llm-coder is an open-source, privacy-first AI website-builder powered by your browser.
ninja-bear is a tool that keeps language-specific configs in sync across distributed systems using a language-neutral YAML configuration.
AIaC is an Artificial Intelligence Infrastructure-as-Code Generator, providing community support and tools to streamline AI infrastructure setup.
This article explains how to provide context to GitHub Copilot Chat for better code suggestions and assistance. It covers techniques like highlighting code, using slash commands, leveraging workspace information, and specifying relevant files.
Cody is an AI coding assistant that uses advanced search and codebase context to help you understand, write, and fix code faster. It supports autocomplete, code generation, and explanation in various IDEs and code hosts.
Reworkd is a platform that simplifies web data extraction, using LLM code generation to help businesses scale their web data pipelines. No coding skills required.
Mistral AI unveils Codestral, their first AI model for code generation. The model aids developers with coding tasks, supports multiple programming languages, and integrates with popular development environments.
Glenn Engstrand shares his experience using Large Language Models (LLMs) for improving developer productivity by generating unit tests for an already coded web service. The article discusses the experiment, results, and potential future implications for the adoption of LLMs in the software development industry.
An in-depth guide about Mistral 7B, a 7-billion-parameter language model released by Mistral AI. This guide includes an introduction to the model, its capabilities, code generation, limitations, guardrails, and enforcing guardrails. It also covers applications, papers, and additional reading materials related to Mistral 7B and finetuned models.
