Hardening Claude Agents: Sandboxing & Prompt-Injection
Secure Claude Agent SDK agents with sandboxing, least privilege, safe secret handling, and layered prompt-injection defenses.
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
Secure Claude Agent SDK agents with sandboxing, least privilege, safe secret handling, and layered prompt-injection defenses.
Make Claude Agent SDK runs cheap and fast with prompt caching, context pruning, parallel tool calls, batching, and per-step model selection.
Trace and fix the common Claude Agent SDK failure modes — runaway loops, wrong tool calls, and hallucinated arguments — with concrete instrumentation.
Design context for Claude Agent SDK agents: what to include, what to prune, just-in-time retrieval, and using subagents to keep windows lean.
Connect MCP servers to Claude Agent SDK agents safely: auth, tool schemas, transient vs semantic errors, timeouts, and idempotency for writes.
Reusable code-level patterns for Claude Agent SDK agents: layered prompts, narrow tool APIs, context budgeting, planning, and output contracts.
Step-by-step: build a working agent with the Claude Agent SDK — setup, system prompt, tools, the run loop, permissions, and production guardrails.
How the Claude Agent SDK works internally — the agent loop, tool runtime, context manager, permissioning, and subagents, connected end to end.
Use GPT Vision to perform automated accessibility audits that detect visual WCAG violations including contrast issues, missing labels, touch target sizes, and reading order problems — generating actionable compliance reports.