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debugai
Every tool sees errors. Only debugai knows your codebase.
Most AI tools promise codebase awareness but can't afford it. Sending your whole codebase to the model on every error costs too much, so they grep and guess. DebugAI indexes your project once, re-indexes only what you edit, then traces errors across your real imports and call chains to the file that broke. Root cause + 3 ranked fixes in seconds. No re-explaining, no token bonfire. MCP native, so your AI agent calls it directly too. 900+ installs. Free tier, no card.
Hey PH 👋 I'm Mohi, solo founder of DebugAI.
Built this out of pure frustration. Every time I hit a token limit and switched AI tools, I had to re-explain my whole codebase. And pasting the codebase in to give context? Hit the limit there too.
Here's what nobody admits: lots of tools promise "codebase awareness." But sending your whole codebase to the model on every error costs too much, so they don't. They grep and bash around and hope they find the right file. That's not knowing your codebase. That's guessing cheaply.
DebugAI indexes your project once, upfront. Edit a file and it only re-indexes what changed, not the whole codebase again. So when an error hits, it already knows the real path across your imports and call chains, straight to the file that broke. Root cause, 3 ranked fixes, in seconds. No re-explaining. No token bonfire.
And it's MCP native. Inside VS Code, your AI agent (Claude Code, Cursor, Codex) calls DebugAI directly and gets the fixes, so the agent stops burning tokens too. Standalone npm package coming soon so it works outside the editor too.
900+ installs in beta. Works in VS Code, Cursor, Windsurf or any agent you use..
Free: 10 sessions/day, no card. Pro $12/mo (founding rate $9/mo for life before Sept 1).
Next up: the invisible bugs nobody catches. The button that silently fails, the 404 your app swallows, the error that never throws. We're building capture for those next.
Try it and tell me what you actually think, good or bad 🙏
About debugai on Product Hunt
“Every tool sees errors. Only debugai knows your codebase.”
debugai was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #105 on the daily leaderboard. Most AI tools promise codebase awareness but can't afford it. Sending your whole codebase to the model on every error costs too much, so they grep and guess. DebugAI indexes your project once, re-indexes only what you edit, then traces errors across your real imports and call chains to the file that broke. Root cause + 3 ranked fixes in seconds. No re-explaining, no token bonfire. MCP native, so your AI agent calls it directly too. 900+ installs. Free tier, no card.
On the analytics side, debugai competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how debugai performed against the three products that launched closest to it on the same day.
Who hunted debugai?
debugai was hunted by Mohi Uddin. 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 debugai including community comment highlights and product details, visit the product overview.
Mohi Uddin