SysEdge

SysEdge is a CLI tool that builds a knowledge graph around your software project's requirements, tests, and architecture standards. It's designed for teams using AI coding assistants like Claude Code or Kimi Code, giving those tools a queryable structure so they can answer questions about what the system is supposed to do and whether it's verified.

The problem it addresses is the gap between requirements documentation and actual test coverage. Most projects have user stories somewhere, tests somewhere else, and architecture decisions scattered across docs and commit messages. SysEdge links those layers together so you can ask whether a specific feature has unit tests, API tests, and end-to-end coverage, or whether a particular architecture standard has been addressed in the codebase.

Under the hood it works as an ontology layer. You define entities like stories, use cases, features, and tests, then SysEdge tracks the relationships between them. It runs structural checks that flag gaps: missing exception paths in a story, untestable acceptance criteria, features without corresponding tests at each tier of the V-model. The checks run locally and return results in seconds, so you can run them before committing or as part of CI.

It fits engineering teams that care about traceability but don't want the overhead of a heavyweight requirements management tool. If you've tried to bolt a language model onto your codebase and watched it hallucinate about what tests exist, SysEdge gives it ground truth. If you're shipping regulated software and need to show auditors that requirements trace to tests, it builds that mapping as a natural side effect of your workflow.

What sets it apart is the focus on ontology rather than just coverage percentages. It doesn't tell you that 80% of lines are covered; it tells you which features are missing UI tests or which architecture standards have no linked implementation. That level of granularity is what audits and AI assistants actually need.

The CLI is free under an MIT plus Commons Clause license, so you can use it without paying. There's also a Bootstrap Kit at $149 per repository that adds a web visualizer, AI audit commands, Docker setup, and twelve months of updates. Teams that want the visual layer or need to plug it into CI with AI-driven queries will want the paid tier; teams that just want the CLI checks can stay on free.