AI Skills 2025: Master AI (Prompting, Agents, Coding) in 25 Minutes

AI in 2025: A Cliff Notes Guide

This article provides a comprehensive overview of Artificial Intelligence (AI) in 2025, covering basic definitions, prompting techniques, AI agents, AI-assisted coding (vibe coding), and emerging technologies. The goal is to equip you with knowledge exceeding that of 99% of the population.

Basic Definitions of AI

Artificial intelligence refers to computer programs capable of performing cognitive tasks typically associated with human intelligence. Traditional AI, often called machine learning in the past, includes algorithms like Google's search and YouTube's recommendation system. However, the current focus is on generative AI.

Generative AI: Creating New Content

Generative AI is a subset of AI that generates new content, including text, images, audio, video, and more. A popular example is the large language model (LLM), which processes text and outputs text. Examples include the GPT family from OpenAI, Gemini from Google, and Claude models from Anthropic. Many modern models are multimodal, handling text, images, audio, and video input/output.

Prompting: Communicating with AI Models

Prompting is the process of providing specific instructions to an AI tool to obtain desired information or achieve a task. It is a fundamental skill with a high return on investment. Effective prompting is essential for interacting with AI models, regardless of their sophistication.

Tiny Crabs Ride Enormous Iguanas Framework

For beginner prompting, use the tiny crabs ride enormous iguanas framework:

• Task: Define what you want the AI to do.

• Context: Provide as much relevant context as possible.

• Resources: Offer examples and references for inspiration.

• Evaluate: Assess the output and identify areas for improvement.

• Iterate: Refine the prompt and the output iteratively.

Ramen Saves Tragic Idiots Framework

For more advanced prompting, if the first framework isn't enough, use ramen saves tragic idiots:

• Revisit: Re-examine the "tiny crabs ride enormous iguanas" framework for improvements.

• Separate: Break down prompts into shorter, clearer sentences.

• Analogous task: Try rephrasing the task using analogous phrasing.

• Introducing constraints: Add constrains to make the results more specific and targeted.

By combining these two frameworks, you can significantly improve your prompting skills. Also, consider prompt generators from OpenAI, Gemini and Anthropic.

AI Agents: Autonomous Task Completion

AI agents are software systems using AI to pursue goals and complete tasks on behalf of users. They are often conceived as AI versions of specific roles (e.g., customer service, coding). These agents can automate routine tasks, freeing up human workers.

Components of an AI Agent

According to OpenAI, AI agents consist of six components:

1. AI Model: The core engine for reasoning and decision-making.
2. Tools: Interfaces to interact with systems and access information.
3. Knowledge and Memory: Access to data and the ability to remember past interactions.
4. Audio and Speech: Natural language interaction capabilities.
5. Guardrails: Mechanisms to prevent unintended or harmful actions.
6. Orchestration: Processes for deployment, monitoring, and improvement.

AI agents are greatly improved by Multi-Agent Communication Protocol (MCP), which is a standardized way for your agents to have access to tools and knowledge.

Technologies for Building AI Agents

• No-Code/Low-Code: Nend (general use), Gumloop (enterprise).

• Coding: OpenAI's Agents SDK, Google's ADK, Claude Code SDK.

AI-Assisted Coding: Vibe Coding

Vibe coding is a new approach to software development where developers leverage AI to handle code implementation, allowing them to focus on higher-level design and functionality. There are specific skills and best practices for vibe coding.

Tiny Ferrets Carry Dangerous Code Framework

A five-step framework for effective vibe coding, use tiny ferrets carry dangerous code:

• Thinking: Define product requirements thoroughly using a Product Requirements Document (PRD).

• Frameworks: Utilize existing frameworks and tools appropriate for the task.

• Checkpoints: Implement version control (Git, GitHub) to prevent data loss.

• Debugging: Methodically debug and guide the AI in fixing issues.

• Context: Provide ample context, including mockups and examples.

Vibe coding can be done using different tools.

Tools for Vibe Coding

The tools range from beginner-friendly to advanced:

• Beginner: Lovable, vzero, and Bolt.

• Intermediate: Replit.

• More advanced: Firebase Studio.

• Advanced: Windsurf, Cursor (AI code editors and coding agents).

• Most Advanced: Cloud Code (command-line tools).

Emerging Technologies: Looking Ahead

The AI landscape is rapidly evolving, so focus on underlying trends rather than chasing every new development. Three major trends are:

• Integration into Workflows and Existing Products: AI is being integrated into existing tools and processes to improve user experience and reduce costs.

• Increased Productivity of Developers: Tools like command-line interfaces and AI-assisted coding are boosting developer productivity.

• Focus on AI Agents: AI agents have the potential to personalize experiences, provide 24/7 availability, and lower costs.