RaptorCI
Hello! With more and more AI coding agents popping up and companies expecting higher output have you noticed more issues in production or other bottlenecks? I’m a principal engineer at a leading cybersecurity company and we have a very lean engineering team and the expectations have shifted to us using AI to increase productivity instead of hiring. The result has been production becoming the most unstable it has ever been and bottlenecks around testing and releasing as we don’t have the resources to cope. I spent a few weeks of thinking of ways that AI could help our full SDLC and one thing…
RaptorCI launched on April 9, 2026 with 99 votes, #411 of 21,248 launches that month and more than 95% of that year's launches.
What it does
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 reviews pull requests for deployment risk, flags risky changes, and highlights test gaps before they ship.
In the maker’s words, at launch
Hello! With more and more AI coding agents popping up and companies expecting higher output have you noticed more issues in production or other bottlenecks? I’m a principal engineer at a leading cybersecurity company and we have a very lean engineering team and the expectations have shifted to us using AI to increase…
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