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HC3

Architecture overview

Holistic Continuous Code Context — how the engine indexes codebases, builds system intelligence, and fits your enterprise boundary.

Reference view
System view

From scattered repos to decisions you trust

HC3 sits as a bounded platform between the systems you already run and the surfaces where teams work—indexed continuously, explained honestly, and kept inside your boundary.

  • Every commit
  • 30+ languages · modern, legacy, and custom
  • Your cloud or data center
HC3 system architecture: experiences, platform, and your estateExperiences & delivery surfacesAccess planeWhere teams already workAnswers surface next to the code — in IDE, APIs, and docsHC3 platform · code intelligence coreContext graphContinuous context storePer-commit · durable · queryableReasoning layerGrounded code reasoningHosted models · cited from the graphAnalysis engineDeterministic program analysisASTs · control flow · dependency edgesSystem graphUnified system graphPackages, services, and deploy units linkedYour estate · systems you operateSource controlBranches & monoreposBuild & releasePipelines & deploysDeployable unitsServices & packages
A bounded platform sits between the delivery surfaces teams already use and the estate HC3 integrates — context beside grounded AI, with shared analysis and graph layers. Not a sequential pipeline, a system composition. Covers 30+ languages — from modern stacks to legacy and custom code.
See all supported integrations

Processing stays in your deployment boundary · your code is never used to train public models

How context is built

From indexed code to continuous intelligence

HC3 layers a cross-package data index, deterministic structure from ASTs, and AI summarization—then keeps the whole picture current as your systems evolve.

01

Code intake

Repositories, packages, and services connect inside your boundary—monorepos, microservices, and legacy stacks alike.

02

Inter-related index

Imports, module boundaries, and deployable units are woven into one graph so relationships are queryable across the portfolio.

03

AST & structure

Deterministic parsers and static analysis extract symbols, control flow, and dependency edges—the anchor for downstream reasoning.

04

Grounded AI

Models summarize, compare, and answer using that structure so narratives stay tied to real artifacts, not free-floating text.

05

Continuous context

Each commit re-syncs the model so diagrams, specs, and assistants stay aligned with what is actually running in production.

This overview will grow with deployment-boundary detail, integration matrices, and deeper diagrams. For full capability storylines across the product, use the HC3 section on Product, or book a walkthrough mapped to your estate.

HC3 on Product pageBook a technical walkthrough

Your enterprise systems, fully understood. In minutes, not months.

See how HC3 creates Living Knowledge across your codebase. 30-minute technical walkthrough with an enterprise architect. No slides, just a live demo on real code.

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