Add content to AI Engineer roadmap (#7349)

* Added content to custom-validators topic

* Added contents to 10 git & github topics

* Apply suggestions from code review

styling clean up

* Added contents to 10 git and github topics

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* Update src/data/roadmaps/git-github/content/creating-account@i7fIIHcBEk473te8bniJ5.md

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* Update src/data/roadmaps/git-github/content/deleting-branch@1uDenoQ6zu7CT69FR2iQB.md

* Update src/data/roadmaps/git-github/content/fast-forward-vs-non-ff@agtPWS8j6i6wQPk10cy8E.md

* Update src/data/roadmaps/git-github/content/forking-vs-cloning@l1Wf7Pe_ah8ycCgslfSK4.md

* Update src/data/roadmaps/git-github/content/git-rebase@HMEfUFNu_Wp_Pac7VWHr-.md

* Added contents to 7 git and github topics

* added content to 10 redis topics

* Revert changes to src/app.js from commit abc1234

* Added contents to 5 Ai engineer roadmap topics

* Update src/data/roadmaps/ai-engineer/content/ai-agents@9XCxilAQ7FRet7lHQr1gE.md

Co-authored-by: Kamran Ahmed <kamranahmed.se@gmail.com>

* Update src/data/roadmaps/ai-engineer/content/ai-code-editors@XcKeQfpTA5ITgdX51I4y-.md

Co-authored-by: Kamran Ahmed <kamranahmed.se@gmail.com>

* Update src/data/roadmaps/ai-engineer/content/chroma@dSd2C9lNl-ymmCRT9_ZC3.md

Co-authored-by: Kamran Ahmed <kamranahmed.se@gmail.com>

* updated content of adding-end-user-ids

* Update src/data/roadmaps/ai-engineer/content/adding-end-user-ids-in-prompts@4Q5x2VCXedAWISBXUIyin.md

* Update src/data/roadmaps/ai-engineer/content/agents-usecases@778HsQzTuJ_3c9OSn5DmH.md

* Update src/data/roadmaps/ai-engineer/content/agents-usecases@778HsQzTuJ_3c9OSn5DmH.md

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Co-authored-by: dsh <daniel.s.holdsworth@gmail.com>
Co-authored-by: Kamran Ahmed <kamranahmed.se@gmail.com>
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# Adding end-user IDs in prompts
# Adding end-user IDs in prompts
Sending end-user IDs in your requests can be a useful tool to help OpenAI monitor and detect abuse. This allows OpenAI to provide your team with more actionable feedback in the event that we detect any policy violations in your application.
Visit the following resources to learn more:
-[@official@Sending end-user IDs - OpenAi](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids)

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# Agents Usecases
# Agents Usecases
AI Agents have a variety of usecases ranging from customer support, workflow automation, cybersecurity, finance, marketing and sales, and more.
Visit the following resources to learn more:
- [@article@Top 15 Use Cases Of AI Agents In Business](https://www.ampcome.com/post/15-use-cases-of-ai-agents-in-business)
-[@article@A Brief Guide on AI Agents: Benefits and Use Cases](https://www.codica.com/blog/brief-guide-on-ai-agents/)
-[@video@The Complete Guide to Building AI Agents for Beginners](https://youtu.be/MOyl58VF2ak?si=-QjRD_5y3iViprJX)

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# AI Agents
# AI Agents
In AI engineering, "agents" refer to autonomous systems or components that can perceive their environment, make decisions, and take actions to achieve specific goals. Agents often interact with external systems, users, or other agents to carry out complex tasks. They can vary in complexity, from simple rule-based bots to sophisticated AI-powered agents that leverage machine learning models, natural language processing, and reinforcement learning.
Visit the following resources to learn more:
-[@article@Building an AI Agent Tutorial - LangChain](https://python.langchain.com/docs/tutorials/agents/)
-[@article@Ai agents and their types](https://play.ht/blog/ai-agents-use-cases/)
-[@video@The Complete Guide to Building AI Agents for Beginners](https://youtu.be/MOyl58VF2ak?si=-QjRD_5y3iViprJX)

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# AI Code Editors
# AI Code Editors
AI code editors are development tools that leverage artificial intelligence to assist software developers in writing, debugging, and optimizing code. These editors go beyond traditional syntax highlighting and code completion by incorporating machine learning models, natural language processing, and data analysis to understand code context, generate suggestions, and even automate portions of the software development process.
Visit the following resources to learn more:
- [@website@Cursor - The AI Code Editor](https://www.cursor.com/)
- [@website@Bolt - Prompt, run, edit, and deploy full-stack web apps](https://bolt.new)
- [@website@Replit - Build Apps using AI](https://replit.com/ai)
- [@website@v0 - Build Apps with AI](https://v0.dev)

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# Chroma
# Chroma
Chroma is an open-source vector database and AI-native embedding database designed to handle and store large-scale embeddings and semantic vectors. It is used in applications that require fast, efficient similarity searches, such as natural language processing (NLP), machine learning (ML), and AI systems dealing with text, images, and other high-dimensional data.
Visit the following resources to learn more:
-[@official@Chroma](https://www.trychroma.com/)
-[@article@Chroma Tutorials](https://lablab.ai/tech/chroma)
-[@video@Chroma - Chroma - Vector Database for LLM Applications](https://youtu.be/Qs_y0lTJAp0?si=Z2-eSmhf6PKrEKCW)

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