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    Home»Machine Learning & Research»Reverse Engineering Your Software program Structure with Claude Code to Assist Claude Code – O’Reilly
    Machine Learning & Research

    Reverse Engineering Your Software program Structure with Claude Code to Assist Claude Code – O’Reilly

    Oliver ChambersBy Oliver ChambersFebruary 6, 2026No Comments24 Mins Read
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    Reverse Engineering Your Software program Structure with Claude Code to Assist Claude Code – O’Reilly
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    Instance structure circulation reverse-engineered by Claude Code

    I’ve been utilizing Claude Code for a wide range of functions, and one factor I’ve realized is that the extra it understands concerning the performance of the system (the area, the use circumstances, the end-to-end flows), the extra it might probably assist me.

    For instance, once I paste a manufacturing error log, Claude can learn the stack hint, establish the affected code, and inform me if there’s a bug. However when the problem is extra complicated, like a buyer help ticket, and there’s no stack hint, Claude is much less helpful.

    The principle problem is that end-to-end processes are lengthy and sophisticated, spanning many code repositories. So simply asking Claude Code to investigate a single repository wasn’t going to work (and the default /init wasn’t producing adequate element even for this single codebase).

    So I made a decision to make use of Claude Code to investigate the system to map out the end-to-end flows related to the area I work in in order that Claude Code (and people) can use this to deal with extra complicated challenges.

    This put up shares what I knocked collectively in at some point, constructing on information and tooling I’ve already gained from actual work examples and experiments.

    That is one put up in a sequence. You’ll find the opposite posts right here.

    This put up was written 100% by me. I requested Claude to generate the anonymized instance on the finish mirroring the kind of content material and elegance utilized in the actual examples I created.

    Setting the Preliminary Context

    To start my challenge, I created a really mild necessities doc:

    # AI Structure Evaluation
    
    This doc comprises the directions for an essential activity - utilizing AI to outline the structure of this method, in order that it may be utilized by people and AI brokers to extra simply perceive the system.
    
    ## Goal
    
    Map out the entire flows that this utility is concerned in (use sub brokers the place essential to work in parallel). A circulation ought to map out the end-to-process from an motion within the UI (within the [readacted] repo) to a BFF, to backend APIs, or flows which can be triggered by occasions.
    
    Flows ought to be documented in Mermaid format to permit AI brokers to grasp, for versioning (in git), and for simple visualization.
    
    ## Necessities
    
    Every circulation ought to have a descriptive title and may embody:
    
    1. The URL path of the web page the place the interplay is triggered
    2. The URL path of the BFF endpoint (and the repository it lives in)
    3. The URL path of calls made to downstream companies
    4. Any database interactions
    5. Any occasions produced or consumed (full title of occasion e.g. orders.orderPlaced)
    6. Shoppers of occasions (if straightforward to establish)
    7. Any workflows triggered (just like the synchronizeOrder)
    
    To do that, you'll need to look in different repositories, which will be discovered within the mum or dad folder. The GitHub shopper can be used if mandatory.
    
    The record of flows ought to dwell in ../flows/index.md and every particular person circulation ought to be outlined in a separate folder.
    
    # The place to search out info
    
    - /docs/structure comprises varied folders describing the design of this method and area information
    - Every API challenge on this repository ([redacted], [redacted]) has an openapi.json. This should be used to establish all flows and validate. The [redacted] and [redacted] repositories even have openapi spec recordsdata
    - The entities within the area [redacted], [redacted] [redacted] have methodology that clearly describe the area operations that may be carried out on them. Equally, every operation is invoke from a use case that clearly describes the use case

    The output I need is end-to-end flows like:
    UI -> BFF -> API -> replace DB -> publish occasion -> handler -> use case -> publish occasion -> …

    I don’t need 10 totally different sorts of structure diagrams and totally different ranges of element. I need Claude Code to grasp the conduct of the system so it might probably establish anomalies (by manufacturing information and logs) and analyze the influence of potential modifications.

    I additionally created some mild details about the system in these two recordsdata:

    System design files

    The area ideas file explains the entities within the system. Very transient rationalization. The system overview file explains the connection between this codebase and different repositories, which is essential. Once more, it’s very mild—a bullet record of repository names and one or two sentences describing their relationship to this one.

    Looking out throughout a number of repositories

    The directions for this activity dwell inside the primary repository of the area I work in. That is the middle of the universe for this agent, but it surely wants to have the ability to learn different repositories to hitch up the end-to-end circulation.

    The answer I exploit for that is within the description above:

    To do that, you’ll need to look in different repositories which will be discovered within the mum or dad folder. The GitHub shopper can be used if mandatory.

    I give Claude the next permissions in .claude/settings.native.json and it might probably then entry all of the repositories on machine or use the GitHub shopper if it thinks there are repositories I don’t have accessible regionally:

    "permissions": {
       "permit": [
         ...
         "Read(//Users/nicktune/code/**)",
         ...

    Telling Claude where to look

    You’ll notice the requirements also give Claude tips on where to look for key information like Open API spec files, which are like an index of the operations the application supports.

    This is useful as a validation mechanism later in the flow. I would ask Claude, “List all of the API endpoints and events produced or consumed by this application—are there any that aren’t part of any flows.” I can then see if we may have missed anything important.

    Mapping the First Flow

    I put Claude in plan mode and asked it to read the file. It then popped up a short questionnaire asking me about my needs and preferences. One of the questions it asked was process related: Should we map out the whole system in parallel, work step-by-step, etc.?

    I said, let’s do the first one together and use this as a template for the others to follow.

    It took about two hours to build the first flow as I reviewed what Claude produced and gave feedback on what I needed. For example, at first it created a sequence diagram which looked nice but was too hard to read for complex flows that involve many repositories.

    Eventually, we settled on horizontal flow diagrams where each repository is a container and we defined what steps could be. At first, it went too granular with the steps adding individual method calls.

    ### diagram.mermaid Requirements
    **CRITICAL RULES:**
    1. **File Format**: Must be pure Mermaid syntax with `.mermaid` extension- NO markdown headers
     - NO markdown code fences (no ` ```mermaid ` wrapper)
     - Starts directly with `flowchart LR`
    2. **Use Swimlane Format**: `flowchart LR` (left-to-right with horizontal swimlanes)
     - Each repository is a horizontal swimlane (subgraph)
     - Flow progresses left to right
     - Swimlane labels should be prominent (use emoji for visibility)
     - Example: `subgraph systemA["🔧 systemA"]`
    3. **Programs as Containers**:
     - Every repository MUST be a `subgraph` (horizontal swimlane)
     - Repository title is the subgraph label
     - Operations are nodes contained in the subgraph
     - Use `route LR` inside every subgraph
    4. **Legitimate Step Sorts** - A step within the diagram can ONLY be one of many following:
     - **HTTP Endpoint**: Full endpoint path (e.g., `POST /blah/{blahId}/subblah`)
     - **Mixture Technique Name**: Area methodology on an combination (e.g., `Order.place`, `Delivery.organiz`)
     - **Database Operation**: Proven with cylinder form `[(Database: INSERT order)]`
     - **Occasion Publication**: (e.g., `Publish: non-public.ordering.order.positioned`)
     - **Workflow Set off**: Have to be labeled as workflow (e.g., `⚙️ Workflow: syncOrders`)
     - **Workflow Step**: Any step inside a workflow MUST embody the workflow title as prefix (e.g., `syncOrderWorkflow: Replace legacy order`, `updateOrderInfo: POST /legacy/fill-order`)
     - **Lambda Invocation**: (e.g., `Lambda: blah-blah-lambda-blah-blah`)
     - **UI Actions**: Consumer interactions (e.g., `Present modal kind`, `Consumer enters firstName, lastName`)

    I’ve added an anonymized circulation on the finish of this doc.

    I additionally had so as to add some corrections to Claude to make sure it was trying in all the correct locations and understanding what sure ideas imply in different components of our system; we weren’t simply iterating on the diagram for 2 hours.

    Selecting the Subsequent Movement

    After the primary circulation, the following flows went a lot sooner. I verified the output of every circulation and gave Claude suggestions, however usually round quarter-hour, and more often than not it was working so I might do different issues whereas ready.

    One of many attention-grabbing challenges was deciding which flows are literally wanted? What’s a circulation? The place ought to a circulation begin and finish? What about relationships between flows?

    Right here I used to be within the driving seat fairly a bit. I requested Claude to suggest flows (simply record them earlier than analyzing) after which I requested it to point out me how every API endpoint and occasion match into the flows, and we used that to iterate a bit.

    One of many issues I needed to do after Claude had produced the primary draft is to ask, “Are you certain there aren’t any different shoppers for these occasions that aren’t listed right here?” It might then do a extra thorough search and typically discover shoppers in repositories I didn’t have regionally. (It might use GitHub search.)

    Studying worth

    As I reviewed every use case, I used to be studying issues concerning the system that I didn’t totally perceive or perhaps there have been nuances I wasn’t conscious of. This alone would have justified all the hassle I spent on this.

    Then I began to think about the worth for people who find themselves new to a codebase or a legacy system that no one understands anymore. Or perhaps somebody who works in a distinct workforce and desires to determine how a bug or a change of their area is expounded to different domains.

    Evolving the Necessities

    As we went by way of the method, I frequently instructed Claude to replace the necessities file. So after we’d completed the primary circulation we had directions like this added to the file:

    ## Documentation Construction
    
    Every circulation should be documented in a separate folder with the next construction:
    
    ```
    docs/structure/flows/[flow-name]/
    ├── README.md              # Full documentation (all content material in a single file)
    └── diagram.mermaid        # Mermaid diagram
    ```
    
    **IMPORTANT**: Use ONLY these two recordsdata. Do NOT create separate diagram-notes.md or different recordsdata. Maintain all documentation consolidated in README.md for simpler upkeep.
    
    ### README.md Contents
    
    **Use the blueprint as a template**: `docs/structure/flows/[redacted]/`

    The file is now 449 strains lengthy.

    One of many causes I did this was in order that I might begin a brand new Claude session, now or sooner or later, with no fully clear context window and execute the method to get related outcomes.

    I did truly use a brand new session to map every new circulation to validate that the necessities have been considerably repeatable. Typically they have been, however typically Claude would ignore some components of the necessities. So on the finish, I instructed it to evaluation the necessities and evaluate the outputs, and it could often establish a lot of the errors it had made and repair them.

    Right here’s an instance of a number of the guidelines that began to construct up. Some have been to make sure Claude produced the correct kind of output, and a few have been to assist Claude keep away from frequent errors like Mermaid syntax errors.

    ### 2. Hint Workflows to Their Remaining Occasion

    **Drawback**: Lacking occasions since you do not learn the precise workflow implementation.

    **Rule**: If you encounter a workflow, you MUST:
    1. Discover the workflow definition file (often `.asl.json` for AWS Step Capabilities)
    2. Learn the ENTIRE workflow to see ALL occasions it publishes
    3. Doc EVERY occasion in sequence

    **Instance from our blueprint**:
    - We initially thought `[readacted]` ended with `[readacted]`
    - Studying `[redacted].asl.json` revealed it truly ends with `[readacted]`
    - This occasion was CRITICAL to the circulation persevering with

    **File places**:
    - Integrations workflows: `[another-repo]/domains/*/workflows/*.asl.json`
    - Search for `SendEvent` or `publish` actions within the workflow steps

    Claude Code by no means follows each instruction as described. However including these guidelines does appear to extend the standard and cut back the variety of iterations wanted.

    Testing the Output

    After I mapped out 4 or 5 of the flows, I made a decision it was time to try it out—Does this info truly assist Claude Code, or is it primarily only a human viewers that advantages from the outputs?

    So I went into our help ticket system and picked a ticket that appeared complicated. I requested my investigation agent to have a look at the ticket and establish the issue. However this time I added an additional step into its directions:

    4. Establish the affected flows in /docs/structure/flows

    As a part of its evaluation, it mentioned:

    Let me discover the structure flows to grasp how [redacted] and [redacted] ought to be dealt with:

    Then it produced its evaluation accurately figuring out the circulation and anticipated behaviors:

    ## Affected Movement
    
    **[BlahA Upload and BlahB History Thing](../structure/flows/[redacted]/README.md)**
    
    The [redacted] workflow ought to populate [redacted] information through:
    - [redacted] choice ([redacted] commonplace OR [redacted] enhanced based mostly on `[redacted]` flag)
    - Parallel execution of: DomainA, DomainB, DomainC, DomainD
    - Publishing `order.blahBlahed` occasion on completion
    …

    And for the following steps, it wished to question the occasions printed by the system to confirm that what truly occurred matched the anticipated behaviors outlined within the circulation:

    ### Step 1: Question [redacted] Occasions for Each [redacted]

    **Goal:** Examine occasion historical past to establish what occurred in a different way between outdated and new [redacted]

    **What to search for:**
    - `[redacted event name]` - Did [redacted] full for brand new [redacted]?
    - `[redacted event name]` - Had been [redacted] created?
    - `[redacted event name]` - Had been [redacted] created?
    - `[redacted event name]` - Did workflow full for brand new [redacted]?
    - `[redacted event name]` - Remaining affirmation occasion
    - Any error/failure occasions associated to the workflow

    Beforehand, Claude would have needed to analyze the codebase to work out what ought to have occurred. It takes a very long time and takes up quite a lot of context window for complicated duties, and the evaluation must be verified.

    Now, Claude is aware of instantly concerning the particular workflow and affected behaviors and may instantly start planning an investigation (if the documentation is correct sufficient). This evaluation is structured with the important thing info that I must see. I don’t must iterate with Claude to supply an evaluation within the format I would like.

    On this case, Claude didn’t resolve the issue instantly, however the dialog was extra like I may need with a workforce member—somebody who has a deeper understanding of how the system works and what is perhaps flawed right here slightly than simply utilizing Claude to investigate patterns in information, learn stack traces, or summarize textual content descriptions of the issue.

    Accuracy and Hallucinations

    I do assume it’s proper to be involved about accuracy. We don’t wish to make essential decisions about our system based mostly on incomplete or incorrect particulars. And there have been vital inaccuracies that I needed to spot and proper. (Think about if I didn’t know they have been flawed.)

    I explored the problem of accuracy in this later put upexhibiting how we will use deterministic instruments like ts-morph to construct the mannequin that people and AI can each profit from.

    So right here’s what I’m considering:

    1. Generally we don’t want excellent accuracy. So long as the agent picks the correct path, it might probably reinspect sure particulars or dive deeper as wanted.
    2. We will construct checks and steps in into our CI pipelines to replace issues.
    3. Usually destroy and regenerate the flows (as soon as 1 / 4?).
    4. Construct verification brokers or swarms.

    After I noticed an error and requested a brand new agent to investigate the circulation for inaccuracies, it rescanned the code and located what I noticed. So I believe possibility 4 may be very credible—it’s simply extra effort to construct a verification system (which might make the general effort not price it).

    However I’m undecided that is the optimum means of approaching the state of affairs. As an alternative…

    The Subsequent Section of Platform Engineering

    Avoiding the necessity to reverse engineer these flows will probably be key. And I’m beginning to assume this can turn into the primary problem for platform engineering groups: How can we construct frameworks and tooling that expose our system as a graph of dependencies? Constructed into our platform in order that AI brokers don’t must reverse engineer; they will simply seek the advice of the supply of fact.

    Issues ought to all occur transparently for software program engineers—you observe the platform paved path, and all the pieces simply works. Firms that do that, and particularly startups with no legacy, might immensely revenue from AI brokers.

    Instruments like EventCatalog are in a powerful place right here.

    Instance Movement

    I simply requested Claude to translate one in every of my firm’s area flows right into a boring ecommerce instance. The design and naming will not be essential; the kind of info and the visualization is what I’m making an attempt to convey.

    Keep in mind, that is based mostly on at some point of hacking round. I’m certain there are many enchancment alternatives right here. Let me know when you’ve got seen something higher.

    The README

    # Place Order with Cost and Success
    **Standing**: Energetic
    **Sort**: Write Operation
    **Complexity**: Excessive
    **Final Up to date**: 2025-10-19
    ## Overview
    
    This circulation paperwork the method of inserting an order in an ecommerce system, together with cost authorization, stock reservation, and cargo creation. That is the baseline order placement expertise the place:
    - Orders begin with `standing: 'pending'`
    - Cost is permitted earlier than stock reservation
    - Stock is reserved upon profitable cost
    - Cargo is created after stock reservation
    ## Movement Boundaries
    
    **Begin**: Buyer clicks "Place Order" button on checkout web page
    
    **Finish**: Publication of `delivery.shipment-created` occasion (public occasion with `DOMAIN` scope)
    
    **Scope**: This circulation covers your entire course of from preliminary order submission by way of cost authorization, stock reservation, cargo creation, and all asynchronous negative effects triggered by these operations.
    ## Fast Reference
    
    ### API Endpoints
    
    | Endpoint | Technique | Repository | Function |
    |----------|--------|------------|---------|
    | `/checkout` | GET | storefront-app | Checkout web page |
    | `/api/orders` | POST | order-api | Creates order |
    | `/api/funds/authorize` | POST | payment-api | Authorizes cost |
    | `/api/stock/reserve` | POST | inventory-api | Reserves stock |
    | `/api/shipments` | POST | shipping-api | Creates cargo |
    | `/api/orders/{orderId}/standing` | GET | order-api | Frontend polls for order standing |
    ### Occasions Reference
    
    | Occasion Identify | Area | Topic | Function | Shoppers |
    |------------|--------|---------|---------|-----------|
    | `non-public.orders.order.created` | ORDERS | order | Order creation | PaymentHandler, AnalyticsHandler |
    | `non-public.funds.cost.licensed` | PAYMENTS | cost | Cost licensed | InventoryReservationHandler |
    | `non-public.funds.cost.failed` | PAYMENTS | cost | Cost failed | OrderCancellationHandler |
    | `non-public.stock.inventory.reserved` | INVENTORY | inventory | Stock reserved | ShipmentCreationHandler |
    | `non-public.stock.inventory.inadequate` | INVENTORY | inventory | Inadequate inventory | OrderCancellationHandler |
    | `non-public.delivery.cargo.created` | SHIPPING | cargo | Cargo created | NotificationHandler |
    | `delivery.shipment-created` | SHIPPING | cargo | **PUBLIC** Cargo created | Exterior shoppers |
    ### Database Tables
    
    | Desk | Operation | Key Fields | Function |
    |-------|-----------|------------|---------|
    | `orders` | INSERT | orderId, customerId, standing="pending", totalAmount | Order combination storage |
    | `order_items` | INSERT | orderItemId, orderId, productId, amount, worth | Order line objects |
    | `funds` | INSERT | paymentId, orderId, quantity, standing="licensed" | Cost combination storage |
    | `inventory_reservations` | INSERT | reservationId, orderId, productId, amount | Stock reservation monitoring |
    | `shipments` | INSERT | shipmentId, orderId, trackingNumber, standing="pending" | Cargo combination storage |
    ### Area Operations
    
    | Mixture | Technique | Function |
    |-----------|--------|---------|
    | Order | `Order.create()` | Creates new order with pending standing |
    | Order | `Order.confirmPayment()` | Marks cost as confirmed |
    | Order | `Order.cancel()` | Cancels order attributable to cost or stock failure |
    | Cost | `Cost.authorize()` | Authorizes cost for order |
    | Cost | `Cost.seize()` | Captures licensed cost |
    | Stock | `Stock.reserve()` | Reserves inventory for order |
    | Cargo | `Cargo.create()` | Creates cargo for order |
    
    ## Key Traits
    
    | Side | Worth |
    |--------|-------|
    | Order Standing | Makes use of `standing` discipline: `'pending'` → `'confirmed'` → `'shipped'` |
    | Cost Standing | Makes use of `standing` discipline: `'pending'` → `'licensed'` → `'captured'` |
    | Stock Technique | Reserve-on-payment method |
    | Cargo Standing | Makes use of `standing` discipline: `'pending'` → `'prepared'` → `'shipped'` |
    
    ## Movement Steps
    
    1. **Buyer** navigates to checkout web page in storefront-app (`/checkout`)
    2. **Buyer** evaluations order particulars and clicks "Place Order" button
    3. **storefront-app UI** exhibits loading state with order affirmation message
    4. **storefront-app** sends POST request to order-api (`/api/orders`)
      - Request contains: customerId, objects (productId, amount, worth), shippingAddress, billingAddress
    5. **order-api** creates Order combination with `standing: 'pending'` and persists to database
    6. **order-api** creates OrderItem information for every merchandise within the order
    7. **order-api** publishes `non-public.orders.order.created` occasion
    8. **order-api** returns orderId and order particulars to storefront-app
    9. **storefront-app** redirects buyer to order affirmation web page
    
    ### Asynchronous Aspect Results - Cost Processing
    
    10. **order-events-consumer** receives `non-public.orders.order.created` occasion
    11. **PaymentHandler** processes the occasion
       - Calls payment-api to authorize cost
    12. **payment-api** calls exterior cost gateway (Stripe, PayPal, and so on.)
    13. **payment-api** creates Cost combination with `standing: 'licensed'` and persists to database
    14. **payment-api** publishes `non-public.funds.cost.licensed` occasion (on success)
       - OR publishes `non-public.funds.cost.failed` occasion (on failure)
    ### Asynchronous Aspect Results - Stock Reservation
    
    15. **payment-events-consumer** receives `non-public.funds.cost.licensed` occasion
    16. **InventoryReservationHandler** processes the occasion
       - Calls inventory-api to order inventory
    17. **inventory-api** hundreds Stock combination for every product
    18. **inventory-api** calls `Stock.reserve()` for every order merchandise
       - Validates adequate inventory accessible
       - Creates reservation file
       - Decrements accessible inventory
    19. **inventory-api** creates InventoryReservation information and persists to database
    20. **inventory-api** publishes `non-public.stock.inventory.reserved` occasion (on success)
       - OR publishes `non-public.stock.inventory.inadequate` occasion (on failure)
    ### Asynchronous Aspect Results - Cargo Creation
    
    21. **inventory-events-consumer** receives `non-public.stock.inventory.reserved` occasion
    22. **ShipmentCreationHandler** processes the occasion
       - Calls shipping-api to create cargo
    23. **shipping-api** creates Cargo combination with `standing: 'pending'` and persists to database
    24. **shipping-api** calls exterior delivery service API to generate monitoring quantity
    25. **shipping-api** updates Cargo with trackingNumber
    26. **shipping-api** publishes `non-public.delivery.cargo.created` occasion
    27. **shipping-events-consumer** receives `non-public.delivery.cargo.created` occasion
       - **ShipmentCreatedPublicHandler** processes the occasion
       - Masses cargo from repository to get full cargo particulars
       - Publishes public occasion: `delivery.shipment-created`
       - **This marks the END of the circulation**
    ### Order Standing Updates
    
    28. All through the circulation, order-api receives occasions and updates order standing:
       - On `non-public.funds.cost.licensed`: Updates order with paymentId
       - On `non-public.stock.inventory.reserved`: Updates order to `standing: 'confirmed'`
       - On `non-public.delivery.cargo.created`: Updates order to `standing: 'shipped'`
    ### Failure Eventualities
    
    **Cost Failure**:
    - On `non-public.funds.cost.failed`: OrderCancellationHandler cancels order
    - Order standing up to date to `'cancelled'`
    - Buyer notified through electronic mail
    **Stock Failure**:
    - On `non-public.stock.inventory.inadequate`: OrderCancellationHandler cancels order
    - Cost authorization is voided
    - Order standing up to date to `'cancelled'`
    - Buyer notified through electronic mail with choice to backorder
    ## Repositories Concerned
    
    - **storefront-app**: Frontend UI
    - **order-api**: Order area
    - **payment-api**: Cost area
    - **inventory-api**: Stock area
    - **shipping-api**: Delivery and achievement area
    - **notification-api**: Buyer notifications
    ## Associated Flows
    
    - **Course of Refund**: Movement for dealing with order refunds and returns
    - **Replace Cargo Standing**: Movement for monitoring cargo supply standing
    - **Stock Reconciliation**: Movement for syncing stock counts with warehouse methods
    ## Occasions Produced
    
    | Occasion | Function |
    |-------|---------|
    | `non-public.orders.order.created` | Notifies {that a} new order has been created |
    | `non-public.funds.cost.licensed` | Notifies that cost has been licensed |
    | `non-public.funds.cost.failed` | Notifies that cost authorization failed |
    | `non-public.stock.inventory.reserved` | Notifies that stock has been reserved |
    | `non-public.stock.inventory.inadequate` | Notifies that inadequate stock is accessible |
    | `non-public.delivery.cargo.created` | Inside occasion that cargo has been created |
    | `delivery.shipment-created` | **Public occasion** that cargo is created and prepared for service pickup |
    ## Occasion Shoppers
    
    ### `non-public.orders.order.created` Shoppers
    
    #### 1. order-events-consumer
    
    **Handler**: `PaymentHandler`
    
    **Function**: Initiates cost authorization course of
    
    **Actions**:
    - Subscribes to occasion
    - Calls `AuthorizePayment` use case
    - Invokes payment-api to authorize cost with cost gateway
    - Publishes cost consequence occasion
    #### 2. order-events-consumer
    
    **Handler**: `AnalyticsHandler`
    
    **Function**: Tracks order creation for analytics
    
    **Actions**:
    - Subscribes to occasion
    - Sends order information to analytics platform
    - Updates conversion monitoring
    ### `non-public.funds.cost.licensed` Shopper
    
    #### payment-events-consumer
    
    **Handler**: `InventoryReservationHandler`
    
    **Function**: Reserves stock after profitable cost
    
    **Actions**:
    - Subscribes to occasion
    - Calls `ReserveInventory` use case
    - Masses order particulars
    - Calls inventory-api to order inventory for every merchandise
    - Publishes stock reservation consequence occasion
    ### `non-public.funds.cost.failed` Shopper
    
    #### payment-events-consumer
    
    **Handler**: `OrderCancellationHandler`
    
    **Function**: Cancels order when cost fails
    
    **Actions**:
    - Subscribes to occasion
    - Calls `CancelOrder` use case
    - Updates order standing to 'cancelled'
    - Triggers buyer notification
    
    ### `non-public.stock.inventory.reserved` Shopper
    
    #### inventory-events-consumer
    
    **Handler**: `ShipmentCreationHandler`
    
    **Function**: Creates cargo after stock reservation
    
    **Actions**:
    - Subscribes to occasion
    - Calls `CreateShipment` use case
    - Calls shipping-api to create cargo file
    - Integrates with delivery service API for monitoring quantity
    - Publishes cargo created occasion
    ### `non-public.stock.inventory.inadequate` Shopper
    
    #### inventory-events-consumer
    
    **Handler**: `OrderCancellationHandler`
    
    **Function**: Cancels order when stock is inadequate
    
    **Actions**:
    - Subscribes to occasion
    - Calls `CancelOrder` use case
    - Voids cost authorization
    - Updates order standing to 'cancelled'
    - Triggers buyer notification with backorder possibility
    
    ### `non-public.delivery.cargo.created` Shopper
    
    #### shipping-events-consumer
    
    **Handler**: `ShipmentCreatedPublicHandler`
    
    **Function**: Converts non-public cargo occasion to public occasion
    
    **Actions**:
    - Subscribes to `non-public.delivery.cargo.created` occasion
    - Masses cargo from repository
    - Publishes public occasion: `delivery.shipment-created`
    
    **Handler**: `NotificationHandler`
    
    **Function**: Notifies buyer of cargo creation
    
    **Actions**:
    - Subscribes to occasion
    - Sends affirmation electronic mail with monitoring quantity
    - Sends SMS notification (if opted in)
    ## Database Operations
    
    ### orders Desk
    - **Operation**: INSERT (through upsert)
    - **Key Fields**: orderId, customerId, standing="pending", totalAmount, createdAt
    - **Repository**: `OrderRepository`
    
    ### order_items Desk
    - **Operation**: INSERT (batch)
    - **Key Fields**: orderItemId, orderId, productId, amount, worth
    - **Repository**: `OrderItemRepository`
    
    ### funds Desk
    - **Operation**: INSERT (through upsert)
    - **Key Fields**: paymentId, orderId, quantity, standing="licensed", gatewayTransactionId
    - **Repository**: `PaymentRepository`
    
    ### inventory_reservations Desk
    - **Operation**: INSERT (through upsert)
    - **Key Fields**: reservationId, orderId, productId, amount, reservedAt
    - **Repository**: `InventoryReservationRepository`
    
    ### shipments Desk
    - **Operation**: INSERT (through upsert)
    - **Key Fields**: shipmentId, orderId, trackingNumber, standing="pending", service
    - **Repository**: `ShipmentRepository`
    ## Exterior Integrations
    
    - **Cost Gateway Integration**: Authorizes and captures funds through Stripe API
     - Endpoint: `/v1/payment_intents`
     - Synchronous name throughout cost authorization
    
    - **Delivery Service Integration**: Generates monitoring numbers through service API
     - Endpoint: `/api/v1/shipments`
     - Synchronous name throughout cargo creation
    ## What Occurs After This Movement
    
    This circulation ends with the publication of the `delivery.shipment-created` public occasion, which marks the order as totally processed and prepared for service pickup.
    
    ### State at Movement Completion
    - Order: `standing: 'shipped'`
    - Cost: `standing: 'licensed'` (will probably be captured on precise cargo)
    - Stock: Inventory reserved and decremented
    - Cargo: `standing: 'pending'`, trackingNumber assigned
    
    ### Subsequent Steps
    After this circulation completes:
    - Warehouse workforce picks and packs the order
    - Service picks up the cargo
    - Delivery standing updates circulation tracks supply
    - Cost is captured upon confirmed cargo
    - Buyer can monitor order through monitoring quantity
    
    ### Exterior System Integration
    As soon as the `delivery.shipment-created` occasion is printed:
    - Warehouse administration system begins choose/pack course of
    - Buyer notification system sends monitoring updates
    - Logistics companions obtain cargo manifest
    - Analytics methods monitor achievement metrics
    ## Diagram
    
    See [diagram.mermaid](./diagram.mermaid) for the entire visible circulation exhibiting the development by way of methods with horizontal swim lanes for every service.

    The Mermaid:

    The Mermaid
    flowchart LR
       Begin([Customer clicks Place Order
    on checkout page]) subgraph storefront["🌐 storefront-app"] route LR ShowCheckout[Show checkout page] CustomerReview[Customer reviews order] ShowConfirmation[Show order
    confirmation page] finish
     CustomerWaitsForShipment([Customer receives
    shipment notification])
    subgraph orderService["📦 order-api"]
           route LR
           CreateOrderEndpoint["POST /api/orders"]
           OrderCreate[Order.create]
           OrderDB[(Database:
    INSERT orders,
    order_items)] PublishOrderCreated["Publish: private.orders
    .order.created"] ReceivePaymentAuth["Receive: private.payments
    .payment.authorized"] UpdateOrderPayment[Update order
    with paymentId] ReceiveStockReserved["Receive: private.inventory
    .stock.reserved"] OrderConfirm[Order.confirmPayment] UpdateOrderConfirmed[(Database:
    UPDATE orders
    status="confirmed")] ReceiveShipmentCreated["Receive: private.shipping
    .shipment.created"] UpdateOrderShipped[(Database:
    UPDATE orders
    status="shipped")] finish
     subgraph paymentService["💳 payment-api"]
           route LR
           ReceiveOrderCreated["Receive: private.orders
    .order.created"] AuthorizeEndpoint["POST /api/payments/
    authorize"] PaymentGateway["External: Payment
    Gateway API
    (Stripe)"] PaymentAuthorize[Payment.authorize] PaymentDB[(Database:
    INSERT payments)] PublishPaymentAuth["Publish: private.payments
    .payment.authorized"] finish
     subgraph inventoryService["📊 inventory-api"]
           route LR
           ReceivePaymentAuth2["Receive: private.payments
    .payment.authorized"] ReserveEndpoint["POST /api/inventory/
    reserve"] InventoryReserve[Inventory.reserve] InventoryDB[(Database:
    INSERT inventory_reservations
    UPDATE product stock)] PublishStockReserved["Publish: private.inventory
    .stock.reserved"] finish
     subgraph shippingService["🚚 shipping-api"]
           route LR
           ReceiveStockReserved2["Receive: private.inventory
    .stock.reserved"] CreateShipmentEndpoint["POST /api/shipments"] CarrierAPI["External: Shipping
    Carrier API
    (FedEx/UPS)"] ShipmentCreate[Shipment.create] ShipmentDB[(Database:
    INSERT shipments)] PublishShipmentCreated["Publish: private.shipping
    .shipment.created"] ReceiveShipmentCreatedPrivate["Receive: private.shipping
    .shipment.created"] LoadShipment[Load shipment
    from repository] PublishPublicEvent["Publish: shipping
    .shipment-created"] FlowEnd([Flow End:
    Public event published]) finish
       Begin --> ShowCheckout
       ShowCheckout --> CustomerReview
       CustomerReview --> CreateOrderEndpoint
       CreateOrderEndpoint --> OrderCreate
       OrderCreate --> OrderDB
       OrderDB --> PublishOrderCreated
       PublishOrderCreated --> ShowConfirmation
       PublishOrderCreated -.-> ReceiveOrderCreated
       ReceiveOrderCreated --> AuthorizeEndpoint
       AuthorizeEndpoint --> PaymentGateway
       PaymentGateway --> PaymentAuthorize
       PaymentAuthorize --> PaymentDB
       PaymentDB --> PublishPaymentAuth
       PublishPaymentAuth -.-> ReceivePaymentAuth
       ReceivePaymentAuth --> UpdateOrderPayment
       PublishPaymentAuth -.-> ReceivePaymentAuth2
       ReceivePaymentAuth2 --> ReserveEndpoint
       ReserveEndpoint --> InventoryReserve
       InventoryReserve --> InventoryDB
       InventoryDB --> PublishStockReserved
       PublishStockReserved -.-> ReceiveStockReserved
       ReceiveStockReserved --> OrderConfirm
       OrderConfirm --> UpdateOrderConfirmed
       PublishStockReserved -.-> ReceiveStockReserved2
       ReceiveStockReserved2 --> CreateShipmentEndpoint
       CreateShipmentEndpoint --> CarrierAPI
       CarrierAPI --> ShipmentCreate
       ShipmentCreate --> ShipmentDB
       ShipmentDB --> PublishShipmentCreated
       PublishShipmentCreated -.-> ReceiveShipmentCreated
       ReceiveShipmentCreated --> UpdateOrderShipped
       PublishShipmentCreated -.-> ReceiveShipmentCreatedPrivate
       ReceiveShipmentCreatedPrivate --> LoadShipment
       LoadShipment --> PublishPublicEvent
       PublishPublicEvent --> FlowEnd
       FlowEnd -.-> CustomerWaitsForShipment
       model Begin fill:#e1f5e1
       model FlowEnd fill:#ffe1e1
       model CustomerWaitsForShipment fill:#e1f5e1
       model PublishOrderCreated fill:#fff4e1
       model PublishPaymentAuth fill:#fff4e1
       model PublishStockReserved fill:#fff4e1
       model PublishShipmentCreated fill:#fff4e1
       model PublishPublicEvent fill:#fff4e1
       model OrderDB fill:#e1f0ff
       model PaymentDB fill:#e1f0ff
       model InventoryDB fill:#e1f0ff
       model ShipmentDB fill:#e1f0ff
       model UpdateOrderConfirmed fill:#e1f0ff
       model UpdateOrderShipped fill:#e1f0ff
       model PaymentGateway fill:#ffe1f5
       model CarrierAPI fill:#ffe1f5
    
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