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A practical system for turning complex, high-stakes system designs into reliable, production-grade architecture. #
I gave Claude Code a task that sounds like the holy grail of modern software engineering:
Build a stateful AI agent that can query our PostgreSQL database, analyze the results, and send a summary email to the client.
The request looked clear. The application already had a database connection, an LLM client, and an email service. Claude just needed to wire them together into an autonomous loop.
A few minutes later, the terminal blinked back to life. It had created an agent loop, a few tool definitions, and a passing unit test.
It looked like a spectacular example of AI-assisted development.
Then I reviewed the implementation.
The agent had no memory; if the server restarted mid-execution, it lost its state and started over. It had no idempotency; if the LLM hallucinated and called the “send email” tool twice, the client got two emails. It had no budget limits; when it got stuck in a reasoning loop, it…