When organizations deploy autonomous AI agents into mission-critical production environments, traditional software vulnerabilities are compounded by probabilistic failures. RCode conducts deep architecture and code reviews of agent systems to identify security, latency, and reliability flaws before customer impact occurs.
Prompt Injection and Tool Execution Boundaries
Language models cannot reliably distinguish between system instructions and untrusted user input embedded in retrieved documents. Our technical audits inspect how tools are isolated, ensuring that read-only queries cannot execute write operations and that secondary validation gates guard all database modifications.
State Machine Determinism and Recovery
When an external API call fails mid-workflow, can the agent resume cleanly, or does it lose conversational context and re-execute preceding actions? We evaluate multi-agent graph topologies, state persistence schemas, and retry mechanisms to build resilient, fault-tolerant execution pipelines.