prompt-engineering
19 results
Best Prompt Engineering Resources in 2026 (Curated)
The courses, guides, communities, tools, and people worth following if you want to get seriously good at prompting AI models in 2026.
Claude AI Tutorial for Beginners (2026)
A hands-on guide to using Claude AI — from your first conversation to writing system prompts, uploading files, and getting consistently better results.
AI Code Review Prompts That Actually Catch Bugs
Prompt templates for using AI to catch real bugs in code reviews — security vulnerabilities, logic errors, race conditions, and performance issues.
ChatGPT Custom GPTs: Best Practices for Building and Prompting
How to build Custom GPTs that actually work — effective system prompts, instructions, knowledge files, and actions that make your GPT reliable and useful.
Gemini 2.0 Flash: Prompting Guide and Practical Tips
How to get the best results from Gemini 2.0 Flash — its strengths, quirks, multimodal capabilities, and the prompting patterns that work well at this speed tier.
Video Generation Prompts: Sora, Runway, and Kling Guide
How to write effective prompts for AI video generation tools — Sora, Runway Gen-3, and Kling. Camera direction, scene structure, consistency, and avoiding common failures.
Context Engineering Is Eating Prompt Engineering
Why the 2025 shift from 'write a better prompt' to 'engineer the entire context window' changes how you build AI applications — and what to do about it.
AI Research Workflows: How to Actually Use AI for Deep Research
Using AI for research is not just asking questions. It's a workflow: systematic question decomposition, source verification, synthesis, and gap identification. Here's how to build it.
Best Claude System Prompts for 2026: Templates That Actually Work
A curated collection of Claude system prompts for coding assistants, writing editors, research analysts, and more — with explanations of why each element works.
Vibe Coding: How to Prompt AI for Rapid Prototyping Without Getting Stuck
Vibe coding — using AI to write code from intent rather than specification — works well until it doesn't. Here's how to prompt for it effectively and avoid the common failure modes.
What is Context Engineering? The Term Replacing 'Prompt Engineering' in 2025
Context engineering is the practice of designing everything that goes into an AI's context window — not just the prompt. Here's why it matters and how to get better at it.
Context Engineering for Agents
Context engineering is the discipline of deciding what information goes into an agent's context window, in what form, and when. It's the highest-leverage skill for building reliable agents at scale.
Best Prompts for OpenClaw: Templates That Actually Work
Practical prompt templates for OpenClaw — covering daily tasks, research, automations, SOUL.md setup, and advanced multi-step instructions. Copy, adapt, and use immediately.
Get Better Results from OpenClaw: Prompting Strategies
Practical strategies for improving OpenClaw's output quality — covering SOUL.md tuning, context management, model selection, memory hygiene, and common mistakes that degrade responses.
Agentic Prompting: Designing Prompts for AI Agents
AI agents don't just answer questions — they plan, use tools, and take multi-step actions. Learn how to design prompts that make autonomous AI systems reliable, safe, and effective.
Prompt Compression & Token Efficiency
Shorter prompts cost less, run faster, and often produce better results. Learn how to reduce token usage without sacrificing output quality — and how to measure when compression is hurting you.
