AMar 25 · 9 min readklementgunndu1.hashnode.dev
Your AI Agent Has 12 Hardcoded API Keys and You Call It "Production-Ready" — Dependency Injection Patterns for Agent SystemsMost agent code I review looks like this: the LLM client is instantiated inline, the vector store connection is hardcoded in the tool function, the prompt template is a raw string in the agent loop, and the embedding model is imported at the top of t...Mar 22 · 11 min readklementgunndu1.hashnode.dev
