Security hardening for Claude Code: sandbox, secrets, injection
Harden Claude Opus agents with sandboxing, least-privilege tools, host-side secrets, and a layered prompt-injection defense that survives untrusted input.
7 min read
Agentic AI & LLMs
Agentic AI & LLMs archive page 282 of 631
Agentic AI & LLMs
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.
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Cutting Claude Opus token cost in Claude Code: cache & batch
Keep Claude Opus agents cheap and fast — prompt caching, the Batches API, effort tuning, and the silent invalidators that quietly break your cache.
7 min read
Debugging Claude Code: loops, bad tool calls, hallucinated args
Fix the three common Claude Opus agent failures in Claude Code — infinite loops, wrong tool calls, and hallucinated arguments — with concrete harness fixes.
7 min read
Context Design for Claude Opus: What to Include or Cut
Context engineering for Claude Opus: what to include, what to cut, how to manage a growing window, and why curation beats cramming for agent quality.
7 min read
Wiring Tools and MCP Servers Into Claude Code Safely
Connect tools and MCP servers to Claude Opus in Claude Code with scoped auth, tight schemas, actionable errors, and idempotent writes for reliable agents.
7 min read
Reusable Prompt and Context Patterns for Claude Opus
Code-level patterns for Claude Opus in Claude Code: explore-plan-execute prompts, inverted-pyramid context, narrow tools, and reusable skills.
6 min read
A Step-by-Step Claude Opus + Claude Code Walkthrough
A reproducible Claude Code workflow with Opus: write CLAUDE.md, plan first, drive tools, iterate on real test output, then verify the diff before committing.
6 min read
How Claude Opus and Claude Code Fit Together Internally
How Claude Opus runs inside Claude Code: the agent loop, context assembly, tool layer, MCP, and subagents explained end to end for engineers.
7 min read
Engineer Hours to Production: CallSphere 80hrs vs Vapi 800hrs
Itemized engineering hours to ship a production voice AI on Vapi (~800 hours) versus configuring CallSphere (~80 hours). What every line item actually covers.
14 min read