AI writes the code. Understanding is the work.

The living map of your systems.

ProvenMap turns code, docs, work items, and plans into architecture intelligence: shared system maps, focused context views, and the shared understanding your coding agents build from.

Free plan · No credit card · Watch the film

A board — a living architecture model — and a finding it surfaced: one store, reached by three applications.

The gap that's widening

Your architecture changes faster than anyone can follow the whole shape.

  1. Known by a few

  2. Generated by AI

  3. Read by no one

The shape of the estate still lives across diagrams, tickets, design decisions, work threads, and memory. AI coding agents now change those systems faster than people can trace what moved. Teams need shared understanding that stays connected across the estate.

One architecture model for the systems you have and the systems you are planning.

ProvenMap connects sources, maps, layers, decisions, and insights on one board. Teams use that current context to ask better architecture questions, agree the change, and see the relationships that matter.

The short version

The whole argument, in under two minutes.

A short film on why software systems are getting harder to hold in your head, and how ProvenMap turns source context into living architecture you can inspect, question, and build from.

Opening frame of the ProvenMap film

The walkthrough

How the living map becomes architecture intelligence.

ProvenMap gives teams a shared, current model of their systems. Use it to understand the landscape together, decide with cross-system impact visible, and hand that shared context to the coding agents that build the change.

  1. 01

    Understand

    Map the systems, sources, and relationships in scope.

  2. 02

    Decide

    Answer architecture questions with cross-system impact visible.

  3. 03

    Build

    Hand compiled skills, intents, and contracts to the coding agents — change an app, or author a new one.

  4. 04

    Prove

    The next sync marks matching intents proven against the code.

01 · Understand

Build a shared model of the systems in play.

Start with the system landscape: live applications, planned systems, third-party services, and the boundaries between them. Connect the sources behind each system so the model can stay current as those sources change. It becomes a ubiquitous language for the domain — drawn rather than written — that the people analysing and the people building both point at.

  1. 01Model> Name the systems, domains, and relationships.
  2. 02Ground> Attach the sources behind each part of the model.
  3. 03Navigate> Move from the landscape into the required level of detail.
  4. 04Refresh> Surface source changes and stale architecture.

Your sources

/configure # connect

/analyze # bind source

/sync # update the board

+24 nodes · +41 edges

→ runs locally — only derived metadata is pushed

Code & reposGitHub · GitLab
Docs & wikisConfluence · Notion
Work itemsJira · web & notes

Layers

Move from the cross-system landscape into a system, domain, service, or component when the decision calls for more detail.

L0System landscape

How do our systems connect?

L1Service

What's inside the billing service?

L2Component

What does this component do?

Outcome

One shared, layered architecture model — grounded in sources, current enough to trust, navigable from landscape to component — and the visual language everyone works in.

02 · Decide

See the impact. Define the change in context.

Before changing how customer orders are handled, the team asks which systems will be affected. ProvenMap returns a focused board so product, architecture, and engineering can agree the scope and sequence from the same context.

Ask your architecture

What else changes if we simplify customer ordering?

Board generated

Customer ordering — impact

The affected path across the systems involved — each relationship explained.

  1. 01Ask> Frame the proposed change as a question.
  2. 02Trace> Identify the systems and relationships in scope.
  3. 03Review> See the answer as a focused architecture board.
  4. 04Decide> Set the scope, sequence, and intended outcome.
Outcome

The team makes the decision with cross-system impact visible, then records the reasoning on the affected systems.

03–04 · Build and prove

The understanding is solved. Hand it to the coding agents.

Once an app board is understood, its context travels back into the repo: compiled skills that govern how your coding agents work, released intents anchored to real board elements, and the data and API contracts between systems. In a Claude Code, Codex, or Cursor session that context changes an existing app — or authors a new one from an empty repo.

The contextmap · intents · compiled skills

your coding agentClaude Code · Codex · Cursor

Existing app · changed

New app · built from empty

Compiled skills, intents and contracts pass from the app board to your coding agent, which changes an existing app or builds a new one.
Outcome

Analysis and engineering stop being a handoff: the person who understood the system and the person who ships the change speak the same visual languagetitle optional — and the agents build from it.

Explore architecture boards, published

Browse real architecture boards at provenmap.com/boards. Publish a contextual view when you want to share a system, a layer, or a planned change without exposing the underlying sources.

Browse published boards

Built for the context that architecture work depends on.

Proven, not reported

We run on it.

The board above models our own portal. We use the same map to review architecture, surface insights, plan work, and build the changes from it.

verified against the code
Rides your agents

They execute. We remember.

ProvenMap Code runs inside the coding session you already use and connects over MCP. Agents handle implementation; ProvenMap keeps the architecture context current outside any one session.

  • Claude Code
  • Codex
  • Cursor

analysis runs locally — only derived metadata is pushed

For every role

The whole team drives.

Analysts, PMs, engineers, and architects can ask questions, review impact, adopt decisions, and inspect context from the same board while ownership stays clear.

bottleneck → multiplier

Start with one system

Map a real system and see the architecture around it.

Start on the free plan, or book a walkthrough using your own system landscape.

No credit card · Analysis runs locally in your own session · Self-hosted available

Or for writing on architecture that stays connected across systems.

© 2026 Syntaxia App Platform Ltd.

Syntaxia App Platform Ltd. Registered in England and Wales, company no. 15272701 Registered office: 3rd Floor, 86–90 Paul Street, London EC2A 4NE, United Kingdom contact@provenmap.com