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ctxeng
Build perfect LLM context from your codebase, auto.
Every developer using Claude or ChatGPT wastes time figuring out which files to paste in, hits token limits, and gets bad answers because the context was wrong. ctxeng fixes this automatically: → Scans your entire Python codebase → Scores every file using AST analysis + git recency → Fits the best files within any model's token window → Outputs ready-to-paste XML or Markdown pip install ctxeng — zero dependencies. MIT license.
“Build perfect LLM context from your codebase, auto.”
ctxeng was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #338 on the daily leaderboard. Every developer using Claude or ChatGPT wastes time figuring out which files to paste in, hits token limits, and gets bad answers because the context was wrong. ctxeng fixes this automatically: → Scans your entire Python codebase → Scores every file using AST analysis + git recency → Fits the best files within any model's token window → Outputs ready-to-paste XML or Markdown pip install ctxeng — zero dependencies. MIT license.
Who hunted ctxeng?
ctxeng was hunted by Abkari Mohammed Sayeem. 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.
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Abkari Mohammed Sayeem