Testing & Evals for Claude Agents: Gate Releases Safely
Build an eval loop for Claude agents: outcome and trajectory scoring, calibrated LLM judges, and no-regression gates that block bad releases.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Build an eval loop for Claude agents: outcome and trajectory scoring, calibrated LLM judges, and no-regression gates that block bad releases.
Security hardening for Claude agents: sandboxing, least privilege, secrets handling, and prompt-injection defense for tool-using agentic systems.
Least privilege, sandboxing, secret hygiene, and prompt-injection defense for a Claude source-code security agent. Harden the agent that reads your code.
Secure Claude agent orchestration with sandboxed tools, least-privilege scopes, server-side secrets, and layered prompt-injection defenses.
Make Claude agents cheaper and faster with prompt caching, batching, context trimming, and model routing. Practical token economics for production agents.
Use prompt caching, batching, and diff-scoped context to keep a Claude-powered source-code security agent fast and cheap without losing coverage.
Keep Claude agent orchestration cheap and fast with prompt caching, batching, model routing, and lean context that cut token bills without losing quality.
Fix loops, hallucinated CWE IDs, and wrong tool calls in LLM source-code security agents. A practical Claude Code debugging field guide for engineers.
Catch loops, wrong tool calls, and hallucinated arguments in Claude agent orchestration with tracing, loop detection, and schema-validated tool boundaries.