What is prompt injection? The 3 attack surfaces to fix
Prompt injection hijacks your LLM via user input, retrieved docs, and tool results. Three attack surfaces, and the defenses that actually work in production.
Tag · production
Prompt injection hijacks your LLM via user input, retrieved docs, and tool results. Three attack surfaces, and the defenses that actually work in production.
Per-user LLM cost at 1,000 daily users in 2026: token math across chat, extraction, and RAG at two model tiers, with break-even math for solo devs.
Why LLMs hallucinate, the three error types, prompting patterns that reduce them, and the one production eval that catches failures before your users see them.
Per-session cost math for 1,000 daily LLM chat sessions at three model tiers. Why stateless APIs compound costs and when sliding-window compaction pays off.
Sliding window, summarization compaction, priority truncation: three Node.js patterns for managing context in long-running LLM conversations.
A system prompt is the hidden instruction block that shapes every LLM response. Here's how it works, what it costs, and the production pitfalls to avoid.
Semantic caching reduces LLM API spend by 20-70% in production. Here's how embedding-based, prompt-hash, and hybrid caching each break in practice.