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RepoRose
Start new claude chat with full context without using tokens
One small file. Total context for your AI agent. RepoRose generates structured codebase maps that cut tokens by ~90% and stop your AI from re-reading the repo whenever you start a new chat.
If you keep 1 Claude or any other agentic coding session too long, it starts halucinating and starts making more and more mistakes
If you start a new chat, it will spend lots of tokens trying to read files and folder structure trying to regain context. Even then, with only the parts it had read will make mistakes.
My tool solves the problem, My tool summarizes the code into a 3d json context file.
It has the complete code-base, with descriptions, and dependencins,
The AI can just look at this 1 file and it will know what the project is about, how it is structured, how to modify it, and where will I find the code that I need to change
and also most importantly, if I change it,, what other files might get effected because they are using it too
It will then proceed to read the exact file it needs to read and impliment the changes, without blidly looking here and there trying to understand the structure and wasting tokens in output thinking and input file reading tokens
Try it out using
npm i -g reporose
cd project/root
reporose analyze
you may optionally do
reporose serve
to view the map
but this is just for you and not the AI
for the descriptions
you can use Ollama cloud,
go to https://ollama.com/ and get a free api key
it will use it to generate small descriptions of the file so claude knows exactly what file does what
It also supports local ai, claude and open ai api, groq api and no ai descriptions mode
pssst
Show love by giving me a star on my repo
https://github.com/MIbrahimPro/R...
Thank you so much!!!
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About RepoRose on Product Hunt
“Start new claude chat with full context without using tokens”
RepoRose was submitted on Product Hunt and earned 9 upvotes and 3 comments, placing #22 on the daily leaderboard. One small file. Total context for your AI agent. RepoRose generates structured codebase maps that cut tokens by ~90% and stop your AI from re-reading the repo whenever you start a new chat.
RepoRose was featured in Developer Tools (511.7k followers), GitHub (41.2k followers) and Vibe coding (425 followers) on Product Hunt. Together, these topics include over 88k products, making this a competitive space to launch in.
Who hunted RepoRose?
RepoRose was hunted by Muhammad Ibrahim. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how RepoRose stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Muhammad Ibrahim