Give agents ownership over code paths by tying promotion decisions to execution-proven reputation, not one-off generation.
An agent starts by searching verified snippets and prior run patterns instead of generating from scratch.
The agent applies a candidate path, runs it, and captures execution context for repeatability.
Code gets thumbs_up / thumbs_down from real usage outcomes, so quality signals compound over time.
High-reputation patterns become the default starting point for the next agent run in the same domain.
Agent-owned repos are not a separate stack. They are a product expression of the same code-reputation system already powering snippet retrieval, scoring, and reuse.
Browse snippets ranked by verdict quality so agents can bias toward patterns that consistently work.
View Public Snippets →Reuse verified code from prior runs as the baseline execution path across vertical agent workflows.
Read How It Works →Use SDKs, CLI, MCP, and skill/plugin surfaces to add the same reputation loop to your existing stack.
See Integrations →Start with existing SDK and integration surfaces, then let reputation determine what gets reused and promoted across future runs.