ddiff: LLM-generated diff format for isolating feature sets in code
ddiff is a format for isolating feature sets in code using LLM-generated diffs. It works by prompting an LLM to produce a diff of analysis of intents and code changes related to specific features, which can then be used by another LLM to implement the feature natively. The creator provides a live chat to Telegram group and a markdown WYSIWYG editor with rich uploads.
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Upload project folder to get optimized markdown for LLM context
A web tool that lets users upload an entire project folder and receive a single, clean, optimized markdown file ready to paste into Claude or Codex. It solves the problem of manually preparing context for LLMs by automatically consolidating and formatting code files. All processing is done client-side for privacy.
Ditto: mine your own LLM coding sessions into a file for your agent
Ditto extracts only the user's typed messages from local Claude Code and Codex session logs, stripping tool output and assistant replies, and compiles them into a file that an AI agent can read first. It solves the problem of losing personal work patterns and context across many coding sessions, giving the agent a honest record of how the user actually works.
Chameleon shows Claude a real file from your repo before it edits
Chameleon is a tool that provides Claude with the actual content of a file from your repository before it makes edits. It solves the problem of Claude editing files without full context, helping developers get more accurate code modifications.
OneMind: per-project LLM memory via a single protocol file in git repos
OneMind is a concept for a protocol file (onemind.md) that, when placed in a git repository, enables per-project LLM memory by storing structured references and context. It aims to give LLMs persistent, project-specific memory without bloating the repo, solving the problem of LLMs lacking long-term context across sessions for developers.
Git-aware AI debugger that checks out old commits to fix production bugs
A tool that makes AI coding assistants (like Cursor or Claude Code) automatically checkout the git commit corresponding to a production error before debugging, preventing the agent from analyzing current code that has shifted. It solves the problem of AI agents hallucinating fixes because they look at the present state of files while the bug existed in a past commit.
