{"id":140538,"date":"2025-09-03T13:37:24","date_gmt":"2025-09-03T13:37:24","guid":{"rendered":"https:\/\/ushopwell.com\/ublog\/guide-to-agentic-ai-build-a-python-coding-agent-with-gemini\/"},"modified":"2025-09-03T13:37:24","modified_gmt":"2025-09-03T13:37:24","slug":"guide-to-agentic-ai-build-a-python-coding-agent-with-gemini","status":"publish","type":"post","link":"https:\/\/ushopwell.com\/ublog\/guide-to-agentic-ai-build-a-python-coding-agent-with-gemini\/","title":{"rendered":"Guide to Agentic AI \u2013 Build a Python Coding Agent with Gemini"},"content":{"rendered":"<div class=\"youtubomatic-video-container\"><iframe loading=\"lazy\" width=\"580\" height=\"380\" src=\"https:\/\/www.youtube.com\/embed\/YtHdaXuOAks?autoplay=1&#038;controls=1&#038;hl=en\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<p>Build your own functional AI coding agent from the ground up using Python and the free Gemini Flash API. This project-based tutorial provides a deep understanding of how powerful AI tools work by guiding you through the creation of an agentic loop powered by tool calling. You will implement the core abilities for your agent to interact with and modify a codebase, including reading files, writing to files, and executing code to get feedback. <\/p>\n<p>Lane Wagner created this course.<\/p>\n<p>Check out the interactive version of the course on boot.dev: <a href=\"https:\/\/www.boot.dev\/courses\/build-ai-agent-python\" target=\"_blank\">https:\/\/www.boot.dev\/courses\/build-ai-agent-python<\/a><\/p>\n<p>\u2764\ufe0f Support for this channel comes from our friends at Scrimba \u2013 the coding platform that&#8217;s reinvented interactive learning: <a href=\"https:\/\/scrimba.com\/freecodecamp\" target=\"_blank\">https:\/\/scrimba.com\/freecodecamp<\/a><\/p>\n<p>\u2b50\ufe0f Contents \u2b50\ufe0f<br \/>\n&#8211; 00: 00: 00 Introduction<br \/>\n&#8211; 00: 01: 14 Why Build an AI Agent?<br \/>\n&#8211; 00: 01: 49 Course Overview &#038; What We&#8217;re Building<br \/>\n&#8211; 00: 02: 25 How to Follow Along<br \/>\n&#8211; 00: 03: 47 What is an AI Agent? (Agentic Loops &#038; Tool Calling)<br \/>\n&#8211; 00: 06: 03 The Agent&#8217;s Four Tools<br \/>\n&#8211; 00: 07: 58 Prerequisites &#038; Project Goals<br \/>\n&#8211; 00: 10: 08 Demo: Agentic vs. One-Shot Responses<br \/>\n&#8211; 00: 13: 07 Python Project Setup with UV<br \/>\n&#8211; 00: 15: 44 Getting Started with the Gemini API<br \/>\n&#8211; 00: 19: 21 Making Your First API Call<br \/>\n&#8211; 00: 24: 44 Accepting Command-Line Arguments<br \/>\n&#8211; 00: 27: 46 Managing Conversation History<br \/>\n&#8211; 00: 30: 39 Adding a Verbose Flag for Debugging<br \/>\n&#8211; 00: 33: 35 Setting Up the Project for Our Agent (Calculator App)<br \/>\n&#8211; 00: 36: 23 Building Tool #1: Get Files Info<br \/>\n&#8211; 00: 49: 39 Building Tool #2: Get File Content<br \/>\n&#8211; 00: 58: 24 Building Tool #3: Write File<br \/>\n&#8211; 01: 05: 26 Security Note: Dangers of Running AI-Generated Code<br \/>\n&#8211; 01: 07: 30 Building Tool #4: Run Python File<br \/>\n&#8211; 01: 18: 00 Understanding the System Prompt<br \/>\n&#8211; 01: 33: 10 How Tool Calling Works: Declaring Functions for the LLM<br \/>\n&#8211; 01: 41: 38 Adding All Function Declarations<br \/>\n&#8211; 01: 49: 19 Implementing the Function Calling Logic<br \/>\n&#8211; 01: 57: 30 Creating the Agentic Loop<br \/>\n&#8211; 02: 07: 11 Final Demo: Agent Fixes a Bug Autonomously<br \/>\n&#8211; 02: 13: 44 Conclusion &#038; Next Steps<\/p>\n<p>\ud83c\udf89 Thanks to our Champion and Sponsor supporters:<br \/>\n\ud83d\udc7e Drake Milly<br \/>\n\ud83d\udc7e Ulises Moralez<br \/>\n\ud83d\udc7e Goddard Tan<br \/>\n\ud83d\udc7e David MG<br \/>\n\ud83d\udc7e Matthew Springman<br \/>\n\ud83d\udc7e Claudio<br \/>\n\ud83d\udc7e Oscar R.<br \/>\n\ud83d\udc7e jedi-or-sith<br \/>\n\ud83d\udc7e Nattira Maneerat<br \/>\n\ud83d\udc7e Justin Hual<\/p>\n<p>&#8212;<\/p>\n<p>Learn to code for free and get a developer job: <a href=\"https:\/\/www.freecodecamp.org\" target=\"_blank\">https:\/\/www.freecodecamp.org<\/a><\/p>\n<p>Read hundreds of articles on programming: <a href=\"https:\/\/freecodecamp.org\/news\" target=\"_blank\">https:\/\/freecodecamp.org\/news<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Build your own functional AI coding agent from the ground up using Python and the free Gemini Flash API. This project-based tutorial provides a deep understanding of how powerful AI tools work by guiding you through the creation of an agentic loop powered by tool calling. You will implement the core abilities for your agent to interact with and modify a codebase, including reading files, writing to files, and executing&#8230;<\/p>\n","protected":false},"author":1,"featured_media":140539,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","tve_updated_post":"","tve_custom_css":"","tve_user_custom_css":"","tve_globals":{},"tcb2_ready":0,"tcb_editor_enabled":0,"tve_landing_page":"","_tve_header":"","_tve_footer":""},"categories":[1],"tags":[],"class_list":["post-140538","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Guide to Agentic AI \u2013 Build a Python Coding Agent with Gemini - UshopWell.com<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ushopwell.com\/ublog\/guide-to-agentic-ai-build-a-python-coding-agent-with-gemini\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Guide to Agentic AI \u2013 Build a Python Coding Agent with Gemini - UshopWell.com\" \/>\n<meta property=\"og:description\" content=\"Build your own functional AI coding agent from the ground up using Python and the free Gemini Flash API. This project-based tutorial provides a deep understanding of how powerful AI tools work by guiding you through the creation of an agentic loop powered by tool calling. 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