Enola-A deterministic architecture graph for developers and AI agents
Together with a friend, we were developing a golf application. Our codebase grew rapidly and became split between multiple repositories: the iOS app, Android app, backend, front-end, and extra tooling. Both of us also work in larger scale-ups, and we saw the same problem: understanding large distributed codebases becomes progressively harder. Yay for microservices. It takes time to understand and answer questions like: - What calls this function? - What is the impact of changing this interface? - Is this code actually reachable and used? Not a secret that both of us embrace the leverage AI…
Enola-A deterministic architecture graph for developers and AI agents launched on July 2, 2026 with 10 votes, #1,657 of 24,623 launches that month and more than 90% of that year's launches.
In plain words
Enola is a tool that maps and visualizes the architecture of distributed codebases across multiple repositories. It helps developers and AI agents quickly understand code relationships, trace function calls, assess the impact of changes, and identify unused code. Rather than repeatedly discovering architecture through searching, Enola provides a deterministic graph that persists across sessions, making it easier for both humans and AI coding agents to navigate complex microservice systems.
written from the facts on this page · September 2026
From the sources
Architecture intelligence for developers, coding agents, and CI - understand codebases, analyze change impact, and catch architectural regressions. - enola-labs/enola
In the maker’s words, at launch
Together with a friend, we were developing a golf application. Our codebase grew rapidly and became split between multiple repositories: the iOS app, Android app, backend, front-end, and extra tooling. Both of us also work in larger scale-ups, and we saw the same problem: understanding large distributed codebases…
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