AI 3.0: The Evolution of AI-Powered Development

Define the three levels of AI-powered development and learn how to boost 10x productivity in your daily work.

🔹 Level 1: Entry-Level AI Chat
GitHub Copilot
Basic code completion
Simple AI assistance

🔹 Level 2: Advanced AI Conversation with the Best Model
Context-aware solutions
Complete code generation
Documentation automation

🔹 Level 3: AI Agents
Real-time problem solving
Automated error fixing
System-wide optimization

🔹 Advanced Techniques
Meta-prompting
Prompt chaining
Self-improving workflows

🔹 Best Practices
Version control for prompts
Prompt sandwich technique
Self-documenting systems

Learn how to evolve your development process from basic AI assistance to fully automated AI agents.

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Glossary of Key Terms

AI (Artificial Intelligence): The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
Reference: https://cloud.google.com/learn/what-i...

Gemini: Google's AI model designed for multimodal tasks including text, code, images, and audio processing.
Reference: https://deepmind.google/technologies/...

Vertex AI: Google Cloud's unified AI platform that enables building, deploying and scaling ML models and AI applications. It provides tools for data preparation, model training, deployment and MLOps.
Reference: https://cloud.google.com/vertex-ai

GPT (Generative Pre-trained Transformer): A type of large language model that is able to generate human-like text; ChatGPT is a well-known example.
Reference: https://openai.com/chatgpt

GitHub Copilot: An AI-powered coding assistant developed by GitHub and Microsoft, designed to suggest code snippets and complete lines of code in real-time.
Reference: https://github.com/features/copilot

Claude AI: An AI model developed by Anthropic, known for its strong performance in coding, analysis, and general knowledge tasks.
Reference: https://www.anthropic.com/claude

Cline.bot Agent: An open-source AI agent framework for building and deploying custom AI agents. It allows for the creation of specialized AI assistants and automation tools.
Reference: https://github.com/cline/cline

LLM (Large Language Model): An AI model trained on massive amounts of text data, capable of generating human-like text and performing various language-related tasks.
Reference: https://en.wikipedia.org/wiki/Large_l...

API (Application Programming Interface): A set of defined rules that enable different software applications to communicate and share data with each other.
Reference: https://www.redhat.com/en/topics/api/...

Molecule: A testing framework for Ansible roles and playbooks that helps developers and sysadmins test their roles in various environments.
Reference: https://molecule.readthedocs.io/

Ansible: An open-source software tool that provides simple and efficient automation of system configuration, app deployment and task execution.
Reference: https://www.ansible.com/

GCP (Google Cloud Platform): A suite of cloud computing services offered by Google, including virtual machines, storage, databases, and networking services.
Reference: https://cloud.google.com/

Terraform: An open-source infrastructure-as-code software tool that enables users to define and provision data center infrastructure using declarative configuration files.
Reference: https://www.terraform.io/

SVG (Scalable Vector Graphics): An XML-based vector image format for two-dimensional graphics, supporting interactivity and animation.
Reference: https://developer.mozilla.org/en-US/d...

Prompt Engineering: The process of crafting effective and reusable questions, instructions, or examples used to generate optimal results from AI models.
Reference: https://www.anthropic.com/news/claude...

Artifact: In software development and AI contexts, refers to any file or resource that is generated as part of a process, such as compiled code, documentation, or model outputs.
Reference: https://docs.github.com/en/actions/le... and Claude.ai introduced this powerful feature for you to preview/test the generated code https://support.anthropic.com/en/arti...