SourceAI

Cody is a coding assistant powered by AI from Sourcegraph that seamlessly integrates into popular development environments to optimize programming workflows. By utilizing large language models and drawing context from your codebase, it offers intelligent code completion, addresses technical queries, generates and edits code, troubleshoots errors, and clarifies code modifications. Developers and engineering teams leverage Cody to enhance productivity, speed up onboarding, and elevate code quality while ensuring enterprise-level security, making it especially beneficial for those handling complex codebases who require context-aware assistance without interrupting their current workflow.

Open Lovable is an open-source AI-driven tool that enables users to instantly convert any website into a modern React application through natural language dialogue. By leveraging advanced language models from providers like Anthropic, OpenAI, Groq, and Gemini, developers can easily describe what they wish to clone or create, and the AI will generate the corresponding React code. The tool combines web scraping capabilities via Firecrawl with secure local execution using the E2B sandbox, allowing users to extract layouts and content from existing websites while maintaining full control over their code. Unlike proprietary alternatives, Open Lovable grants developers full rights to the generated code under the MIT license, requiring only payment for their own API usage and preserving privacy through local execution, making it ideal for web developers looking to accelerate development, prototype swiftly, or study the architecture of existing sites.

Panto AI is an AI-powered code review tool designed to automatically examine pull requests, offering real-time, detailed feedback on code quality, logical flaws, and security issues across over 30 programming languages. By integrating Panto AI, engineering teams can enhance their development process, lessen the time spent on manual reviews, adhere to security guidelines, and boost overall code quality. This enables developers to concentrate on tackling complex challenges, while the AI assistant manages routine code inspections and delivers actionable recommendations that support business goals.