From 9a7e5572763b91c75da765572d5ea9caef951732 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Fri, 6 Feb 2026 13:26:09 +0100 Subject: [PATCH] chore: sync content to repo (#9590) Co-authored-by: kamranahmedse <4921183+kamranahmedse@users.noreply.github.com> --- .../roadmaps/backend/content/agents@w1D3-bSg93ndKK9XJTu7z.md | 2 +- .../roadmaps/backend/content/mcp@mHnI19RgZ57XDEIDaHxD0.md | 4 ++-- .../roadmaps/backend/content/skills@IWubGe3oquSj882QVnhLU.md | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/data/roadmaps/backend/content/agents@w1D3-bSg93ndKK9XJTu7z.md b/src/data/roadmaps/backend/content/agents@w1D3-bSg93ndKK9XJTu7z.md index 8dae2deb6..54a6c1908 100644 --- a/src/data/roadmaps/backend/content/agents@w1D3-bSg93ndKK9XJTu7z.md +++ b/src/data/roadmaps/backend/content/agents@w1D3-bSg93ndKK9XJTu7z.md @@ -1,4 +1,4 @@ -# AI Agents in AI-Assisted Coding +# AI Agents AI agents are autonomous programs designed to help developers write code more efficiently. These agents can automate repetitive tasks, suggest code completions, identify errors, and even generate entire code blocks based on natural language descriptions or existing code patterns. They leverage machine learning models to understand code syntax, semantics, and context, enabling them to provide intelligent and relevant assistance throughout the software development lifecycle. diff --git a/src/data/roadmaps/backend/content/mcp@mHnI19RgZ57XDEIDaHxD0.md b/src/data/roadmaps/backend/content/mcp@mHnI19RgZ57XDEIDaHxD0.md index d67ff180c..ad58e6642 100644 --- a/src/data/roadmaps/backend/content/mcp@mHnI19RgZ57XDEIDaHxD0.md +++ b/src/data/roadmaps/backend/content/mcp@mHnI19RgZ57XDEIDaHxD0.md @@ -4,9 +4,9 @@ Model Context Protocol (MCP) is a rulebook that tells an AI agent how to pack ba Visit the following resources to learn more: +- [@course@MCP: Build Rich-Context AI Apps with Anthropic](https://www.deeplearning.ai/short-courses/mcp-build-rich-context-ai-apps-with-anthropic/) - [@official@Model Context Protocol](https://modelcontextprotocol.io/introduction) - [@opensource@modelcontexprotocol](https://github.com/modelcontextprotocol/modelcontextprotocol) - [@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) -- [@course@MCP: Build Rich-Context AI Apps with Anthropic](https://www.deeplearning.ai/short-courses/mcp-build-rich-context-ai-apps-with-anthropic/) \ No newline at end of file +- [@article@Model Context Protocol (MCP): A Guide With Demo Project](https://www.datacamp.com/tutorial/mcp-model-context-protocol) \ No newline at end of file diff --git a/src/data/roadmaps/backend/content/skills@IWubGe3oquSj882QVnhLU.md b/src/data/roadmaps/backend/content/skills@IWubGe3oquSj882QVnhLU.md index d376df505..6eaf89dd4 100644 --- a/src/data/roadmaps/backend/content/skills@IWubGe3oquSj882QVnhLU.md +++ b/src/data/roadmaps/backend/content/skills@IWubGe3oquSj882QVnhLU.md @@ -1,4 +1,4 @@ -# Skills for AI Coding Assistants +# Skills AI coding assistants can now leverage "skills" – pre-defined functions or tools exposed to the AI that allow it to perform specific actions. Instead of relying solely on their internal knowledge and large language models, these assistants can call upon these skills (like running tests, deploying code, or querying databases) when needed. This allows the AI to interact with the development environment and execute tasks directly, improving accuracy and efficiency, all while minimizing the context window required for each action.