Continuous Integrity

Idora’s context graph links what was checked, what was built, and what shipped in one verifiable, compounding model. Every push produces a receipt. The graph connects them across requirements, code, artifacts, and deployments. For humans and agents.

The gap no tool closes

Every team can tell you if tests passed. No tool can tell you whether what shipped matched what was decided.

Every step in the delivery process produces evidence in its own system. Requirements live in tickets, specs, and docs. The build lives in CI. The deployment lives in the pipeline. Connecting them requires reconstruction every time the question is asked. For teams running AI coding agents, this compounds with every sprint: more submissions, faster cycles, no persistent record connecting the requirement that started the work to the artifact that shipped.

Idora closes that gap. It ingests requirements from any source, verifies code against those requirements continuously, and answers questions about your delivery chain grounded in a compounding graph. The path from requirement to release becomes a first-class, queryable record.

What the graph connects

The proof that a requirement was satisfied in production is a path through four connected entities. Idora builds and maintains that path continuously:

These four are connected, not siloed. Shared nodes accumulate evidence with every push. The graph does not just get bigger. It gets denser. That density is what makes queries fast, answers reliable, and the record permanent.

Continuous integrity in practice

Every push writes into the same model. Requirements connect to the code that implements them. Code connects to the artifacts built from it. Artifacts connect to the receipts that prove they were verified. The graph accumulates evidence continuously. Queries that were expensive on day one approach zero cost on day thirty.

Continuous. Connected. Compounding.

Existing tools record what happened in isolation. Idora connects those records into a model that gets more valuable over time. Three properties produce that result:

The query surface

Humans query through natural language. Coding agents query before modifying files to get requirement and verification context. CI systems query through structured templates at key pipeline gates. All three interact with the same underlying graph. The five patterns below cover the questions that come up most in release decisions, incident response, and audit readiness.

A new layer in the stack

Continuous Integration gave teams confidence that code compiles. Continuous Delivery gave teams confidence that code deploys. Neither answers whether what shipped matched what was decided.

Continuous Integrity is the third layer. The permanent, queryable record connecting requirement to release. Idora provides it.