chore: sync content to repo (#9584)

Co-authored-by: kamranahmedse <4921183+kamranahmedse@users.noreply.github.com>
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2026-02-05 12:51:02 +01:00
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@@ -4,6 +4,7 @@ AI agents are autonomous programs designed to help developers write code more ef
Visit the following resources to learn more:
- [@roadmap@Visit the Dedicated AI Agents Roadmap](https://roadmap.sh/ai-agents)
- [@article@What are AI Agents? - IBM](https://www.ibm.com/think/topics/ai-agents)
- [@article@AI Agents Explained in Simple Terms for Beginners](https://www.geeky-gadgets.com/ai-agents-explained-for-beginners/)
- [@video@What are AI Agents?](https://www.youtube.com/watch?v=F8NKVhkZZWI)

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@@ -4,9 +4,9 @@ Cursor is an AI-powered code editor designed to enhance developer productivity.
Visit the following resources to learn more:
- [@course@Cursor Learn](https://cursor.com/learn)
- [@official@Cursor](https://cursor.com/)
- [@official@Cursor Docs](https://cursor.com/docs)
- [@course@Cursor Learn](https://cursor.com/learn)
- [@article@Cursor AI: A Guide With 10 Practical Examples](https://www.datacamp.com/tutorial/cursor-ai-code-editor)
- [@video@Cursor AI Tutorial for Beginners](https://www.youtube.com/watch?v=3289vhOUdKA)
- [@video@Cursor Tutorial for Beginners (AI Code Editor)](https://www.youtube.com/watch?v=ocMOZpuAMw4)

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@@ -6,4 +6,4 @@ Visit the following resources to learn more:
- [@article@Emerging Patterns in Building GenAI Products](https://martinfowler.com/articles/gen-ai-patterns/)
- [@article@5 Patterns for Scalable LLM Service Integration](https://latitude.so/blog/5-patterns-for-scalable-llm-service-integration/)
- [@video@AI Design Patterns - LLM Integration: Choosing Between Direct Calls, Agents, RAG, MCP & Workflows](https://www.youtube.com/watch?v=_amJOKrM0XU)
- [@video@AI Design Patterns - LLM Integration: Choosing Between Direct Calls, Agents, RAG, MCP & Workflows](https://www.youtube.com/watch?v=_amJOKrM0XU)

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@@ -1,3 +1,9 @@
# AI in Backend Development
(Generative) AI can help backend developers automate tasks and write code more efficiently. It uses machine learning models to generate things like code snippets, documentation, and even test cases. By providing these tools with relevant information about your backend system, you can speed up the development process and reduce errors.
(Generative) AI can help backend developers automate tasks and write code more efficiently. It uses machine learning models to generate things like code snippets, documentation, and even test cases. By providing these tools with relevant information about your backend system, you can speed up the development process and reduce errors.
Visit the following resources to learn more:
- [@article@AI in software development](https://www.ibm.com/think/topics/ai-in-software-development)
- [@article@AI in Software Development](https://github.com/resources/articles/ai-in-software-development)
- [@article@AI in Software Development: Revolutionizing the Coding Landscape](https://www.coursera.org/articles/ai-in-software-development)

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# Machine Code Programming (MCP)
# Model Context Protocol (MCP)
Model Context Protocol (MCP) is a rulebook that tells an AI agent how to pack background information before it sends a prompt to a language model. It lists what pieces go into the prompt—things like the system role, the users request, past memory, tool calls, or code snippets—and fixes their order. Clear tags mark each piece, so both humans and machines can see where one part ends and the next begins. Keeping the format steady cuts confusion, lets different tools work together, and makes it easier to test or swap models later. When agents follow MCP, the model gets a clean, complete prompt and can give better answers.
@@ -9,4 +9,4 @@ Visit the following resources to learn more:
- [@article@The Ultimate Guide to MCP](https://guangzhengli.com/blog/en/model-context-protocol)
- [@article@A Clear Intro to MCP (Model Context Protocol) with Code Examples](https://towardsdatascience.com/clear-intro-to-mcp/)
- [@article@Model Context Protocol (MCP): A Guide With Demo Project](https://www.datacamp.com/tutorial/mcp-model-context-protocol)
- [@video@MCP: Build Rich-Context AI Apps with Anthropic](https://www.deeplearning.ai/short-courses/mcp-build-rich-context-ai-apps-with-anthropic/)
- [@course@MCP: Build Rich-Context AI Apps with Anthropic](https://www.deeplearning.ai/short-courses/mcp-build-rich-context-ai-apps-with-anthropic/)

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@@ -4,10 +4,10 @@ AI coding assistants can now leverage "skills" pre-defined functions or tool
Visit the following resources to learn more:
- [@course@Agent Skills with Anthropic](https://www.deeplearning.ai/short-courses/agent-skills-with-anthropic/)
- [@article@Agent Skills: The Universal Standard Transforming How AI Agents Work](https://medium.com/@richardhightower/agent-skills-the-universal-standard-transforming-how-ai-agents-work-fc7397406e2e)
- [@article@AI Agents or Skills? Why the Answer Is Both](https://thenewstack.io/ai-agents-or-skills-why-the-answer-is-both/)
- [@article@Agent Skills vs Tools: What Actually Matters](https://blog.arcade.dev/what-are-agent-skills-and-tools)
- [@course@Agent Skills with Anthropic](https://www.deeplearning.ai/short-courses/agent-skills-with-anthropic/)
- [@video@Claude Agent Skills Explained](https://www.youtube.com/watch?v=fOxC44g8vig)
- [@video@Agent Skills Explained: Why This Changes Everything for AI Development](https://www.youtube.com/watch?v=Ihoxov5x66k)
- [@video@The complete guide to Agent Skills](https://www.youtube.com/watch?v=fabAI1OKKww)