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Product

The intelligence to understand, operate, and transform

Adapts HC3 continuously indexes your codebases using semantic analysis, building living, queryable system intelligence that evolves with every commit.

Proprietary Technology

Adapts HC3

Holistic Continuous Code Context

Our proprietary context engine continuously indexes enterprise codebases across legacy and modern languages. It builds a living store of business logic, dependencies, and undocumented workflows.

Not repo by repo. Across hundreds of interconnected repositories, services, and infrastructure layers.

Adapts HC3 Advantage
Canonical Intelligence Across Every System

HC3 maps your entire system portfolio: every module, every business workflow, every dependency. When you change Service A, HC3 maps the blast radius of every change across Services B, C, and D.

How It Works
Continuous, Not Point-in-Time

HC3 indexes on every commit. As your codebase evolves, your system intelligence evolves with it. Current as of your last commit, not your last audit.

Enterprise Scale
Hundreds of Repos, One Context

Cross-repo dependency mapping, business logic extraction across languages, and full-stack awareness from infrastructure to UI. Built for the complexity enterprises actually have.

Deterministic + Continuous + Enterprise Scale
Grounded Intelligence, Not Hallucinations

Unlike one-time analyses or single-app tools, HC3 provides continuous, deterministic understanding across your entire system portfolio. AI tools get fact-grounded context from hundreds of interconnected services — not approximations from a single repo.

How It Works

One engine. Four capabilities.

01

Living Knowledge

Understand every system across your enterprise.

A living knowledge base that generates documentation, diagrams, and technical specifications. AI-powered Q&A spans the entire codebase. Every artifact stays current because HC3 indexes continuously.

  • Auto-generated functional and technical specs
  • Interactive architecture and dependency diagrams
  • Natural language Q&A with full system context
Architect onboarding: 3 weeks → 2 days
adapts-ai-botpublished knowledge/assistants/qa.session.yaml12s ago
Adapts QAlive

Ask anything across services, tests, and releases

Grounded answers from the org graph — never generic filler.

Adapts QAorders-qa · session
Live
If we ship orders v2, what's regression scope?
41 tests · 6 repos · 3 flags · 2 DB migrations. Grounded in call graph, release notes, and owners.
Helps with
  • impact before merge · blast radius in plain English
  • test gaps · env parity · rollout risk
  • cites repos, paths, and commits — org-wide
Always-current knowledge across your organization’s codebase — grounded in the system graph.
02

Automated DevOps

Operate with full system context.

Automate routine DevOps using system-wide intelligence. When an incident fires, HC3 already knows what changed, what depends on it, and who owns it.

  • Context-aware incident resolution
  • Change impact analysis before deployment
  • CI/CD integration with system-aware guardrails
Incident resolution: days → hours
adapts-ai-botreviewed src/app/api/chat/**/route.ts3m ago
Code reviewmed

Duplicated write across two routes

Thread→conversation mapping written twice with swallowed errors.

route.ts:42–44
Suggested
  • single writer via shared helper
  • idempotency key on write
  • fail fast on mapping errors
Reviews and responses from adapts-ai-bot, already reasoned from the system graph.
03

Automated Re-Architecture

Transform legacy systems safely, at scale.

HC3 understands the business rules embedded in your legacy systems. It extracts them, designs the target architecture, and generates production-ready code and test suites.

  • Business logic and workflow extraction from legacy code
  • Target architecture generation with IaC
  • Production-ready code generation with test suites
Discovery phase: 18 months → 1 month
adapts-ai-botproposed adr/retail-platform/0001-target.md2h ago
Architecture proposaldraft

Retail platform · monolith → domain services

6 domains · 14 services · event backbone, grounded in the estate.

0001-target.md:1–3
Covers
  • shape · trade-offs · run-cost
  • grounded in SLOs + SOX / PCI constraints
  • 14-month plan with parallel tracks
Designs and plans to modernize at scale — grounded in the system graph.
04

AI-Ready Systems

Make AI agents actually work across your codebase.

HC3 becomes the context layer that makes AI agents and dev tools work at enterprise scale. Deterministic system knowledge. Grounded in code, not inference.

  • Enterprise-scale context for AI coding agents
  • API-first integration with AI dev tools and CI/CD
  • MCP server integration for Claude, Codex, and any MCP-compatible agent. Native integration in VS Code, IntelliJ, and more.
AI agents that understand your systems
adapts-ai-botpublished integrations/mcp/servers.yaml18s ago
MCP servershealthy

Org-wide tool surface for agents and IDEs

stdio + HTTP transports · scoped to repos and roles.

Cursor · hc3-graph
Covers
  • tool manifests · authZ per workspace
  • health + version pins per server
  • agents + editors share one registry
Delivery surfaces for agents and teams — Jira, Confluence, Cursor+MCP, Actions, and APIs wired to HC3.
Built for Your Role

One platform, tailored to every team.

CIOs, architects, and developers each need different depth. Adapts delivers system intelligence at the right level for each.

CIO / VP Engineering

Accelerate timelines, de-risk modernization, free budget for innovation.

Architecture discovery: weeks → hours
Enterprise Architect

Understand every system, map every dependency, design with confidence.

System behavior mapping: months → days
Developer

Get answers about any codebase. Instantly.

Onboarding: 3 weeks → 2 days

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

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