Design an agent network connected via MCP: research agent, code editor, test agent, verifier, and deploy operator. Include message schemas, permissions, and stop rules.
Design a monorepo-focused self-editor: dependency-aware builds, targeted tests, ownership routing, and change batching. Include safeguards against large blast radius.
Design a loop to capture reviewer comments, categorize them, and update checklists/prompts/tests accordingly. Include privacy boundaries and opt-out.
Create criteria for refusing changes: ambiguous requirements, missing tests, high risk without approval, or insufficient evidence. Include user messaging templates.
Design an artifact ledger storing RFCs, diffs, test reports, benchmarks, deploy logs, and citations. Include retention policy and query patterns for audits.
Create a confidence scoring model for proposed changes based on tests passed, diff risk, code area criticality, and evidence quality. Use it to decide automation level.
Design tabletop exercises and simulations for agent failures (bad PR, bad deploy). Include roles, scripts, and acceptance criteria for readiness.
Create a documentation set for the self-improving agent: architecture, tools, policies, and runbooks. Include a “limitations” section and safety rationale.
Design a two-person approval rule for high-risk areas (auth, payments, prod config). Include automated detection of risky diffs and enforcement.
Draft constraints so research/crawling never performs intrusive activity; only access allowed APIs and public docs. Include a compliance checklist and enforcement.
Design explicit stop rules: max iterations, max diff size, max retries, and “ask human” triggers. Include monitoring for loop detection and runaway behavior.
Create a cost-aware policy: budgets per run, per tool call, and per environment. Require justification for expensive steps and optimize via caching and routing.
