Code2prompt is a command line tool that converts a codebase into a single LLM prompt. It includes source tree representation, prompt templating functionality, and token counting capabilities. Installation options include Cargo, Homebrew, and a pip SDK.
Localforge is a free, open-source desktop GUI for Codex AI, Claude and other LLMs. It runs locally and lets autonomous agent loops edit files, run tests and work on large multi-file codebase tasks. It supports swapping providers and storing prompt templates, and is distributed under the MIT license.
Kombai is an AI design engineer that designs websites and product UIs and ships production-ready frontend code. It offers a browser tool for editing rendered UI and sending browser context to prompts, reuse of components, tokens and hooks from repos, npm and Storybook, and a choice of 50+ models.
Havoptic tracks releases and changelogs for AI coding tools including Claude Code, Cursor, Codex CLI and Gemini CLI, summarizing each release in plain English with full version history and daily updates. A public API and MCP server documentation provide access to release data, cadence stats and feature comparisons without authentication.
ChatWithCloud is an AWS natural language CLI that lets users ask questions about their AWS account in plain English from the terminal. It turns questions into AWS API calls against the account, covering cost analysis, IAM audits and troubleshooting, and it can make infrastructure changes. The first 15 runs are free.
An article presenting initial impressions of DSPy, a framework developed by the Stanford NLP group for algorithmically optimizing language model prompts. The author describes DSPy as closing the loop of prompt engineering by turning a manual process into a structured machine learning workflow. The piece notes it is not a substitute for the official documentation and covers topics such as teleprompter, optimization, compile, bootstrapping and metric functions.
Alpaca 7B is a model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. In a preliminary evaluation of single-turn instruction following, it behaved qualitatively similarly to OpenAI's text-davinci-003 while being small and cheap to reproduce.
Community notes
Be the first to share how this project worked for you.
Sign in with a verified account to leave a review or join the discussion.
Sign in to reviewKeep exploring
Localforge is a free, open-source desktop GUI for Codex AI, Claude and other LLMs. It runs locally and lets autonomous agent loops edit files, run tests and work on large multi-file codebase tasks. It supports swapping providers and storing prompt templates, and is distributed under the MIT license.
Kombai is an AI design engineer that designs websites and product UIs and ships production-ready frontend code. It offers a browser tool for editing rendered UI and sending browser context to prompts, reuse of components, tokens and hooks from repos, npm and Storybook, and a choice of 50+ models.
Havoptic tracks releases and changelogs for AI coding tools including Claude Code, Cursor, Codex CLI and Gemini CLI, summarizing each release in plain English with full version history and daily updates. A public API and MCP server documentation provide access to release data, cadence stats and feature comparisons without authentication.
ChatWithCloud is an AWS natural language CLI that lets users ask questions about their AWS account in plain English from the terminal. It turns questions into AWS API calls against the account, covering cost analysis, IAM audits and troubleshooting, and it can make infrastructure changes. The first 15 runs are free.
An article presenting initial impressions of DSPy, a framework developed by the Stanford NLP group for algorithmically optimizing language model prompts. The author describes DSPy as closing the loop of prompt engineering by turning a manual process into a structured machine learning workflow. The piece notes it is not a substitute for the official documentation and covers topics such as teleprompter, optimization, compile, bootstrapping and metric functions.
Alpaca 7B is a model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. In a preliminary evaluation of single-turn instruction following, it behaved qualitatively similarly to OpenAI's text-davinci-003 while being small and cheap to reproduce.
