Overview
SuperCoder is an open-source autonomous system that combines an AI-native development platform and AI agents to enable fully autonomous software development, starting with the Python language and frameworks.
Key Features:
- SuperCoder 2.0 leverages LLMs and Large Action Models (LAMs) fine-tuned for Python code generation, leading to one-shot or few-shot Python functional coding with significantly higher accuracy across SWE-bench and Codebench.
- As an autonomous system, SuperCoder 2.0 combines software guardrails specific to development frameworks, starting with Flask and Django, with SuperAGI’s Generally Intelligent Developer Agents to deliver complex real-world software systems.
- SuperCoder 2.0 deeply integrates with existing developer stacks such as Jira, GitHub or GitLab, Jenkins, CSPs, and QA solutions like BrowserStack/Selenium Clouds to ensure a seamless software development experience.
Use Cases:
- A Bay Area fintech startup builds Customer360 with SuperCoder, achieving 3x faster project development.
- A mid-sized pharmaceutical company used SuperCoder to build a custom RAG software, saving $1.1M in cost.
- Enterprises have transformed their development processes through autonomous development solutions provided by SuperCoder 2.0.
Benefits:
- SuperCoder 2.0 saves time and cost by automating mundane development efforts, allowing developers to focus on high-level aspects.
- It ensures top-tier security and compliance, protecting intellectual property and data from AI-related misuse.
- SuperCoder 2.0 reimagines version control, PRs with human feedback, and issue tracking for an autonomous software development paradigm.
Capabilities
- Automates software development using AI agents and an AI-native development platform.
- Develops software autonomously using Python and related frameworks.
- Generates technical specifications for projects using WriteSpecTool.
- Writes test cases to meet project acceptance criteria using WriteTestTool.
- Generates codebase for projects using WriteCodeTool.
- Analyzes and improves code quality using ImproveCodeTool.
- Supports Flask and Django frameworks for backend development.
- Generates code for UI screens using ReactJS and NextJS in HTML, CSS, and JavaScript.
- Automates outreach, follow-ups, and meeting bookings with AI.
- Designs custom, high-impact creatives with AI.
- Analyzes conversations for trends using AI-native insights.
- Integrates with Jira, GitHub, and GitLab for version control and issue tracking.
- Utilizes Jenkins for continuous integration.
- Employs BrowserStack and Selenium for QA and testing.
- Creates and modifies code, tests the server, and creates pull requests.
- Examines open-source code, accesses tutorials, and gathers relevant data for effective coding via Google SERP Tool Integration.
- Integrates with Dall-E and GitHub tools for enriched functionalities.
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