A professional software development ecosystem powered by a Swarm of specialized AI agents. This assistant streamlines the entire development lifecycle—from architectural planning and subtask decomposition to implementation and rigorous code review.
The assistant coordinates three high-level autonomous agents:
-
Planner Agent:
- Analyzes the development requirement.
- Suggests a modern tech stack.
- Breaks the project into actionable, prioritized subtasks.
-
Code Generator:
- Implements specific subtasks chosen by the user.
- Generates clean, well-commented code.
- Provides a contextual explanation for the architectural choices.
-
Code Reviewer:
- Performs an adversarial review of the generated code.
- Identifies potential bugs, performance bottlenecks, and security risks.
- Suggests optimizations following industry best practices.
- Decomposition: Automatically turns vague requirements into concrete engineering plans.
- Dual-Model Logic: Uses GPT-4o for both planning and high-fidelity code generation.
- Adversarial Review: Ensures code quality through a separate reviewer persona.
- Context-Aware Implementations: The coder agent respects the tech stack suggested by the planner.
- User-in-the-Loop: Users select which subtasks to implement, maintaining control of the build.
- Model: OpenAI GPT-4o
- Framework: OpenAI Swarm-based Runner architecture
- Data Validation: Pydantic (Structured JSON Output)
- UI: Streamlit
- Environment Setup:
Ensure
OPENAI_API_KEYis available in your shell or script. - Launch Assistant:
streamlit run coding_agent.py
- Start Building:
- Enter your feature request (e.g., "Build a React dashboard for monitoring solar panels").
- Review the generated plan.
- Select tasks to implement and review the code.
Empowering Developers with Autonomous Engineering Agents