Resource library
Understand the system before trusting the result.
Read the workflows, architecture boundaries, integration guides, and security model behind deterministic software intelligence.
Featured resources
Practical paths into Ontoly.
A deterministic workflow for AI coding agents
Move from search to stable node, impact, evidence, and implementation plan without unbounded repository reads.
Why the Software Graph stays immutable
Understand the boundary between compiler facts, derived intelligence, and model explanations.
Connect Ontoly through MCP
Expose validated capabilities and structured errors to compatible editors and coding agents.
Make graph validation a release gate
Use deterministic hashes, diagnostics, coverage, and policy outcomes in CI.
Inspect evidence inside VS Code
Bring symbol impact, graph status, and request traces beside the code under review.
Evidence boundaries for model explanations
Keep raw repositories out of provider prompts and explain only bounded graph evidence.
Start with evidence
Start with the graph. Add the surface you need.
The documentation follows the same progression as the product: build, resolve, impact, evidence, integration.