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Self-Improving Systems(SIS)
Controlled systems that propose changes to prompts, tools, or policies and retain them only after independent evaluation and approval
Complexity: highLearning and Adaptation
In 30 seconds
- What
- Agent proposes changes to prompts or policies, validates them against test suites in isolation, then deploys only after human approval.
- When to use
- Production systems where failures are costly and you need to evolve behavior safely without breaking existing functionality.
- Watch out
- Evaluation suites become stale or incomplete, causing bad changes to pass validation and reach production anyway.
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Self-Improving Systems: Overview
Controlled systems that propose changes to prompts, tools, or policies and retain them only after independent evaluation and approval
- Candidate change generation
- Versioned evaluation suites
- Sandboxed validation
- Human approval gates
- Canary releases and rollback
- Change provenance and audit logs
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References
The papers, specifications, and repositories this pattern is based on.
- Self-Refine: Iterative Refinement with Self-Feedback (2023)arXiv:2303.17651