Sherpa Coder brings the powerful capabilities of OpenAI's assistants right into your VS Code environment. It enhances your coding experience with features like context-aware suggestions, custom assistants, and secure integration. Whether you're coding or solving complex equations, Sherpa Coder helps streamline your workflow with smooth chats, intelligent code highlighting, and local conversation management. Ideal for developers looking to boost productivity and streamline coding with the aid of AI.

Sidekick integrates AI directly into your browser to assist with coding tasks across any web-based IDE or documentation site. Highlight code or text to receive instant explanations, generate code snippets, and access library references. Use the built-in chat widget to ask follow-up questions or request improvements. Sidekick maintains context across pages, so you can continue a session while browsing multiple resources. It also offers snippet management to save and reuse generated code, boosting productivity and reducing context switching.

The Copilot Extension for Groq transforms how developers write Groq queries by embedding GitHub Copilot’s AI capabilities directly into VS Code. Once installed, the extension recognizes .groq files and activates Copilot suggestion windows, offering context-aware autocompletion for Groq filters, projections, and ordering clauses. It analyzes the current schema context and previous code to generate precise query snippets, reducing manual syntax lookup. Developers can accept, cycle through, or tweak suggestions inline, accelerating development of complex data queries for Sanity CMS. With support for inline documentation hints and real-time pattern recommendations, this extension streamlines query prototyping, debugging, and optimization, enabling teams to focus on application logic instead of Groq syntax intricacies.

Python-Assistant is an AI-driven command-line assistant built in Python that integrates with the OpenAI API to deliver intelligent code support. It enables developers to submit natural language queries, receive contextually relevant code snippets, and execute Python scripts directly within the chat interface. The agent retains memory of previous interactions, allowing follow-up questions and coherent multi-step debugging sessions. Plugin architecture permits custom extensions like linting, testing, and documentation generation. By combining conversational AI with script execution, Python-Assistant empowers developers to prototype rapidly, refactor existing codebases, and learn Python concepts interactively without leaving the terminal environment.