Launching today
RaptorCI
Catch risky code changes and weak tests before they ship
33 followers
Catch risky code changes and weak tests before they ship
33 followers
RaptorCI focuses on risk, not output. While most tools generate comments, rules, or pass/fail checks, they don’t show what could actually break. RaptorCI analyses pull requests to identify high-impact changes, explains their potential impact, and gives a clear signal of how safe a change is to ship. Built after seeing risky changes repeatedly slip through review in production systems, it’s already being used by teams reviewing real pull requests and iterating quickly based on feedback.
RaptorCI
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RaptorCI
@curiouskitty Great question!
Right now it’s a combination of deterministic signals and structured analysis, not purely AI-driven. We look at things like sensitive paths (auth, config, env usage), change context, and gaps like missing related test updates to flag higher-impact changes.
The AI is used to explain and structure the output, but it doesn’t drive the core scoring.
On the “small diff but high risk” problem, that’s exactly why we don’t rely on size. A single-line change in the wrong place (e.g. auth or config) is weighted heavily based on where it touches, not how big it is.
Longer term, we’re looking at incorporating repo-specific signals (like hotspots and patterns over time), but keeping the system predictable and hard to game is a key focus.
ProdShort
For now we review PR manually with humans, how can this help us? Does it replace the work done or make it safe by adding some comments?
RaptorCI
@bengeekly This right now does not replace humans at all! The idea is to simply highlight at line level where we see issues and then advise on how best we think it should be solved and even an ai prompt that can be pasted in that will help to verify our finding and remediate.
In future iterations you will be able to use RaptorCI as an actually reviewer and approve PRs if you have that much trust in it.
Our roadmap has a lot of exciting additions that would make this a powerful CI/CD tool that will be able to deploy, and through integrations, monitor and rollback deployments to the last safe deployment, alerting the engineers on what was discovered and ways to resolve.
RaptorCI
@hex_miller_bakewell Thanks, really appreciate it!
I totally understand, I have worked in highly regulated industries in the past.
RaptorCI only analyses pull request data and doesn’t use customer code for training. We’re working towards more formal enterprise-friendly controls (including data handling and security documentation), and happy to discuss NDAs or specific requirements if helpful.
Feel free to reach out directly (hello@getraptorci.com) and I can go through your requirements and setup!
Hey Jordan, excited to try this out! Do you have a support email? Having some billing/activation troubles. Thanks!
RaptorCI
@twtechnology Hi Tyler, sorry that you're having activation issues! Our email is hello@getrapterci.com
RaptorCI
Something I have been wondering but would to get a wider take: "Do you trust AI in code reviews yet, or still skeptical? What would give you the confidence to rely on it?"