Storia AI

With AI increasingly automating away code generation, software engineers will spend more time reading, judging, and architecting code rather than writing it. Storia is building an open-source copilot that knows a company's codebase and its context.

We are starting with Sage, a Perplexity-like agent for helping developers understand, judge, and generate software. Given an existing codebase, developers can ask Sage questions such as:

1) Given my project’s SLA and latency constraints, what is the appropriate underlying vector database to use? How would I incorporate it into my existing codebase?

2) Why should I pick Redis over Milvus as my underlying vector store?

3) Does this codebase in our organization still work and what steps are required for a complex integration with another library?

Sage’s answers are directly supported by documentation and external references like GitHub, Stack Overflow, technical design documents, and project management software, preventing hallucinations. Today, Sage has up-to-date knowledge about open-source repositories (indexed daily). Tomorrow it will have a deep understanding of every line of code on the Internet. For teams, Sage will know about your private codebase too.

No group has yet solved how to build an AI system that comprehends a codebase and its context and can empower every developer to architect better code, faster. This requires new research advances because vanilla RAG and out-of-the-box LLMs aren’t going to cut it.

We have 20+ years of software engineering and AI research experience. Julia worked on precursors of Gemini using contextual neural techniques before they were called “RAG” (and applied it to products like Google Keyboard and Pixel phones). Mihail built the earliest LLMs at Amazon Alexa and launched the first contextual deep learning conversational AI system in production at Alexa.

High-Level Overview

Storia AI is an open-source AI copilot designed to deeply understand a company's entire codebase and its context, helping developers analyze, understand, and generate software more efficiently. Its flagship product, Sage, acts as a contextual AI pair programmer that enables developers to ask complex questions about code, speeding up software development and improving productivity by focusing on code comprehension and architecture rather than just writing code. The company serves software development teams and enterprises aiming to enhance developer productivity and code quality through advanced AI tools. Storia AI addresses the growing challenge developers face spending more time reading and evaluating code than writing it, aiming to make developers up to 10x more productive[2][4][6].

Origin Story

Founded in 2023 in Millbrae, California, by Mihail Eric and Julia Turc, Storia AI emerged from the founders' extensive backgrounds in AI research and software engineering. Mihail Eric, with over 12 years of experience, contributed to early deep learning dialogue models at Stanford NLP Group and the first large language models at Amazon Alexa. Julia Turc also has deep expertise in contextual neural techniques applied to major products like Google Keyboard and Pixel phones. Their combined 20+ years of experience in AI and software development laid the foundation for Storia AI’s mission to revolutionize software development workflows by leveraging advanced AI techniques such as Retrieval-Augmented Generation (RAG)[2][4][6].

Core Differentiators

• Product Differentiators: Sage is an open-source AI copilot that understands not just isolated code snippets but the entire codebase context, enabling more accurate and relevant assistance.
• Developer Experience: It provides a chat-oriented interface allowing developers to query and interact with their codebase naturally, improving comprehension and reducing time spent on code navigation.
• Advanced AI Techniques: Built on state-of-the-art AI research in large language models, dialogue systems, and RAG, enabling multi-agent collaboration for tasks like code generation, security review, testing, and documentation.
• Enterprise Integration: Focus on supporting enterprise needs with integrations for GitHub, AWS Bedrock, and other cloud services to fit into existing developer workflows.
• Open Source: The open-source nature encourages community contributions and transparency, fostering a collaborative ecosystem around AI-assisted coding[2][4][6].

Role in the Broader Tech Landscape

Storia AI rides the wave of AI-driven automation in software development, addressing the shift where developers spend more time understanding and architecting code than writing it. The timing is critical as AI models have matured to a point where they can handle complex contextual understanding of large codebases. Market forces such as the increasing complexity of software, demand for faster development cycles, and the rise of AI-assisted tools favor Storia AI’s approach. By enabling developers to be more productive and creative, Storia AI influences the broader ecosystem by setting new standards for AI integration in coding workflows and pushing forward the concept of AI as a collaborative partner rather than just a tool[2][4][6].

Quick Take & Future Outlook

Looking ahead, Storia AI aims to deepen its universal code understanding capabilities, potentially encompassing every line of publicly available code. Its roadmap includes enhanced enterprise features and multi-agent AI collaboration frameworks that go beyond simple Q&A to proactive task management. As AI continues to evolve, Storia AI’s influence is likely to grow, shaping how software is developed by making AI an indispensable partner in coding. This evolution will be driven by trends in AI research, developer demand for productivity tools, and enterprise adoption of AI-assisted development. Storia AI’s open-source model and strong technical foundation position it well to lead in this transformative era[2][4][6].