Have you guys come across any AI copilot that can answer complex questions about your codebase?

While developing our code vulnerability triage tool, I tried out various AI copilots to assist with coding and security analysis. I noticed a recurring challenge: most of these copilots struggled to handle questions that required multi-file analysis. 🤔 When working with large codebases, many insights can’t be drawn from single files alone. You need an AI that can reason across files, track dependencies, and understand the bigger picture of your code architecture. That's where traditional AI copilots often fell short. So, we set out to create an AI copilot that’s built for multi-file, multi-context analysis – an assistant that thinks beyond isolated snippets. Our solution (powered by our https://turingmind.ai engine) can dive deep into code repositories, making it ideal for: Developer onboarding 🚀 – Getting up to speed with a new codebase fast. Vulnerability triage 🔐 – Identifying and understanding security flaws across files. Code reasoning and documentation 📄 – Helping teams understand complex dependencies and relationships between modules. Our goal is to build a copilot that goes beyond answering questions about isolated code, focusing instead on holistic, accurate responses that span across your entire repository. This journey taught us the power of multi-file reasoning and how crucial it is for AI copilots to adapt to the real-world needs of developers. We’re looking forward to your feedback and hope TuringMind can help other teams and developers tackle complex code challenges! Check it out, and let us know what you think! 😊