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DevProjex
Build clean AI-ready context from real codebases
DevProjex turns real codebases into clean AI-ready context. Open a folder or clone a GitHub repo, select the files that matter, preview the output, and export tree, content, or both in ASCII/JSON. Use the desktop UI for visual control or the CLI for repeatable workflows. Open-source, read-only, no telemetry, cross-platform, with Smart Ignore,gitignore, Git branches, and local profiles.
Hi Product Hunt 👋
I’m Avazbek, the maker of DevProjex.
I built DevProjex because I often needed to give ChatGPT, Claude, or other AI tools a clean view of a real project — not a noisy dump of every file, and not endless manual copy-paste.
DevProjex helps you open a local folder or clone a GitHub repo, visually select the files that matter, preview the final output, and export the project tree, file contents, or both in ASCII/JSON.
A few things that make it different:
• read-only by design — it does not modify your files
• visual file/folder selection
• Smart Ignore + .gitignore support
• Git clone, branch switching, and updates through local cache
• preview before copy/export
• local project profiles
• cross-platform: Windows, macOS, Linux
• open-source, built with .NET 10 and Avalonia
It’s made for developers, students, mentors, and anyone who wants cleaner project context for AI chats, code reviews, documentation, or learning.
I’d love to hear your feedback, especially from people who work with AI coding tools regularly.
About DevProjex on Product Hunt
“Build clean AI-ready context from real codebases”
DevProjex was submitted on Product Hunt and earned 7 upvotes and 16 comments, placing #40 on the daily leaderboard. DevProjex turns real codebases into clean AI-ready context. Open a folder or clone a GitHub repo, select the files that matter, preview the output, and export tree, content, or both in ASCII/JSON. Use the desktop UI for visual control or the CLI for repeatable workflows. Open-source, read-only, no telemetry, cross-platform, with Smart Ignore,gitignore, Git branches, and local profiles.
On the analytics side, DevProjex competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how DevProjex performed against the three products that launched closest to it on the same day.
Who hunted DevProjex?
DevProjex was hunted by Avazbek Olimov. 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.
For a complete overview of DevProjex including community comment highlights and product details, visit the product overview.
Avazbek Olimov