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Most PR tools review the diff in isolation. MergeProtect builds a call graph of your whole codebase and works from impact. - Reviews each PR against the functions, routes, and DB models it actually affects downstream. - Generates tests (property, boundary, contract, mutation) scoped to the impacted code, with LLM self-healing. - Runs k6 smoke tests on impacted API routes to catch latency regression. - Sandboxed execution, PR-gating GitHub Action, optional prod traffic capture.
Hey Product Hunt
Honest confession: I get anxiety every time I hit merge.
Since I started shipping with AI coding tools, PRs aren't 20-line diffs anymore — they're 800-line sprawls that touch six files I didn't ask them to touch. I read through, things look fine, tests pass,
CI is green. But I have no idea what this is actually going to break three calls downstream.
That's the gap I wanted to close: AI writes the code in minutes, but understanding what it impacts still takes hours, and most teams just skip that part and pray.
MergeProtect parses your whole codebase into a call graph (functions, routes, DB models, the edges between them). When a PR opens, human-authored or vibe-coded, it traces the blast radius from the changed nodes, reviews the PR in the context of what those changes actually affect downstream, generates tests scoped to the impacted code, and runs a k6 smoke test on any affected API routes. All before merge, all sandboxed.
What's in the box:
- Intent-aware PR review:- comments cite the downstream functions, routes, and DB models a change affects, not just the lines that moved
- Risk score (0–10):- composite signal from blast radius, test coverage of impacted nodes, change complexity, and historical hotspots, so you know where to actually look in a 40-file AI-generated PR
- Impact graph visualization:- live dashboard view of the call graph with changed and impacted nodes highlighted, so you can see the blast radius.
- AI-generated tests, 10 techniques:- property-based, boundary, mutation, contract, fuzz, and more scoped to impacted code, with a self-healing repair loop that fixes failing generations via LLM.
- Performance smoke tests:- k6 scripts auto-generated for impacted API routes (5 VU / 30s), so latency regressions surface pre-merge.
- Production traffic capture:- a pip-installable ASGI middleware streams real request shapes back into test generation, so tests match how the API is actually called.
- Sandboxed execution:- Docker sandbox with hard CPU, memory, FS, and process limits — not on your CI runners, not against your prod.
- GitHub-native:- webhook-triggered, auto PR comments, and a Composite Action that gates merge if risk crosses your threshold.
Would love to hear from anyone else feeling this, what's your pre-merge ritual now that your PRs are AI-written?
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About MergeProtect on Product Hunt
“AI review and tests for every pull request.”
MergeProtect was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #137 on the daily leaderboard. Most PR tools review the diff in isolation. MergeProtect builds a call graph of your whole codebase and works from impact. - Reviews each PR against the functions, routes, and DB models it actually affects downstream. - Generates tests (property, boundary, contract, mutation) scoped to the impacted code, with LLM self-healing. - Runs k6 smoke tests on impacted API routes to catch latency regression. - Sandboxed execution, PR-gating GitHub Action, optional prod traffic capture.
MergeProtect was featured in Developer Tools (515.5k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 205.2k products, making this a competitive space to launch in.
Who hunted MergeProtect?
MergeProtect was hunted by Prateek Saxena. 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.
Want to see how MergeProtect stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Prateek Saxena