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TracesHub
Line-level AI attribution for your codebase
git has GitHub; agent-trace has TracesHub. An open-source CLI records which lines of your code were written by AI — which model, via which tool, and the prompt behind them. Deterministic, local-first, one ledger across Cursor, Claude Code, and other agents. Coding agents, when making new changes, use the CLI tool to surface context hidden behind lines of code.
Hey! I built this because git blame has quietly stopped telling the truth. It says I wrote a line that Cursor or Claude Code actually wrote, and the prompt that explains why is buried in some old chat.
So agent-trace records per-line AI attribution - which model, which tool, which conversation - at commit time. Local-first: hooks never touch the network; nothing leaves your machine unless you push, git-style.
The part that excited me most: agents can read that record too. I asked one to clean up "magic number" constants, and it stopped mid-task after pulling the original prompt. The numbers came from a support ticket, so they weren’t safe to delete. That felt like the future.
The CLI and service are open source / self-hostable, and TracesHub is the hosted option (think git → GitHub), free to use. I’m here all day, so ask me anything and I welcome your hard feedbacks including why this shouldn’t exist :)
About TracesHub on Product Hunt
“Line-level AI attribution for your codebase”
TracesHub was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #18 on the daily leaderboard. git has GitHub; agent-trace has TracesHub. An open-source CLI records which lines of your code were written by AI — which model, via which tool, and the prompt behind them. Deterministic, local-first, one ledger across Cursor, Claude Code, and other agents. Coding agents, when making new changes, use the CLI tool to surface context hidden behind lines of code.
On the analytics side, TracesHub competes within Software Engineering, Developer Tools, GitHub and Vibe coding — topics that collectively have 600.5k followers on Product Hunt. The dashboard above tracks how TracesHub performed against the three products that launched closest to it on the same day.
Who hunted TracesHub?
TracesHub was hunted by Ujjal Sharma. 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 TracesHub including community comment highlights and product details, visit the product overview.
Ujjal Sharma