AI Prompt Engineering Blog
Expert guides, tutorials, and insights to master the art of prompt engineering for ChatGPT, Claude, Gemini, and beyond.
Latest Articles
Page 13 of 23GitHub Copilot Workspace Prompting Guide (2026)
How to prompt GitHub Copilot Workspace — spec-first prompts, editing the plan before implementation, and the spec→plan→implementation flow.
Hierarchical Context Loading: Load Specific First (2026)
How to load context hierarchically — most specific first, general fallback last. Why attention decay makes ordering matter and how to structure it.
Long Context Prompting Guide (2026)
How to prompt across 1M+ token contexts — structural markers, placement strategy, and when retrieval beats brute-force context packing.
Multi-Agent Prompting Guide: Coordinating Specialist Agents (2026)
How to prompt multi-agent systems — orchestrator-worker topology, hand-off patterns, shared vs isolated context, and failure modes in 2026.
Needle in a Haystack Prompting Guide (2026)
What the needle-in-a-haystack benchmark tests, why passing it isn't enough, and how to prompt so buried facts are actually findable.
Plan-and-Execute Prompting: Decompose First, Then Act (2026)
The plan-and-execute agent pattern — decompose the goal into a plan, review the plan, then execute. Trade-offs vs ReAct and when to use each.
Prompt Caching Guide (2026): Cutting LLM Costs With Cache Hits
How prompt caching works at Anthropic and OpenAI in 2026 — cache markers, hit requirements, TTL, and how to structure prompts so the cache actually fires.
ReAct Prompting Guide: Reasoning Plus Acting for AI Agents (2026)
How the ReAct pattern works — interleaved reasoning, action, and observation. When ReAct beats chain-of-thought or pure tool use, and how to prompt for it.
Reflexion Prompting Guide: Verbal Self-Reflection After Failures (2026)
How reflexion prompting works — the agent writes a reflection after each failed attempt, accumulating episodic memory that guides later retries.
Replit Agent Prompting Guide (2026)
How to prompt Replit Agent — product-brief prompts for full-stack scaffolding, iteration patterns, and the run-observe-refine loop.
The 4 Reusable RAG Prompt Patterns: A Named-Patterns Reference (2026)
Four named, reusable prompt patterns that make RAG actually work — explicit citation, groundedness framing, chunk formatting, and negative handling — plus the failure modes and tests for each.
Self-Refine Prompting: Critique and Revise in One Loop (2026)
How self-refine prompting works — the model produces, critiques, and revises. When this single-model loop helps, when it hurts, and how to prompt for it.
Semantic Caching vs Prompt Caching: Different Caches, Different Jobs (2026)
Semantic caching skips the model on similar queries; prompt caching skips compute on repeated prefixes. Both cut cost but solve different problems — and most production systems use both.
Spec-Driven AI Coding: Writing Specs Agents Execute Well (2026)
How to write specs agents execute well — user story, acceptance criteria, out-of-scope, constraints. The spec is the prompt when agents run autonomously.
System Prompt vs User Prompt: What Goes Where (2026)
The difference between system prompts and user prompts — stable persona vs dynamic task — and why the split matters for caching, attention, and consistency.
Token Economics Guide (2026): Making AI Cheap Enough to Ship
Token economics for production LLM apps — input vs output pricing, caching amortization, model tiering, and the trade-offs that decide what's affordable.
Tool Use Prompting Patterns: Getting Reliable Tool Calls (2026)
Prompt patterns that make tool use reliable — clear tool descriptions, tool-forcing vs tool-permitting, error recovery, and handling malformed arguments.
v0 Prompting Guide: How to Prompt Vercel v0 (2026)
How to prompt Vercel v0 for production-quality UI. Component-level prompts, screenshot-to-UI, iteration patterns, and what v0 is (and isn't) good at.