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Context Goblin
The quality check for AI-built software
An AI code reviewer with a senior engineer's memory of your codebase. It knows who calls what and which service depends on it, so it reviews the change, not just the diff.
Context Goblin started as an internal tool. Coding agents produce far more code
than anyone can review by hand, and every reviewer we tried read the diff without
reading what depends on it.
What's in it today:
- Call graph per repo, so it reviews the change against its real callers
- Cross-repo map: routes, queues, shared tables and packages between your services
- Customizable review agents for your specific needs
- Bring your own MCP servers for ticket and org-specific context
- GitHub App
Happy to answer anything about how the context pipeline works.
About Context Goblin on Product Hunt
“The quality check for AI-built software”
Context Goblin was submitted on Product Hunt and earned 11 upvotes and 3 comments, placing #14 on the daily leaderboard. An AI code reviewer with a senior engineer's memory of your codebase. It knows who calls what and which service depends on it, so it reviews the change, not just the diff.
On the analytics side, Context Goblin competes within Software Engineering and GitHub — topics that collectively have 84.4k followers on Product Hunt. The dashboard above tracks how Context Goblin performed against the three products that launched closest to it on the same day.
Who hunted Context Goblin?
Context Goblin was hunted by Clemens Losbichler. 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.
Clemens Losbichler