Built a Python Coding Agent using Gemini (Agentic AI)

I’ve been exploring agent-based AI systems and built a simple coding agent that can autonomously read, write, and execute Python code using tool/function calling.

💡 Unlike traditional chat-based AI, this agent follows an iterative loop: Think → Decide → Act (tool call) → Observe → Repeat

🔧 What it can do: • Explore project files (read directory & file contents) • Modify or generate Python scripts • Execute code and capture errors • Iteratively fix issues until the task is complete

⚙️ Workflow:

1. User provides a task (e.g., fix a bug / build a script)
2. LLM analyzes and selects an appropriate tool
3. Agent performs action (read/write/run code)
4. Output is evaluated and fed back to the model
5. The loop continues until a working solution is achieved

🧠 Key concept: This is not just an LLM response system — it’s an agentic loop where the model uses tools to solve problems step by step.

🔗 GitHub Repo: https://github.com/valeeswarank/Py-AiAgent

A real-world proof of concept demonstrating how AI-driven developer assistants and automation systems can be applied to DevOps and risk analytics.

#AI #AgenticAI #Python #GenerativeAI #Automation #LLM #SoftwareEngineering