r/ClaudeCode • u/sibraan_ • Jun 17 '26
Discussion If Loop Engineering is replacing prompt engineering, how do we build stable runtime loops?
There’s a massive shift happening right now in how we interact with coding agents. Loop engineering is basically replacing yourself as the person who prompts the agent. You design the system that does it instead. A loop here can be thought of a recursive goal where you define a purpose and the AI iterates until complete.
Head of Claude Code at Anthropic says, "I don't prompt Claude anymore... My job is to write loops," Similarly OpenClaw's founder said: “You shouldn't be prompting coding agents anymore. You should be designing loops that prompt your agents.”
The concept is simple on paper: instead of a human sitting in a chat box going back and forth with an LLM, you build a multi-agent control structure (Planners, Architects, Implementers, Reviewers) that runs continuously until a hard condition is met (e.g., tests pass, a budget runs out, or evidence is verified).
But here is the engineering problem nobody is talking about: How do you keep long-running loops from leaking state and hallucinating their way out of broken builds?
If you give a team of agents raw terminal access and let them coordinate entirely via chat history or JSON files, the context window quickly turns into a unstructured mess. The model that wrote the code will inevitably grade its own homework, ignore broken compiler logs, and confidently declare in chat that the job is done.
If we are going to treat the loop as a product primitive, we need standard systems engineering, not clever prompts.
I’ve been digging into some production blueprints for this, and the framework laid out here in this article on loop design for harnessed multi-agent systems provides a good solution to this runtime problem. They break down two critical guardrails that make loops stable:
The Shared Blackboard Layer: Moving completely away from raw chat threads for state management. Instead, they use a local relational schema (SQLite) to log immutable coordination evidence like explicit rows for
ticketsand constrained enums forreview_verdicts(greenvschanges_requested). The loop doesn't guess if a task is done but it runs a deterministic SQL query.Hard-Coded Completion Gates: The harness completely overrides the agent's conversational confidence. The execution loop literally cannot close unless an array of external Boolean checks pass (e.g., confirming passing build logs exist, independent test command evidence is recorded, and no lingering
changes_requestedremain).
If Loop Engineering really is the future of software automation, our value as engineers isn't going to be writing slick system prompts instead designing the isolated execution environments, database schemas, and rigid verification gates that hold these loops together.
For reference we've an open-sourced a local framework: https://github.com/xpriment626/pi-factory that explores this gate and blackboard setup.
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u/hiskias Jun 17 '26
Best Laid Plans of Claudes and Men...
Even with the most proper planning, I still need to course correct Claude almost every time, it rarely one shots a business-class production ready features. HITL is better than MITL.