Context-Driven Development

Teach Your Agents What Your System Already Knows

Aiugment is the context layer that makes Claude Code, Devin, and Cursor safe to deploy inside the legacy systems you actually run.

Fully documented, immediately governed, and endlessly auditable.

Works with Claude Code, Devin, Cursor, Codex, GitHub Copilot, and any LLM agent.

Why brownfield breaks agents

The Problem

Agentic tools fail in brownfield environments.

Undocumented legacy decisions hide in every layer.

Tribal knowledge walks out the door with your seniors.

Requirement drift ships the wrong thing every time.

Compliance frameworks demand audit trails agents never leave.

AI agents don't know why your system was built the way it was. Without that context, they make changes that break things in ways no one expected.

See how Aiugment formalizes context

How It Works

From legacy codebase to agent-ready — automatically.

Aiugment interrogates your existing systems, formalizes the knowledge inside them, and produces agent-ready context automatically. No code changes required.

Discover Hidden Context

Aiugment interrogates your codebase, databases, and documents to reconstruct what the system does — surfacing undocumented capabilities, dependencies, and decisions.

Formalize Institutional Knowledge

Discovered capabilities become structured requirements, acceptance criteria, and agent-safe guardrails — the institutional memory layer your AI agents need.

Enable Safe, Auditable Change

Developer agents operate inside structured context. Changes are scoped, logged, and compliant. The audit trail is built as a byproduct of execution.

Use Cases

The problems we solve.

Migration risk, knowledge retention, and compliance pressure — solved when agents operate inside validated context.

Without Aiugment

  • 6–18 months re-onboarding new engineers to legacy systems
  • Agent-caused incidents costing $50K–$500K per outage
  • Compliance audit failures — penalties and remediation cycles

With Aiugment

Engineer onboarding drops from months to days. Guardrails prevent agent incidents before production. SOC 2 audit evidence is generated automatically — no manual scavenger hunts.

A cloud migration was ready to begin — but no one fully understood the existing system well enough to trust AI agents with it. Aiugment mapped the system first, so agents operated inside validated context with safe modification boundaries.
migration lead
Three senior engineers were leaving. Aiugment's agents interrogated code history, tickets, and documentation to capture and formalize institutional knowledge before it disappeared permanently.
engineering director

Migrations

Unblocked with validated context

not guesswork against hidden dependencies

Knowledge

Captured before it walks out

not trapped in retiring engineers' heads

Compliance

Audit evidence built in

not assembled after the auditor asks

Representative scenarios from design partner conversations.

Get Started

Tell us about your system. We'll show you what your agents have been missing.

Pilot programs and design partner arrangements available for Fortune 1000 engineering teams in financial services, healthcare, and insurance.