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    mega-itmo

    mega-itmo

    khrum-khrum January 29, 2026
    1 copies 0 downloads

    Mega Hackathon ITMO 2026, AI, Coding Agents

    Agent Definition
    # Final Project Report: AI-Powered SDLC Automation
    
    ## ITMO Megaschool 2026, "Coding Agents" Track
    
    ---
    
    ## Table of Contents
    
    1. [Project Overview](#project-overview)
    2. [Architecture and Technologies](#architecture-and-technologies)
    3. [Two Independent Agents](#two-independent-agents)
    4. [Operating Modes: CLI and Cloud Deployment](#operating-modes-cli-and-cloud-deployment)
    5. [GitHub Integration via Webhooks](#github-integration-via-webhooks)
    6. [Quality and Testing](#quality-and-testing)
    7. [Areas for Improvement](#areas-for-improvement)
    8. [Conclusion](#conclusion)
    
    ---
    
    ## Project Overview
    
    [Assignment Link](https://docs.google.com/document/d/1JIRdWHDSp1RsT7A0_wlADy_4lTHEg-DwoeIjSjB4MBo/edit?tab=t.0#heading=h.ess5k7fvs5zw)
    
    [Pitch Link](https://drive.google.com/file/d/1EbgpbNtI6KWY-YZNkeblTyDxq1YMztPB/view?usp=share_link)
    
    A full-featured automated Software Development Lifecycle (SDLC) system has been developed based on LangChain, capable of autonomously solving full development cycle tasks in GitHub:
    
    - **Issue Analysis** — understanding requirements and task context
    - **Autonomous Development** — exploring the codebase, making changes
    - **Pull Request Creation** — formatting and publishing changes
    - **Code Review** — automatic analysis and code quality verification
    - **Iterative Development** — processing feedback and improving the solution
    
    The system works with **any programming language** and can be connected to **any GitHub repository** via cloud deployment.
    
    ---
    
    ## Architecture and Technologies
    
    ### Technology Stack
    
    #### LangChain Framework
    The system is built on **LangChain** — a modern framework for creating agent systems:
    
    - **`create_tool_calling_agent`** — base agent architecture with tool calling support
    - **`AgentExecutor`** — agent execution orchestration with iteration management (up to 20 iterations for complex tasks)
    - **Custom Tools** — integration of custom tools via the `@tool` decorator
    - **OpenAI-compatible LLM Integration** — connectin

    Tags

    aiai-agentsclaude-codecoding-agentcursordockerdocker-composegithub-actionslangchain-pythonpython

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