Sigilix
AI agents that truly understand your codebase
Sigilix runs its own AI models grounded in your repositories, dependency graph, and your team's review history — so a terminal coding agent, code review, deep-research chat, and Slack/Linear agents actually know your codebase instead of guessing from the diff. Grounding cuts token cost ~70% and gets sharper the more your team uses it. Connect GitHub or GitLab to start. Free tier included; paid plans scale usage.
Features
• Our own models, grounded in your indexed repo + dependency graph + team review history
Use Cases
Engineering teams use Sigilix to review every PR/MR with an AI that knows the surrounding codebase — catching real issues (broken callers, security gaps, missing tests) instead of surface nits. Individual developers use the grounded terminal agent to ask about and change code with the repo's real context, and the deep-research chat to reason across code, connected apps, and the web. Eng leads & platform teams use the org-wide agents (Slack, Linear, CI) to automate triage and answers with shared knowledge of the codebase, plus usage and review analytics. Best for teams on GitHub or GitLab who want AI that understands their specific system, not generic autocomplete.
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