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coding_AI\n\n📍 Repo map:\n\n* [anthropic_skilljar](https://github.com/dejanu/ai-powered-coding-playbook/blob/main/anthropic_skilljar/notes.md) resources\n* [mcp demos](https://github.com/dejanu/ai-powered-coding-playbook/blob/main/mcp/notes.md) resources\n\n📍 AI-enabled repo [taskapp](https://github.com/dejanu/taskapp)\n\n## Papers\n* [On the Opportunities and Risks of Foundation Models](https://arxiv.org/pdf/2108.07258)\n* [Attention Is All You Need](https://arxiv.org/abs/1706.03762)\n* [Improving Language Understanding by Generative Pre-Training](https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf)\n* [Evaluating Large Language Models Trained on Code](https://arxiv.org/abs/2107.03374): Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities.\n* [Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle](https://arxiv.org/abs/2306.15033)\n* [PREDICTING EXPERT EVALUATIONS IN SOFTWARE CODE\nREVIEWS](https://arxiv.org/pdf/2409.15152): An algorithmic model that automates aspects of code review typically avoided due to their complexity\nor subjectivity, such as assessing coding time, implementation time, and code complexity.\n* [ReAct: Synergizing Reasoning](https://arxiv.org/abs/2210.03629)\n\n---\n\n## AI powered coding assistants:\n\nVanilla [Visual Studio Code] is built on top of Electron and benefits from all the networking stack capabilities of Chromium. \nIf your IDE is behind a proxy, check [Network Connections in Visual Studio Code](https://code.visualstudio.com/docs/setup/network).\n\n[GitHub Copilot in Visual Studio Code](https://code.visualstudio.com/docs/copilot/reference/copilot-vscode-features): Powered by OpenAI Codex to work in real time, Codex is a GPT (more precisely a descendant of GPT-3) language model fine-tuned on publicly available code from GitHub.\n\n[Cursor](https://cursor.com/) VSCode fork by Anysphere. Cursor [best practices](https://cursor.com/blog/agent-best-practices)\n\nInstall [Gemini Code in GitHub](https://developers.google.com/gemini-code-assist/docs/set-up-code-assist-github#install-gemini-code-assist) as code reviewer. After creation, Gemini Code Assist provides suggestions to your code review every time the pull request author or other human reviewers add comments with the `/gemini` tag on the pull request\n\n## Terminology:\n\n **Context** is everything: \n    \n    Add files to chat aka `Mentions` via `#` (indexing and RAG search).\n    Add `chat participants` `@` (routes the question to the right agent or tool i.e. `@workspace how auth is implemented?` or `@terminal find the largest file in the src directory`)\n\n* **Agents** autonomous session that follows the agentic loop of `undestand-\u003eact-\u003evalidate`\n\n* **Tools** are the specific functions or capabilities that agents can utilize to perform their tasks, such as asking questions, accessing APIs, reading files, searching the web, or executing commands.\n\n* **Skills** playbooks/procedures for agents with step-by-step instructions on how to use tools to accomplish specific tasks, such as code review, debugging\n\n* **Mentions** : type `@` in the chat input to attach specific context to your prompt. Start typing after `@` and Cursor shows matching suggestions.\n\n```\n# participants\n@vscode how can I change key bindings\n@terminal find the largest file in the src directory\n```\n\n## Agent examples in this repo\n\n* [Reviewer](.github/agents/reviewer.agent.md): Review code for quality and adherence to best practices.\n\n\n## Resources\n\n\n* [Copilot-cheatsheet](https://docs.github.com/en/copilot/reference/cheat-sheet?tool=vscode)\n* [Cursor keyboard shortcuts](https://cursor.com/docs/reference/keyboard-shortcuts)\n* [Instruction Files](https://code.visualstudio.com/docs/copilot/customization/custom-instructions)\n* [Chat Cookbook](https://docs.github.com/en/copilot/tutorials/copilot-chat-cookbook)\n* [MCP](https://modelcontextprotocol.io/docs/getting-started/intro)\n* [Prompt-cheatsheet](https://github.com/dejanu/coding_AI/blob/main/prompts/prompt-cheatsheet.md)\n* [Google's AI tools](https://cloud.google.com/use-cases/free-ai-tools#overview)\n\n---\n\n# AI Tools\n\n* Mathematical reasoning engine [Harmonic](https://harmonic.fun/)\n* [Agent Skills](https://agentskills.io/home) (open standard)\n* AI-powered research assistant [Undermind](https://www.undermind.ai/)\n* LLM benchmarking [LiveBench](https://livebench.ai/#/?highunseenbias=true)\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdejanu%2Fai-powered-coding-playbook","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdejanu%2Fai-powered-coding-playbook","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdejanu%2Fai-powered-coding-playbook/lists"}