BlastLoop is a practical, structure-first operating method for using AI coding agents that separates work by "altitude" and enforces a staged test loop. Developers pick one of three build altitudes - Blast for system-level shape and interfaces, Mid for subsystem or feature slices, and Inner for local file or unit changes - then point an agent at the matching prompt to produce code. After the agent writes code, a fixed test sequence runs: T1 structural checks (shape, boundaries, ownership), T2 bug and operational fixes, and T3 adversarial stress tests (edge cases, security, failure modes). The public cut includes loadable prompts for each build and test role so a team can clone the repo, choose AGENTS.md, load the right prompt, and run the ordered loop in minutes.
The method enforces ownership and routing: if T1 finds structural problems it routes the change back to the appropriate altitude owner rather than patching locally, and if T3 surfaces a structural flaw the loop restarts as T3 → T1 → altitude correction → T2 → T3. Stages may suggest fixes but only the owning altitude implements them. BlastLoop explicitly isn’t a fact-checker, a spec-first workflow, or an organizational chart; it’s a routing and quality-gate pattern that can operate alongside spec kits, local prompts, or red/blue testing. The repo provides AGENTS.md, prompts, handoff rules, examples, and an MIT license.
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