Hey everyone — Daniel here, founder of Sigilix. We built Sigilix because AI is making it easier to write code, but harder to know what code is actually safe to ship. Most AI coding tools start from the prompt. Sigilix starts from the repo. When a team installs Sigilix on GitHub, we index the codebase and build a private memory layer from PR reviews, developer feedback, CLI sessions, repo chat, and bug fixes. That memory then powers our PR reviewer, CLI agent, chat, triage workflows, and our Empyrean model line, starting with Boreas. The goal is simple: help engineering teams trust AI-assisted software development by grounding every review, fix, and decision in real codebase context. We’re currently looking for design partners who want to test Sigilix on real workflows, especially teams dealing with noisy PR review, expensive AI coding sessions, or tools that forget too much context. Would love feedback, questions, or intros to engineering teams that feel this pain.

Sigilix

Let AI map your codebase first for cheaper safer coding tool

Let AI map your codebase first for cheaper safer coding tool